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					Variable Present Name Variable label in file HOUSEHOLD LEVEL VARIABLES File information Unique country/year id COUNTRY number YES 43 Germany 1989

Value labels

Source

LIS code

Unique household unit CASENUM number

YES

LIS code Original household level weight data (weights for each weight and every household)

HWEIGHT

Sample weight

YES

DEFLATE

Deflation factor Country specific household information

YES

LIS code

HSLOT1

NO

Country specific HSLOT2 household information Demographic variables

NO 0 no couple present in household 1 married couple 2 married couple, head and spouse interchanged by lis 3 non-married cohabiting couple 4 non-married cohabiting couple, lis interchanged partners 5 non-married cohabiting couple, both partners same sex

MARRIED D1

Married couple indicator Age of head

YES YES

Derived from LIS individual level data Derived from LIS individual level data Derived from LIS individual level data Derived from LIS individual level data Derived from LIS individual level data LIS code Derived from LIS individual level data and imputed individual level data (Cross National Equivalent File)

D2 D3 D4 D5

Age of spouse Sex of head Number of persons in household Family structure

YES YES YES YES 1 male 2 female

5 household

D6

Number of earners

YES

Variable Name

Variable label

Present in file

Value labels 0 Berlin (west) 1 Schleswig-Holstein 2 Hamburg 3 Niedersachsen 4 Bremen 5 Nordrhein-Westfalen 6 Hessen 7 Rheinland-Pfalz + Saarland 8 Baden-Wuerttemberg 9 Bayern 11 Berlin (ost) 12 Mecklenburg-Vorpommern 13 Brandenburg 14 Sachsen-Anhalt 15 Thueringen 16 Sachsen See Basic Desriptives for details.

Source

D7 D8

Geographic location indicator A Ethnicity/Nationality of head

YES YES

Original household level roster data (full roster with every household that ever participated) Derived from LIS individual level data Derived from LIS individual level data

Ethnicity/Nationality of ETHNATSP spouse

YES

D10

Educational level (head)

YES

D11

Educational level (spouse)

YES

D12

Occupational training of head

YES

See Basic Desriptives for details. 1 secondary general education (Hauptschule) 2 secondary general education , 1st stage (Realschule) 3 secondary general education , 2nd stage (Abitur) 4 academy (Fachoberschule) 5 technical college (Fachhochschule) 6 university (Universitaet) 7 foreign university (Hochschule im Ausland) 8 technical school GDR (Ingenieurfachschule Ost) 9 university GDR (Hochschule Ost) 10 other diploma 11 left school without diplom 12 still in education 1 secondary general education (Hauptschule) 2 secondary general education , 1st stage (Realschule) 3 secondary general education , 2nd stage (Abitur) 4 academy (Fachoberschule) 5 technical college (Fachhochschule) 6 university (Universitaet) 7 foreign university (Hochschule im Ausland) 8 technical school GDR (Ingenieurfachschule Ost) 9 university GDR (Hochschule Ost) 10 other diploma 11 left school without diplom 12 still in education 1 apprenticeship (Lehre) 2 specialized vocational school / trade school / commercial school (Berufsfachschule) 4 vocational technical school (Fachschule) 5 civil servants training (Beamtenausbildung) 6 other vocational training

Derived from LIS individual level data

Derived from LIS individual level data

Derived from LIS individual level data

Variable Name

Variable label

Present in file

D13

Occupational training of spouse

YES

Value labels 1 apprenticeship (Lehre) 2 specialized vocational school / trade school / commercial school (Berufsfachschule) 4 vocational technical school (Fachschule) 5 civil servants training (Beamtenausbildung) 6 other vocational training 4-digit ISCO-88 standard. See Basic Desriptives for details.

Source

Derived from LIS individual level data Derived from LIS individual level data

D14

Occupation of head

YES

D15

Occupation of spouse

YES

4-digit ISCO-88 standard. See Basic Desriptives for details. 3-digit NACE-standard. See Basic Desriptives for details.

Derived from LIS individual level data Derived from LIS individual level data

D16

Industry of head

YES

D17

Industry of spouse Type (status) of worker head

YES

3-digit NACE-standard. See Basic Desriptives for details. 1 public sector 2 private sector

Derived from LIS individual level data Derived from LIS individual level data

D18

YES

D19

Type (status) of worker spouse

YES

1 public sector 2 private sector 1 less than 20,000 inhabitants 2 20,000 to 100,000 inhabitants 3 more than 100,000 inhabitants 1 never married 2 married (incl separated) 3 divorced 4 widowed 5 living together with steady partner 1 never married 2 married (incl separated) 3 divorced 4 widowed 5 living together with steady partner

D20

Geographic location indicator B

YES

Derived from LIS individual level data Original household level regional information (full roster, regonal information)

D21

Marital status of head

YES

Derived from LIS individual level data

MARTSP

Marital status of spouse

YES

Derived from LIS individual level data Generated household level data (all interviewed households, generated cross sectional variables) Derived from LIS individual level data

D22 D25

Tenure (owned/rented housing) Disability status of head

YES YES

1 tenant 2 subtenant 3 owner 4 rentfree

Variable Name

Variable label Disability status of spouse Number of children under age 18 Age of the youngest child Number of persons aged 65 to 74 Number of persons aged 75 or more

Present in file

Value labels

Source Derived from LIS individual level data Derived from LIS individual level data Derived from LIS individual level data Derived from LIS individual level data Derived from LIS individual level data

D26

YES

D27

YES

D28 NUM6574

YES YES

NUMGE75

YES 11 unskilled worker 12 semi-skilled worker 13 skilled worker 14 worker, foreman 15 mastercraftsman 21 indepent farmer 22 selfemployed, free profession 23 selfemployed, other profession 24 unpaid family worker 31 apprentice, trainee 41 employee, foreman 42 employee, unskilled, no certificate 43 employee, unskilled, with certificate 44 employee, skilled 45 professionals 46 managers 51 civil servant, lower level 52 civil servant, clerk 53 civil servant, higer level 54 senior government officials

ACTIVHD

Activity status of head

YES

Derived from LIS individual level data

Variable Name

Variable label

Present in file

Value labels 11 unskilled worker 12 semi-skilled worker 13 skilled worker 14 worker, foreman 15 mastercraftsman 21 indepent farmer 22 selfemployed, free profession 23 selfemployed, other profession 24 unpaid family worker 31 apprentice, trainee 41 employee, foreman 42 employee, unskilled, no certificate 43 employee, unskilled, with certificate 44 employee, skilled 45 professionals 46 managers 51 civil servant, lower level 52 civil servant, clerk 53 civil servant, higer level 54 senior government officials

Source

Activity status of spouse Immigration status of IMMIGRHD head Immigration status of IMMIGRSP spouse ACTIVSP

YES NO NO

Derived from LIS individual level data

LFSHD

Labour force status of head

YES

LFSSP

Labour force status of spouse

YES

1 employed, full-time 2 employed, part-time 3 paid apprenticeship, trainee 4 compulsory military or civil service 5 unemployed 6 student 7 retired 8 other not working 1 employed, full-time 2 employed, part-time 3 paid apprenticeship, trainee 4 compulsory military or civil service 5 unemployed 6 student 7 retired 8 other not working

Derived from LIS individual level data

Derived from LIS individual level data Derived from LIS individual level data

Weeks worked fullWEEKHDFT time head

YES

Weeks worked fullWEEKSPFT time spouse Weeks worked partWEEKHDPT time head

YES

Derived from LIS individual level data Derived from LIS individual level data

YES

Variable Name

Variable label

Present in file

Value labels

Source

Weeks worked partWEEKSPPT time spouse

YES

Derived from LIS individual level data

Weeks unemployed WEEKHDUP head

YES

Derived from LIS individual level data

Weeks unemployed WEEKSPUP spouse Hours worked per week head

YES

Derived from LIS individual level data Derived from LIS individual level data

HRSHD

YES

Hours worked per HRSSP week spouse Expenditure variables

YES

Derived from LIS individual level data

FOODEXP Food expenditures

NO

HOUSEXP Housing expenditures Clothing expenditures Transportation TRANEXP expenditures Child care CHCAREXP expenditures Education EDUCEXP expenditures Out of pocket medical expenditures Total family unit expenditures APPEXP

NO NO NO NO NO

MEDEXP TOTEXP

NO NO

Income variables Aggregated over individuals from LIS individual level file

V1

Gross wages and salaries

YES

Variable Name V1NET

Variable label Net wages and salaries

Present in file NO

Value labels

Source

V2

Mandatory Employer Contribution Non mandatory Employer Contribution

YES

Simulated household level data (Cross National Equivalent File)

V3

NO Aggregated over individuals from individual level imputed data (Cross National Equivalent File) Aggregated over individuals from individual level imputed data (Cross National Equivalent File)

V4

Farm self-employment income

YES

V5

Non-farm selfemployment income

YES

V6

V7

In-kind earnings Mandatory Contribution for SelfEmployment

NO

NO

V8 V8S1 V8S2 V8S3 V8S4 V8SR V8X

Cash property income Interests and dividends Rental income Private savings plans Royalties Other cash property income Interest paid

YES NO NO NO NO NO NO

Imputed household level data (Cross National Equivalent File)

V9

V10

Noncash property income Market value: residence (homeowners)

YES

Imputed household level data (Cross National Equivalent File)

NO

Variable Name

Variable label

Present in file

Value labels

Source Simulated household level data (Cross National Equivalent File)

V11 V12

Income taxes Property or wealth taxes

YES NO

V13 V14 V15

Mandatory Employee Contribution Other direct taxes Indirect taxes

YES NO NO

Simulated household level data (Cross National Equivalent File)

V16

Sick Pay

NO

V17

Accident Pay

YES

Aggregated over individuals from imputed individual level data (Cross National Equivalent File)

V18

Disability Pay

NO

V19

Social Retirement Benefits

YES

LIS household level data

V19S1 V19S2 V19S3

Basic old age benefit Supplementary old age benefit Early retirement benefit

YES NO NO

Aggregated over individuals from imputed individual level data (Cross National Equivalent File)

Variable Name

Variable label

Present in file

Value labels

Source

V19S4

Survivor's pensions Other social retirement not included inV19S1V19S4

YES

Aggregated over individuals from imputed individual level data (Cross National Equivalent File)

V19SR

NO

V20

Family or Child Allowance

YES

LIS household level data Imputed household level data (Cross National Equivalent File)

V20S1

Child allowance Advance maintenance (single parents pgm) Orphan's pension allowance Other child allowance amounts

YES

V20S2 V20S3 V20SR

NO NO NO

V21

Unemployment Compensation

YES

V21S1

Unemployment insurance

YES

V21S2 V21S3

Training or retraining allowance Placement/resettlemen t benefits

YES NO

LIS household level data Aggregated over individuals from imputed individual level data (Cross National Equivalent File) Aggregated over individuals from imputed individual level data (Cross National Equivalent File)

V21SR

Other unemployment benefits

NO

Variable Name

Variable label

Present in file

Value labels

Source

V22

Maternity Allowances

YES

LIS household level data Aggregated over individuals from imputed individual level (Cross National Equivalent File )

V22S1

Pay replacement

YES

V22S2

V22SR

Birth premium Other maternity/paternity benefits

NO

NO

V23 V24 V24S1 V24S2 V24S3

Military/Vet/War Benefits Other Social Insurance Invalid care premium Non means-tested student premium Non means-tested child-care benefit

YES NO NO NO NO

Aggregated over individuals from imputed individual level data (Cross National Equivalent File )

V24SR

Other social benefits

NO

V25

Means-Tested Cash Benefits

YES

LIS household level data Imputed household level data (Cross National Equivalent File) Aggregated over individuals from imputed individual level data (Cross National Equivalent File)

V25S1 V25S2

Social assistance Old age assistance

YES NO

V25S3

Unemployment assistance

YES

Variable Name V25S4

Variable label Unmarried mother's allowance

Present in file NO

Value labels

Source

V25SR

Other means-tested allowance

YES

Imputed household level data (Cross National Equivalent File)

V26 V26S1

All Near-Cash Benefits Near cash food benefits

YES NO

LIS household level data

V26S2 V26S3 V26S4

Near cash housing benefits Near cash medical benefits Near cash heating benefits

YES NO NO

Imputed household level data (Cross National Equivalent File)

V26S5 V26S6

Near cash education benefits Near cash child care benefits Other near cash means-tested benefits Value of non cash food benefits Value of non cash housing benefits Value of non cash medical benefits Value of non cash heating benefits Value of non cash education benefits Value of non-cash care benefits

YES NO

Aggregated over individuals from imputed individual level data (Cross National Equivalent File)

V26SR V27 V28 V29 V30 V31 V31A

NO NO NO NO NO NO NO

Variable label Alternate non-cash ALTNCASH income

Variable Name

Present in file NO

Value labels

Source

V32

Private Pensions

YES

LIS household level data

V32S1 V32S2

Occupational pensions Opting out pensions

YES NO

Aggregated over individuals from imputed individual level data (Cross National Equivalent File)

V32SR

Other private pension income

YES

Aggregated over individuals from imputed individual level data (Cross National Equivalent File) Aggregated over individuals from LIS individual level data

V33

Public Sector Pensions Alimony or Child Support

YES

V34

NO Aggregated over individuals from original individual level adult data (all interviewed persons )

V34X

Alimony/child support paid

YES

V35

Other Regular Private Income

YES

LIS household level data Aggregated over individuals from imputed individual level data (Cross National Equivalent File)

V35S1

V35S2 V35SR

Regular transfers from relatives Reg.transfers from private charitable organ. Other regular private income

YES

NO NO

Variable Name V35X V36 V37 V37S1

Variable label Regular transfers paid to relatives Other Cash Income Realized Lump Sum Income Capital gains and losses Other lump sum income

Present in file NO NO NO NO

Value labels

Source

V37SR

NO

V39 V39NET

Gross wage/salary of head Net wage/salary of head Hourly wage rate of head

YES NO

Derived from LIS individual level data

V40

YES

Derived from LIS individual level data

V41 V41NET

Gross wage/salary of spouse Net wage/salary of spouse

YES NO

Derived from LIS individual level data

Hourly wage rate of spouse Near cash housing NEARCHB benefits Near cash except NEARCOB housing LIS income aggregates V42

YES NO NO

Derived from LIS individual level data

SELFI

Total self employment income

YES

LIS household level data

EARNING

Total earnings

YES

LIS household level data

FI

Total factor income

YES

LIS household level data

Variable Name

Variable label

Present in file

Value labels

Source

PENSIOI

Total occupational pensions

YES

LIS household level data

MI

Total market income

YES

LIS household level data

MEANSI

Total means-tested income Total social insurance (Excl. V19, V20 and V21)

YES

LIS household level data

OTHSOCI

YES

LIS household level data

SOCI

Total social insurance transfer

YES

LIS household level data

SOCTRANS Total social transfers

YES

LIS household level data

PRIVATI

Total private transfers

YES

LIS household level data

TRANSI

Total transfer income

YES

LIS household level data

GI

Total gross income

YES

LIS household level data

PAYROLL

Total mandatory payroll taxes

YES

LIS household level data

DPI

Net disposable income

YES

LIS household level data

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments

COUNTRY = 43.

No missing values.

See variables description. (original variable: hhnrakt = household number - aktuelle Haushaltsnummer )

No missing values.

German Socio-Economic Panel Study, Wave G (#7); survey held in 1990; income data relate to 1989. The following households have been dropped: - households where one member who was eligible for interview did not respond (228 households); - households with at least one member with zero weight (1 such household).

HWEIGHT = ghhrf , where hhrf.ghhrf = w eight 1990 (Hochrechnungsfaktor 1990) .

No missing values.

Before the introduction of sample D (Immigrants - started in the 1994 survey), no households had a zero weight. Deflation factor serves to correct for extreme high inflation for some Eastern European countries. Value if per default 1 in other countries.

DEFLATE = 1.

No missing values.

See variable descriptives. D1 = PAGE if PPNUM = 1.

No missing values. No missing values. No missing values. Not applicable (no spouse) = sysmis. No missing values. No missing values. No missing values.

In cases the female head and male spouse were interchanged by LIS.

D1 = PAGE if PPNUM = 2. D3 = PSEX if PPNUM = 1. D4 = sum(iD4) over individuals, where iD4=1. D5 = 5. D6 = sum(iD6) over individuals in household, where iD6 = 1 if PGWAGE>0 or iself90 ~=0, else iD6=0, and where gpequiv.iself90 = gross self-employment income, annual amount imputed from gpkal.gp2b03 (brutto Einkommen aus Selbständige Tätigkeit, imputierter Jahresbetrag) .

No missing values.

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments

D7 = gbula , where ghbrutto.gbula = province (Bundesland) . D8 = PETHNAT if PPNUM = 1.

Missing values = sysmis. No missing values. Missing values and not applicable (no spouse) = sysmis.

ETHNATSP = PETHNAT if PPNUM=2.

D10 = PEDUC if PPNUM = 1.

Missing values = sysmis.

See comment for PEDUC.

D11 = PEDUC if PPNUM = 2.

Missing values and not applicable (no spouse) = sysmis.

See comment for PEDUC.

D12 = PTOCC if PPNUM = 1.

Missing values and not applicable (no occupational training) = sysmis.

See comment for PTOCC.

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments

D13 = PTOCC if PPNUM = 2.

D14 = POCC if PPNUM = 1.

D15 = POCC if PPNUM = 2.

D16 = PIND if PPNUM=1.

D17 = PIND if PPNUM=2.

D18 = PTYPEWK if PPNUM=1.

D19 = PTYPEWK if PPNUM=2. D20 = 1 if gggk =1 to 3, D20 = 2 if gggk =4 or 5, D20 = 3 if gggk =6 or 7, where ggkbou.gggk = size of municipality (Gemeindegroesseklasse) .

Missing values and not applicable (no spouse or spouse without occupational training) = sysmis. Missing values = sysmis. Not applicable (not working or conscripts) = -1. Missing values and not applicable (no spouse) = sysmis. Not applicable (spouse not working) = -1. Missing values = sysmis. Not applicable (not working or conscripts) = -1. Missing values and not applicable (no spouse) = sysmis. Not applicable (spouse not working) = -1. Missing values = sysmis. Not applicable (not working or conscripts) = -1. Missing values and not applicable (no spouse) = sysmis. Not applicable (spouse not working) = -1.

See comment for PTOCC.

Missing values = sysmis.

The original variable provides a more detailed breakdown only for municipalities in former Western-Germany; to get a uniform code for all municipalities (including those in former Eatern-Germany), a threecategory code had to be used.

D21 = PMART if PPNUM=1.

No missing values.

MARTSP = PMART if PPNUM=2. D22 = 1 if geigen =2 or 4, D22 = 2 if geigen =3, D22 = 3 if geigen =1, D22 = 4 if gnomiet =1, where ghgen.geigen = owner or renter ? (Eigentuemer oder Mieter?), ghgen.gnomiet = not paying rent (zahle keine Miete) . D25 = PDISABL if PPNUM=1.

No missing values. Not applicable (no spouse) = sysmis.

No missing values. Missing values = sysmis.

Original variable geigen has a code 2 for main tenant and a code 4 for tenant; LIS lumped them together into D22 label 1 (tenant).

Variable construction

D26 = PDISABL if PPNUM=2. D27 = sum(iD27) over individuals, where iD27=1 if (PAGE<18 & PREL~=1, 2 or 3 & PMART=1 or missing), otherwise iD27=0. D28 = min(iD28) over individuals, where iD28=PAGE if iD27=1, otherwise iD28=99 reset D28=-1 if D28=99. NUM6574 = sum(iNUM6574) over individuals, where iNUM6574=1 if (PAGE>64 & PAGE<75), otherwise iNUM6574=0. NUMGE75 = sum(iNUMGE75) over individuals, where iNUMGE75=1 if PAGE>74, otherwise iNUMGE75=0.

Missing values / not applicable Missing values and not applicable (no spouse) = sysmis.

Net / gross (income variables)

Comments

No missing values. No missing values. Not applicable (no children) = sysmis. No missing values.

Head, spouse and (ever) married children are excluded.

No missing values.

ACTIVHD = PACTIV if PPNUM=1.

Missing values and not applicable (not working or conscripts) = sysmis.

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments

ACTIVSP = PACTIV if PPNUM=2.

Missing values and not applicable (no spouse or spouse not working) = sysmis. Variable not available in original dataset. Variable not available in original dataset.

LFSHD = PLFS if PPNUM=1.

No missing values.

LFSP = PLFS if PPNUM=2.

WEEKHDFT = PWEEKFT if PPNUM=1.

WEEKSPFT = PWEEKFT if PPNUM=2.

WEEKHDPT = PWEEKPT if PPNUM=1.

Missing values and not applicable (no spouse) = sysmis. Missing values and not applicable (never worked fulltime in 2000) = symis. Missing values and not applicable (no spouse or spouse never worked full-time in 2000) = sysmis. Missing values and not applicable (never worked parttime in 2000) = sysmis.

Variable construction

WEEKSPPT = PWEEKPT if PPNUM=2.

Missing values / not applicable Missing values and not applicable (no spouse or spouse never worked parttime in 2000) = sysmis. Missing values and not applicable (never unemployed in 2000) = sysmis. Missing values and not applicable (no spouse or spouse never unemployed in 2000) = sysmis. Missing values = sysmis. Not applicable (not working or conscripts) = 0. Missing values and not applicable (no spouse) = sysmis. Not applicable (spouse not working) = 0.

Net / gross (income variables)

Comments

WEEKHDUP = PWEEKUP if PPNUM=1.

WEEKSPUP = PWEEKUP if PPNUM=2.

HRSHD = PHOURS if PPNUM=1.

HRSSP = PHOURS if PPNUM=2.

Variable not available in original dataset. Normal expenditures on provisions (normale Lebensmitteleinkaufe) were only recorder in a few GSOEP waves.

Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset.

Variable not available in original dataset. Variable not available in original dataset. All income variables have been imputed. The imputation concerned both the monthly amount received as well as the number of months and was carried out either at the individual or household level according to the type of income; the resulting imputed variables are aggregate annual values. Taxes and contributions have been simulated (not deriving from the survey, but completely caclulated). No missing values (imputed). Not applicable (no such income in household) = 0.

V1 = sum(iV1) over individuals in household, where iV1 = PGWAGE.

gross

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments Variable not available in original dataset. Taxes and contributions are not asked in GSOEP, but are simulated (Johannes Schwarze routine); the simulation is carried out at the household level only. By default, the employer contributions are put at equal amounts as the employee contributions.

V2 = i1111290 , where gpequiv.i1111290 = social contribution taxes, fully imputed.

No missing values (simulated). Not applicable (no such contributions in household) = 0.

n/a

V4 = sum(iV4) over individuals in household, where iV4 = iself90 if PIND<100, and where gpequiv.iself90 = gross self-employment income, annual amount imputed from gpkal.gp2b03 (brutto Einkommen aus Selbständige Tätigkeit, imputierter Jahresbetrag) . V5 = sum(iV5) over individuals in household, where iV5 = iself90 if PIND>=100 or missing, and where gpequiv.iself90 = gross self-employment income, annual amount imputed from gpkal.gp2b03 (brutto Einkommen aus Selbständige Tätigkeit, imputierter Jahresbetrag) .

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

Variable not available in original dataset. The original variable underlying the imputed one (gpkal.gp2b03 ) gives the personal monthly (gross-) income from commercial enterprise or from their self-employed job, if necessary according to the last available Tax Statement; the monthly value results from the yearly incomes divided by 12.

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

See comment for V4. Variable not separately available in original dataset (in-kind benefit from employer and for self-employment are included in V1, V4 and V5). Variable not separately available in original dataset. The social tax payable by self-employed is included in V11.

V8 = divdy90 + renty90 + opery90 , where gpequiv.divdy90 = interests and dividends, annual amount imputed from variable gh.gh4101 (Einnahmen aus Zinsen und Dividenden, imputierter Jahresbetrag) , gpequiv.renty90 = income from renting ground or real-estate, annual amount imputed from gh.gh38 (Einnahmen aus Vermietung von Grund- oder Hausbesitz, imputierter Jahresbetrag) , gpequiv.opery90 = running- and maintenance costs, annual (negative) amount No missing values (imputed). imputed from gh.gh3901 (Betriebs- und Instandhaltungskosten, imputierter Not applicable (no such Jahresbetrag) . income in household) = 0.

gross

There are many negative net rental incomes due to high costs. Variable introduced in Wave V. Variable introduced in Wave V. Variable introduced in Wave V. Variable introduced in Wave V. Variable introduced in Wave V.

V9 = i1110590 , where gpequiv.i1110590 = imputed rent for owner occupied dwelling, annual imputed value (imputierte Mietkosten, Jahresbetrag) .

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

Variable not available in original dataset.

Variable construction

V11 = i1111190 , where gpequiv.i1111190 = federal taxes, fully imputed.

Missing values / not applicable No missing values (simulated). Not applicable (no such taxes in household) = 0.

Net / gross (income variables)

Comments Taxes and contributions are not asked in GSOEP, but are simulated (Johannes Schwarze routine); the simulation is carried out at the household level only. Variable not available in original dataset.

n/a

V13 = i1111290 , where gpequiv.i1111290 = social contribution taxes, fully imputed.

No missing values (simulated). Not applicable (no such contributions in household) = 0.

n/a

Taxes and contributions are not asked in GSOEP, but are simulated (Johannes Schwarze routine); the simulation is carried out at the household level only. Variable not available in original dataset. Variable not available in original dataset. Variable not separately available in original dataset (both the continued wage paid by the employer and the sickness benefit paid by the health insurance after 6 weeks are included in V1 because the respondent does not know who pays the benefit/salary).

V17 = sum(iV17) over individuals in household, where iV17 = iguv190 + iguv290 , and where gpequiv.iguv190 = invalidity pensions from accident insurance, annual amount imputed from gpkal.gp2d02 and gp.gp7406 (Invaliditätsrente der Unfallversicherung, imputierter Jahresbetrag) , gpequiv.iguv290 = survivors' pensions from accident insurance, annual amount imputed from gpkal.gp2e02 and gp.gp7415 (Witwen-/Witwer/Waisenrente der Unfallversicherungversorgung, imputierter Jahresbetrag) .

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

Including pensions from Occupational Accident Insurance (Unfallversicherung) , incl. employment injury pension (Invalisitatsrente) and survivor's pension (Witwer-/Witwen/Waisenrente) . In the original survey, invalidity pensions are lumped together with oldage pensions; nevertheless, differetly than with later waves, it was impossible to separate them because there was no info on invalidity grade.

V19 = V19S1 + V19S4. V19S1 = sum(iV19S1) over individuals in household, where iV19S1 = igrv190 + ismp190 + iagr190 , and where gpequiv.igrv190 = old-age/invalidity pensions for blue/white collars, annual amount imputed from gpkal.gp2d02 and gp.gp7401 (Alters/Invaliditätsrentenversicherung der Arbeiter und Angestellten, imputierter Jahresbetrag) , gpequiv.ismp190 = old-age/invalidity pensions for miners, annual amount imputed from gpkal.gp2d02 and gp.gp7402 (Alters-/Invaliditätsrente der Knappschaft, imputierter Jahresbetrag) , gpequiv.iagr190 = old-age/invalidity assistance for farmers, annual amount No missing values (imputed). imputed from gpkal.gp2d02 and gp.gp7405 (Alters-/Invaliditätsrente der Not applicable (no such Altershilfe der Landwirte, imputierter Jahresbetrag) . income in household) = 0.

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

gross

Including Old-age pension (Altersrente) [incl. standard old-age pension (Regelaltersrente) , long service pension (Altersrente für langjährig Versicherte) , old-age pension after unemployment (Altersrente wegen Arbeitslosigkeit) , old-age pension for women (Altersrente für Frauen) , severe disability pension (Altersrente für schwerbehinderte Menschen) ] and Invalidity Pension (Invaliditätsrente) [incl. both occupational Invalidity pension (Berufsunfähigkeit) and general invalidity pension (Erwerbsunfähigkeit) ]. Partial pensions (Teilrente) were only introduced in 1992. Variable not available in original survey. Variable not available in original survey.

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments

V19S4 = sum(iV19S4) over individuals in household, where iV19S4 = igrv290 + ismp290 + iagr290 , and gpequiv.igrv290 = survivors' pensions for blue/white collars, annual amount imputed from gpkal.gp2e02 and gp.gp7410 (Witwen-/Witwer-/Waisenrentenversicherung der Arbeiter und Angestellten, imputierter Jahresbetrag) , gpequiv.ismp290 = survivors' pensions for miners, annual amount imputed from gpkal.gp2e02 and gp.gp7411 (Witwen-/Witwer-/Waisenrente der Knappschaft, imputierter Jahresbetrag) , gpequiv.iagr290 = survivors' pensions for farmers, annual amount imputed No missing values (imputed). from gpkal.gp2e02 and gp.gp7414 (Witwen-/Witwer-/Waisenrente der Not applicable (no such Altershilfe der Landwirte, imputierter Jahresbetrag) . income in household) = 0.

gross

Including Widow's or widower's pension (Witwer-/Witwenrente) , incl. (minor and major pension), Orphan's pension (Waisenrente) and Childraising pension (Erziehungsrente) .

Variable not available in original survey. No missing values (imputed). Not applicable (no such income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0.

V20 = V20S1. V20S1 = chspt90 , where gpequiv.chspt90 = child allowance, annual amount imputed from gh.gh3603 (Kindergeld, imputierter Jahresbetrag) .

gross

gross Advance payment of maintenance (Unterhaltsvorschuss) exists in Germany, but was not included in survey??. Variable not separately available in original survey: orphan's pension (Waisenpension) is included in V19S4. Variable not available in original survey.

V21 = V21S1 + V21S2. V21S1 = sum(iV21S1) over individuals in household, where iV21S1 = iunby90 , where gpequiv.iunby90 = unemployment insurance benefits, annual amount imputed from gpkal.gp2f02-03 (Arbeitslosengeld, imputierter Jahresbetrag) . V21S2 = sum(iV21S2) over individuals in household, where iV21S2 = isuby90 , where gpequiv.isuby90 = living assitance by training/retraining, annual amount imputed from gpkal.gp2h02-03 (Unterhaltungsgeld bei Fortbildung/Umschulung, imputierter Jahresbetrag) .

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

No missing values (imputed). Not applicable (no such income in household) = 0.

gross Variable not available in original survey. Variable not available in original survey (transition pay/other unemployment allowance from the Employment Offiice (Übergangsgeld, sonstiges) were available separately only as of Wave 13 onwards).

Variable construction

Missing values / not applicable No missing values (imputed). Not applicable (no such income in household) = 0.

Net / gross (income variables)

Comments

V22 = V22S1. V22S1 = sum(iV22S1) over individuals in household, where iV22S1 = imaty90 , and where gpequiv.imaty90 = maternity pay, annual amount imputed from gpkal.gp2j02-03 (Mutterschaftsgeld und Erziehungsgeld, imputierter Jahresbetrag) .

gross

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

Including Maternity Benefit (Mutterschaftsgeld) , Birth Grant (Entbinudungsgeld) and Child-raising Allowance (Erziehungsgeld). Variable not separately available in original survey: Birth Grant (Entbinudungsgeld) to insured persons not entitled to Maternity Benefit is included in V22S1?.

Variable not available in original survey. V23 = sum(iV23) over individuals in household, where iV23 = iwar190 + iwar290 , and where gpequiv.iwar190 = old-age/inalidity pensions for war victims, annual amount imputed from gpkal.gp2d02 and gp.gp7404 (Invaliditaetsrente der Kriegsopferversorgung, imputierter Jahresbetrag) , gpequiv.iwar290 = survivros' pensions for war victims, annual amount imputed No missing values (imputed). from gpkal.gp2e02 and gp.gp7413 (Witwen-/Witwer-/Waisenrente der Not applicable (no such Kriegsopferversorgung, imputierter Jahresbetrag), income in household) = 0.

gross Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset. Governmental homeowner assistance (staatliche Wohneigentumsförderung) available to owner occupiers is only recorded from Wave 17 onwards. The amount of such assistance included here for GE00 only includes the real-estate subvention (Eigenheimzulage) following the new regulation (for houses or flats acquired after 1995), which was thus not existing before 1996.

V25 = V25S1 + V25S3 + V25SR.

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

V25S1 = subst90 , No missing values (imputed). where gpequiv.subst90 = subsistence allowance, annual amount imputed from Not applicable (no such gh.gh3302 (laufende Hilfe zum Lebensunterhalt, imputierter Jahresbetrag) . income in household) = 0.

gross Variable not available in original dataset.

V25S3 = sum(iV25S3) over individuals in household, where iV25S3 = iunay90 , and where gpequiv.iunay90 = unemployment assistance, annual amount imputed from gpkal.gp2g02-03 (Arbeitslosenhilfe, imputierter Jahresbetrag) .

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

Assistance from the labor office for people who are registered unemployed at the labor office and are said to be "in need" by the labor office after meeting the requirements of a means test.

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments Variable not available in original dataset.

V25SR = sphlp90 , where gpequiv.sphlp90 = assistance for special circumstances, annual amount imputed from gh.gh3402-03 (Hilfe in besonderen Lebenslagen, imputierter Jahresbetrag).

No missing values (imputed). Not applicable (no such income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0.

V26 = V26S2 + V26S5.

gross Variable not available in original dataset.

V26S2 = house90 , and where gpequiv.house90 = housing allowance, annual amount imputed from gh.gh3102-03 (Wohngeld, imputierter Jahresbetrag).

No missing values (imputed). Not applicable (no such income in household) = 0.

gross Variable not available in original dataset. Variable not available in original dataset.

V26S5 = sum(iV26S5) over individuals in household, where iV26S5 = istudy90 , and where gpequiv.istudy90 = educational assistance, stipends, vocational training grants, annual amount imputed from gpkal.gp2k02-03 (BAföG, Stipendium, Berufsausbildungshilfe, imputierter Jahresbetrag) .

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

BAföG: German short form for Bundesausbildungsförderungsgesetz (student loan / grant assistance law); it is the acronymn for federal payment of maintainance to trainees who are in need and who attend universities / colleges, specialized colleges and acadamies, training colleges and technical colleges, secondary modern schools (night schools), Berufsaufbauschulen , intermediate secondary schools, high school diploma school (university entry level (night school)), vocational colleges, high school diploma school (university entry level), colleges and comparable institutions; it is possible to receive student loan / grant payment (BAföG) from the "office for promotion of training". The original variable also contains stipends from private institutions (foundations). Variable not available in original dataset.

Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset.

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments Variable not available in original dataset.

V32 = V32S1 + V32SR. V32S1 = sum(iV32S1) over individuals in household, where iV32S1 = icom190 + icom290 , where gpequiv.icom190 = old-age/invalidity pensions from occupational insurance, annual amount imputed from gpkal.gp2d02 and gp.gp7408 (betriebliche Alters-/Invaliditätsversorgung, imputierter Jahresbetrag), gpequiv.icom290 = survivors' pensions from occupational insurance, annual amount imputed from gpkal.gp2e02 and gp.gp7417 (Witwen-/Witwer/Waisenrente der betriebliche Alters-/Invaliditätsversorgung, imputierter Jahresbetrag) .

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

Including occupational own and survivors' pensions (please note that as of Wave V survivors pensions are included in V32SR). Variable not available in original dataset (no such system in Germany).

V32SR = sum(iV32SR) over individuals in household, where iV32SR = ison190 + ison290 , and where gpequiv.ison190 = other old-age/invalidity pensions, annual amount imputed from gpkal.gp2d02 and gp.gp7409 (sonstige Alters/Invaliditätsversorgung, imputierter Jahresbetrag) , gpequiv.ison290 = other survivors' pensions, annual amount imputed from No missing values (imputed). gpkal.gp2e02 and gp.gp7418 (sonstige Witwen-/Witwer-/Waisenversorgung, Not applicable (no such imputierter Jahresbetrag) . income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0.

gross

Including any other type of pension which is not in any other pension variable (V17, V19S1, V19S3, V19S4, V32S1); this is typically own private pensions from a private insurance, or pension schemes of specific professions like doctors or lawyers who are not forced to be a member of the compulsory pension system. Please note that as of Wave V these pensions are included in V8S3.

V33 = sum(iV33) over individuals in household, where iV33 = PPUBPEN.

gross

Including old-age/invalidity/survivors' pensions and supplementary pensions for civil servants. Variable not separately available in original dataset (alimony gesetzliche Unterhaltszahlungen was available separately from persons other than ex-partner from wave other Wave 18 onwards).

V34X = sum(iV34X) over individuals in household, where iV34X = gp7806 , and where gp.gp7806 = alimony to ex-spouse (Unterstutzung gezahlt an geschiedenen Ehepartner, Betrag).

Missing values = sysmis. Not applicable (no such expenditure in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0.

n/a

V35 = V35S1. V35S1 = sum(iV35S1) over individuals in household, where iV35S1 = ielse90 , and where gpequiv.ielse90 = other support from persons living outside the household, annual amount imputed from gpkal.gp2m02-03 (sonstige Unterstuetzung von Personen die nicht im Haushalt leben, imputierter Jahresbetrag) .

gross

No missing values (imputed). Not applicable (no such income in household) = 0.

gross

Variable not available in original dataset. Variable not available in original dataset.

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments Variable introduced in Wave V. Variable not available in original dataset. Variable not available in original dataset. Variable not available in original dataset. Information about redemption pay from the company at the end of one's job (Betrieb bei Beendigung der Beschaeftigung eine Abfindung) was not separately available until Wave 8.

V39 = PGWAGE if PPNUM=1.

No missing values (imputed). Not applicable (not receiving wage) = 0.

gross Variable not available in original dataset.

V40 = PHRWAGE if PPNUM=1.

Missing values = sysmis. Not applicable (not receiving wage) = 0. No missing values (imputed). Not applicable (no spouse) = sysmis. Not applicable (spouse not receiving wage) = 0.

gross

V41 = PGWAGE if PPNUM=2.

gross Variable not available in original dataset.

V42 = PHRWAGE if PPNUM=2.

Missing values and not applicable (no spouse) = sysmis. Not applicable (spouse not receiving wage) = 0.

gross From wave IV on, this variable has been replaced by V26S2. From wave IV on, this variable has been replaced byV26 - V26S2.

SELFI = V4 + V5.

No missing values (imputed). Not applicable (no such income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0.

gross

EARNING = V1 + V4 + V5.

gross

FI = V1 + V4 + V5 + V8.

gross

Variable construction

Missing values / not applicable No missing values (imputed). Not applicable (no such income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0.

Net / gross (income variables)

Comments

PENSIOI = V32 + V33.

gross

MI = V1 + V4 + V5 + V8 + V32 + V33.

gross

MEANSI = V25 + V26.

gross

OTHSOCI = V16 + V17 + V18 + V22 + V23 + V24.

gross

SOCI = V16 + V17 + V18 + V19 + V20 + V21 + V22 + V23 + V24.

gross

No missing values (imputed). SOCTRANS = V16 + V17 + V18 + V19 + V20 + V21 + V22 + V23 + V24 + V25 Not applicable (no such + V26. income in household) = 0. No missing values (imputed). Not applicable (no such income in household) = 0.

gross

PRIVATI = V34 + V35.

gross

No missing values (imputed). SOCTRANS = V16 + V17 + V18 + V19 + V20 + V21 + V22 + V23 + V24 + V25 Not applicable (no such + V26 + V34 + V35. income in household) = 0. No missing values (imputed). GI = V1 + V4 + V5 + V8 + V16 + V17 + V18 + V19 + V20 + V21 + V22 + V23 + Not applicable (no such V24 + V25 + V26 + V32 + V33 + V34 + V35 + V36. income in household) = 0. No missing values (imputed). Not applicable (no such taxes in household) = 0.

gross

gross

PAYROLL = V7 + V11 + V13.

n/a

No missing values (imputed). DPI = (V1 + V4 + V5 + V8 + V16 + V17 + V18 + V19 + V20 + V21 + V22 + V23 Not applicable (no such + V24 + V25 + V26 + V32 + V33 + V34 + V35 + V36) - (V7 + V11 + V13). income in household) = 0.

net

Number of observations
Missing and not applicable values have been excluded Unweighted

4411

4411

4411

4411

0

0

4411 4411

3081 4411 4411 4411

4411

Number of observations
Missing and not applicable values have been excluded

4410 4411

3081

4377

3046

2813

Number of observations
Missing and not applicable values have been excluded

1626

4175

2903

4289

2936

4378

3039

4410

4411

3081

4410 0

Number of observations
Missing and not applicable values have been excluded

0

4411

1570 4411

4411

3026

Number of observations
Missing and not applicable values have been excluded

1482 0 0

4411

3081

3040

943

150

Number of observations
Missing and not applicable values have been excluded

759

268

149

4298

2991

0

0 0 0 0 0

0 0

3391

Number of observations
Missing and not applicable values have been excluded

0

4055

0

61

373

0

0

3823

1071

0

Number of observations
Missing and not applicable values have been excluded

3539 0

4055 0 0

0

55

0

1144

963 0 0

Number of observations
Missing and not applicable values have been excluded

393

0

1873

1873

0 0 0

364

329

59 0

0

Number of observations
Missing and not applicable values have been excluded

154

154

0

0

67 0 0 0 0

0

174

95 0

84

Number of observations
Missing and not applicable values have been excluded

0

16

322 0

266 0 0

65 0

0 0 0 0 0 0 0

Number of observations
Missing and not applicable values have been excluded

0

231

171 0

68

221

0

40

120

120

0 0

Number of observations
Missing and not applicable values have been excluded

0 0 0

0

2976 0

2731

1561 0

1303 0 0

428

3519

4232

Number of observations
Missing and not applicable values have been excluded

437

4261

411

274

3015

3109

120

3150

4407

4055

4407

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded Weighted by HWEIGHT

43

43

43

0

2

4640 1962.77689 1302.58536

73.25

56187.34 6111.15588 5417.95825

1

1

1

0

0 17

5 0.68747861 0.80219147 94 51.9589068 17.6051635

18 1 1 5

88 46.5310971 14.6192978 2 1.29194641 0.4546578

14 2.18963502 1.24988559 5 5 0

0

6 1.12478786 0.96027519

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

0 1

9

5.6161524 2.58914012

98 1.53040655 4.78447228

1

44 1.33086246 2.15063795

1

12 2.26363113 2.19867808

1

11 1.97794566 2.10514513

1

6 1.98992641 1.57505018

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

1

6 1.73320447 1.29831179

-1

9330 2908.06364 3124.30747

-1

9330 2058.59645

2817.083

-1

990 297.105941 305.109696

-1

990 244.936402 326.019893

-1

2 0.65960663 1.38243027

-1

2 0.21987757 1.39495649

1

3 2.06736123 0.85650857

1

5 2.38077259 1.02626701

1

5 2.15188427 0.62359304

1

4 1.89980586 1.02322918

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

0

8 0.39453645 0.80021925

0 0

17 7.51242966 5.15216443 2 0.18693662 0.46779574

0

2 0.16472544 0.41982994

11

54 31.1885603 15.9210845

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

11

54 32.5630027 14.8545942

1

8 3.38060302 2.87560576

1

8 4.78663824 3.03682104

4

52 49.6057489 8.19638226

4

52 46.2406769 12.6703202

4

52 34.6891993 18.5915052

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

4

52 44.5232891 13.5328434

4

52 26.8000763 18.4401111

4

52 28.2928786 17.3665151

0

80 25.5493996 22.3610819

0

80

13.329637 17.5722981

170

925400 55736.3394 40278.2934 See PGWAGE.

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

310

37070 6750.85012 5233.91633

1000

180000 33050.0407 32983.9764

400

600000 55496.2874 75217.4599

-197678.29

373000

1835.0734 11755.5829

9.72999951 14823.9404 3296.33191

1820.8772

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

3

473027 11923.5503 20297.5654

310

37070 6750.85012 5233.91633

192

50400 7131.49871 6387.31568

553.68

91440 18070.8911 9776.69598

420

91440

16182.037 10871.9354 See PSOCRET.

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

660

38400 11621.0863 5452.74224 See PSOCRET.

120

19800 1582.71628 1719.62407

120

19800 1582.71628 1719.62407

171.63

60972 6994.78572 8522.32221

171.63

30000 5100.66401 4770.30991

279

60972 12496.1404

14261.773

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

150

14400 4010.87339 2625.84299

150

14400 4010.87339 2625.84299

660

24684 7602.73912 4986.66779

240

22800 6660.35186 4543.86996

240

22800 5200.76403 3853.08977

693.6

19200 7640.47856 4158.26678

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

600

18480 6240.84691 4949.28852

40

18891 2579.24537 2755.99408

40

11400 1635.36546 1301.93499

500

16191 6174.33934 3311.30719

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

144

90000 7414.43292 10449.9692

144

90000 7634.30128 11313.3208 See PPRVPEN.

336

38400 6025.14095 6789.14363

240

126624 21612.6765 18372.4614 See PPUBPEN.

100

36000 7341.16536 9052.65141

240

49500 8638.44833 7899.96109

240

49500 8638.44833 7899.96109

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

420

883900 47153.6342 34228.2197

0.30769231 459.807692

23.632846 19.1000121

170

229200 23618.7632 18095.8027

0.42840821 369.230769 17.3629383 17.6116121

400

600000 52716.2484 71224.0745

480

925400

60544.237 47376.2758

-50083.29

926400 47230.5596 50512.4994

Minimum

Maximum

Mean

Standard Deviation

Original variable descriptives
(For income and expenditure variables calculated from more than 1 original variable) (Please note that most original income variables are at the individual level)

Missing and not applicable values have been excluded

144

126624 15377.5427 17021.6273

-50083.29

926400 48733.8274 49595.1743

40

23760 4738.07444 4608.85285

150

50400 6252.88439 5003.77183

120

95952 11466.2411 11308.3746

90

95952 11680.1243 11178.0231

240

49500 8638.44833 7899.96109

90

95952 11868.6939 11182.1078

-48883.29

926400 54364.7785 45997.0506

310

37070 6750.85012 5233.91633

-94028.29

433965

39553.281 27275.0543

Variable Present Name Variable label in file PERSON LEVEL VARIABLES File information Unique country/year id COUNTRY number YES 43 Germany 1989 Unique household unit CASENUM number YES 1 head 2 wife or steady partner 3 oldest other adult 4 2nd oldest oth adlt 5 3rd oldest oth adlt 31 4th oldest oth adlt 32 5th oldest oth adlt 33 6th oldest oth adlt PPNUM Person number YES 34 7th oldest oth adlt

Value labels

Source

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments

LIS code LIS code

COUNTRY = 43. See variables description. (original variable: hhnrakt = household number - aktuelle Haushaltsnummer)

No missing values. No missing values.

Person weight Person specific PSLOT1 person information Person specific PSLOT2 person information Demographic variables

PWEIGHT

YES NO NO

LIS code See variables definition. Original individual level weight data (weights for each wave and every PWEIGHT = gphrf , person) where phrf.gphrf = weight 1990 (Hochrechnungsfaktor 1990).

No missing values.

Note that if there is a married couple and the head is female, the head is switched with the spouse, so that the head is male. There was 1 person with a zero weight; LIS dropped the corresponding household from the sample.

No missing values.

PAGE

Age

YES 1 male 2 female

PSEX

Sex

YES

Original individual level roster data (total roster for wave 7 persons only) Original individual level roster data (total roster for wave 7 persons only)

PAGE = 1990 - ggeburt, where gpbrutto.ggeburt = year of birth (Geburtsjahr) . PSEX = gsex , where gpbrutto.gsex = sex (Geschlecht) . PMART = 1 if gfamstd =3, PMART = 2 if gfamstd =1, 2 or 6, PMART = 3 if gfamstd =4, PMART = 4 if gfamstd =5, PMART = 5 if gfamstd =3 & gp10201 =1 & gp10202 =1, where gpgen.gfamstd = marital status (Familienstand) , gp.gp10201 = having a steady partner (derzeit feste Partnerschaft) , gp.gp10202 = living together with partner? (wohnt Partner(in) im Haushalt?) .

No missing values.

In four cases where the age was missing, the generated variable d1110190 was used.

No missing values.

In two cases where sex was miising, LIS imputed it. 15 and 16 year olds are considered children in original survey and were not asked their marital status; LIS imputed them as never married. In one case, a missing value was imputed as single (based on info from other variables). The original variable gfamstd has a different label for "married" (code 1), "married, but living apart" (code 2) and for "spouse in native country" (code 6); LIS lumped them all together into married.

PMART

Marital status

YES

PREL

Relationship

YES

1 never married 2 married (incl separated) 3 divorced 4 widowed 5 living together with steady partner 1 head of household 2 usband/wife 3 partner 4 child 5 foster-child 6 child-in-law 7 parent 8 parent-in-law 9 sibling (in-law) 10 grandchild 11 other related 12 other non-related

Original individual level adult data (all interviewed individuals) and generated indiviudal level adult data (all interviewed individuals)

No missing values.

PETHNAT PIMMIGR

Ethnicity / Nationality Immigration Status

YES NO

See Basic Desriptives for details.

Original individual level roster data (total roster for wave 7 persons only) Original individual level roster data (total roster for wave 7 persons only)

PREL = gstell + 1, where gpbrutto.gstell = relation to head of household (Stellung zum Haushaltsvorstand) . PETHNAT = gpnat , where gpbrutto.gpnat = nationality (Staatsangehoerigkeit) .

No missing values.

In three cases relationship was missing and LIS imputed it.

No missing values. Information on country of birth started to be collected only in 2000.were only 15 and 16 year olds are considered children in original survey and asked whether they are still in general education (in which case they were coded as "still in education " by LIS). Please note that original variable gpsbila (school diplom for foreigners) was only used if the person stated he/she had attained the compulsory school level without diploma (in which case they were coded PEDUC=11) or compulsory school with diploma (PEDUC=1); the information on foreign persons having a higher level than compulsory was not used because of too little detail (this could mean anything from less than secondary school diploma to post-graduate degree), and those persons were thus coded as PEDUC=10 (other diploma) if no other info was available for them. The German degrees are briefly overviewed below: - Hauptschule: starting at 5th or 7th and ending with 9th or 10th grade, they give a general education as basic for a practical vocational training and usually prepare for the visit to the vocational school. - Realschule: grades 5-10 or alternatively 7-10 from a non-terminal general education school, which require 4 years of primary school (Grundschule) or 6 from the lower secondary school (Volksschule) for entrance; schoooling lasts 4 to 6 years; the diploma granted (Realschulabschluß) offers an advanced (but non-academic) education for job careers of all sorts; the diploma is the requirement for olds are considered children schools (Fachoberschulen) ,not 15 and 16 year entrance to higher technical in original survey and were and asked this question. - Lehre: training (Ausbildung) in firm that trains (Lehrbetrieb) while concurrently attending a part-time vocational school (Berufsschule) ; diploma: skilled blue-collar worker (industry), skilled white-collar worker (e.g. industrial manager), journeyman (trade); in exeptions the trainee can be released from compulsory school attandance. - Berufsfachschulen: trade schools are schools with a full week schedule and with at least a one-year school period, which can usually be attended voluntarily after completing of full-time compulsory school attandance for vocational training (Berufsvorbereitung) , or can also be visited for full training without any prior practical training. Training colleges are different from technical colleges. - Fachschule: specialized technical schools are attended after an already aquired vocational training and practical professional experience, partly also after many years of practical work experience, or with proof of a subjectspecific talent and connect a further specialied education in the profession; the length of the school program lasts with full-time classes between six month and three years; these include: all master schools (Meisterschulen) , all

PEDUC

Educational level

YES

1 secondary general education (Hauptschule) 2 secondary general education , 1st stage (Realschule) 3 secondary general education , 2nd stage (Abitur) 4 academy (Fachoberschule) 5 technical college (Fachhochschule) 6 university (Universitaet) 7 foreign university (Hochschule im Ausland) 8 technical school GDR (Ingenieurfachschule Ost) 9 university GDR (Hochschule Ost) 10 other diploma 11 left school without diplom 12 still in education

Generated individual level data (all adults) and original children data (all children 0-16)

PEDUC = gpsbil (recoded) if gpbbil02 <0, PEDUC = gpsbila (recoded) if gpsbil =5 & gpbbil02 <0 & gpsbila =1 or 2, PEDUC = gpbbil02 (recoded) if gpbbil02 >0, PEDUC = 12 if gk0302 >0, where gpgen.gpsbil = school leaving degree (Schulabschluss) [5: other diploma], gpgen.gpsbila = school diplom for foreigners (Schulabschluss Auslaender) [1: compulsory school without diploma, 2: compulsory school with diploma], gpgen.gpbbil02 = higher education (Hochschulabschluss) [positive values if attained higher education], Missing values = sysmis. gkind.gk0302 = in general education (allgemeine Schule) [positive values if in Not applicable (children not general education]. still in education) = -1.

PTOCC

Occupational training

YES

1 apprenticeship (Lehre) 2 specialized vocational school / trade school / commercial school (Berufsfachschule) 4 vocational technical school (Fachschule) 5 civil servants training (Beamtenausbildung) 6 other vocational training

Generated individual level data (all adults)

Missing values and not applicable (children or no PTOCC = gpbbil01 , occupational training) = where gpgen.gpbbil01 = vocational degree received (berufliche Bildungsabschluss) . sysmis.

PLFS

Labor force status

YES

1 employed, full-time 2 employed, part-time 3 paid apprenticeship, trainee 4 compulsory military or civil service 5 unemployed 6 student 7 retired 8 other not working 11 unskilled worker 12 semi-skilled worker 13 skilled worker 14 worker, foreman 15 mastercraftsman 21 indepent farmer 22 selfemployed, free profession 23 selfemployed, other profession 24 unpaid family worker 31 apprentice, trainee 41 employee, foreman 42 employee, unskilled, no certificate 43 employee, unskilled, with certificate 44 employee, skilled 45 professionals 46 managers 51 civil servant, lower level 52 civil servant, clerk 53 civil servant, higer level 54 senior government officials

Original individual level data (all interviewed individuals)

PLFS = 1 if gp12 =1, PLFS = 2 if gp12 =2 or 4, PLFS = 3 if gp12 =5, PLFS = 4 if gp12 =6, else PLFS = 5 if gp09 =1, else PLFS = 6 if gp10 =1, else PLFS = 7 if gp14 =4, else PLFS = 8 if gp12 =7, where gp.gp12 = current economic activity status (Erwerbstatus) , gp.gp09 = are you registered as unemployed? (sind Sie zur Zeit beim Arbeitsamt arbeitslos gemeldet?) [1:yes], gp.gp10 = are you in education? (sind Sie derzeit in Ausbildung?) [1:yes], gp.gp14 = would it be easy or hard to find a job? (wäre es leicht oder schweirig eine Missing values and not Stelle zu finden?) [3:does not apply, pensioner]. applicable (child) = sysmis.

15 and 16 year olds are considered children in original survey and were not asked this question. Part-time employment includes: part-time employment and marginal, irregular part-time.

PACTIV

Activity code (occupation)

YES

Original individual level data (all interviewed individuals)

PACTIV = 10 + gp3701 if gp3701 > 0, PACTIV = 21 if gp3702=1 , PACTIV = 22 if gp3702=2 , PACTIV = 23 if gp3702=3 or 4, PACTIV = 24 if gp3702=5 , PACTIV = 31 if gp3703 >0, PACTIV = 40 + gp3704 if gp3704 >0, PACTIV = 50 + gp3705 if gp3705 >0, where gp.gp3701 = current position in job - workers (derzeitige Stellung in Beruf Arbeiter) , gp.gp3702 = current position in job - self-employed (derzeitige Stellung in Beruf Selbstaendige) , gp.gp3703 = current position in job - apprentice (derzeitige Stellung in Beruf Auszubildende) , gp.gp3704 = current position in job - employee (derzeitige Stellung in Beruf Angestellte) , gp.gp3705 = current position in job - civil servant (derzeitige Stellung in Beruf Beamte).

Missing values and not applicable (adult not in employment or conscripts) = sysmis. Not applicable (child) = 0. Missing values and not applicable (child) = sysmis. Not applicable (not in employment or conscript) = 1. Missing values and not applicable (child) = sysmis. Not applicable (not in employment or conscript) = 1. Missing values and not applicable (child) = sysmis. Not applicable (not in employment or conscript) = 1.

POCC

Occupation

YES

4-digit ISCO-88 standard. See Basic Desriptives for details.

Generated individual level data (all adults)

POCC = is8890 , where gpgen.is8890 = occupation, 4-digit ISCO88 (Beruf) .

PIND

Industry

YES

3-digit NACE-standard. See Basic Desriptives for details.

Generated individual level data (all adults)

PIND = nace90 *10, where gpgen.nace90 = industry, 2-digit NACE/ISIC (Branche) .

15 and 16 year olds are considered children in original survey and were not asked this question. 15 and 16 year olds are considered children in original survey and were not asked this question. Some non-ISCO codes were recoded into existing code in next higher level (2470 into 2400 and 7139 into 7130); other non-ISCO codes with unclear descriptions like apprentice, unspecified, etc. were recodded into missing (24 cases). The original variable was given in 2-digit accuracy, reshaped into 3-digit. 15 and 16 year olds are considered children in original survey and were not asked this question. Some non-NACE codes with unclear descriptions were recoded into missing (36 cases).

Type (status) of PTYPEWK worker

YES

1 public sector 2 private sector

Generated individual level data (all adults)

PHOURS

Hours worked per week

YES

Generated individual level data (all adults)

PTYPEWK = oeffd90 , where gpgen.oeffd90 = in civil service (im öffentlichen Dienst) . PHOURS = gtatzeit if gtatzeit >0, else PHOURS = gvebzeit , where gpgen.gtatzeit = actual average hours per week (Wochenstunden tatsächlich) , gpgen.gvebzeit = contractual hours per week (Wochenstunden vereinbart) . PWEEKFT = sum(spelft) over activities per individual, where spelft = (end - begin + 1)*4.3333 if spelltyp =1, and where artkalen.end = month in which activity ended (Endmonat des Ereignisses) , artkalen.begin = month in which activity begun (Anfangsmonat des Ereignisses) [bottom coded at January 1989], artkalen.spelltyp = type of activity (Art des Ereignisses) [1: full-time employment]. PWEEKPT = sum(spelpt) over activities per individual, where spelpt = (end - begin + 1)*4.3333 if spelltyp =3, and where artkalen.end = month in which activity ended (Endmonat des Ereignisses) , artkalen.begin = month in which activity begun (Anfangsmonat des Ereignisses) [bottom coded at January 1989], artkalen.spelltyp = type of activity (Art des Ereignisses) [3: part-time employment]. PWEEKUP = sum(spelup) over activities per individual, where spelup = (end - begin + 1)*4.3333 if spelltyp =5, and where artkalen.end = month in which activity ended (Endmonat des Ereignisses) , artkalen.begin = month in which activity begun (Anfangsmonat des Ereignisses) [bottom coded at January 1989], artkalen.spelltyp = type of activity (Art des Ereignisses) [5: unemployment].

15 and 16 year olds are considered children in original survey and were not asked this question.

Missing values = sysmis. Not applicable (child, not working or conscript) = 0.

15 and 16 year olds are considered children in original survey and were not asked this question.

PWEEKFT

Weeks worked full time

YES

Original activity level data (calendar of activities, one record per activity)

Missing values and not applicable (child or never worked full-time in 1989) = sysmis.

Weeks in full-time employment during 1989, including State employment programs (ABM).

Weeks worked part PWEEKPT time

YES

Original activity level data (calendar of activities, one record per activity)

Missing values and not applicable (child or never worked part-time in 1989) = sysmis.

Weeks in part-time employment during 1989.

PWEEKUP Weeks unemployed PDISABL Disability status

YES NO

Original activity level data (calendar of activities, one record per activity)

Missing values and not applicable (child or never unemployed in 1989) = sysmis.

Income variables PGWAGE = ijob190 + ijob290 + i13ly90 + i14ly90 + ixmas90 + iholy90 + igray90 + iothy90 , where gpequiv.ijob190 = gross wage/salary (first job), annual amount imputed from gpkal.gp2a02-03 (brutto Lohn als Arbeitnehmer, imputierter Jahresbetrag) , gpequiv.ijob290 = gross wage/salary (second job), annual amount imputed from gpkal.gp2c02-03 (brutto Lohn als Arbeitnehmer, imputierter Jahresbetrag), gpequiv.i13ly90 = gross 13th month's salary, annual amount imputed from gp.gp7201-02 (13. Monatsgehalt, imputierter Jahresbetrag), gpequiv.i14ly90 = gross 14th month's salary, annual amount imputed from gp.gp7203-04 (14. Monatsgehalt, imputierter Jahresbetrag), gpequiv.ixmas90 = gross Chistmas bonus, annual amount imputed from gp.gp720506 (Weihnachtsgeld, imputierter Jahresbetrag), gpequiv.iholy90 = gross holiday pay, annual amount imputed from gp.gp7207-08 (Urlaubsgeld, imputierter Jahresbetrag) , gpequiv.igray90 = gross profit sharing bonus, annual amount imputed from No missing values (imputed). gp.gp7209-10 (Gewinnbeteiligung, imputierter Jahresbetrag) , Not applicable (child or no gpequiv.iothy90 = gross other extra payments, annual amount imputed from such income received) = 0.

Weeks in registered unemployment during 1989. Unlike for other GSOEP waves, this information was not available in Wave G (7). All income variables have been imputed. The imputation concerned both the monthly amount received as well as the number of months and was carried out either at the individual or household level according to the type of income; the resulting imputed variables are aggregate annual values.

PGWAGE

Gross wage/salary

YES

Imputed individual level data (Cross National Equivalent File)

gross

Variables ijob190 and ijob290 include employees' and trainees' wages (including every received piecework-, production line premium and extra bonus, productivity-, protection- and troublesomeness bonuses, installation bonuses, bonuses for extra work/overtime and holidays, night- and shift work bonuses, as well as other fixed or individually agreed reimbursements, such as family or child allowances, domicile cost bonuses, food money, travelling expenses reimbursements by the employer; not included are all single extra bonuses, such as vacation money, 13th / 14th monthly salary, one-time bonuses, special anniversary payments and all employer´s contributions for voluntary health insurance), early retirement from employer (Vorruhestand aus Arbeitgeber) , part-time allowance for elder workers (Altersteilzeit) , wages for sick time (Lohnfortzahlung) . Gross soldier's pay (Wehrsold) was available separately only as of Wave 13 onwards.

PNWAGE

Net wage/salary

NO Derived from LIS individual level data Missing values = sysmis. Not applicable (child or no such income received) = 0.

Variable only present when PGWAGE is not available in original file.

PHRWAGE Hourly wage rate Mandatory employer PMERC contribution Personal selfPSELF employment income PYTAX PWTAX PMEEC Income taxes Property/wealth taxes Mandatory employee contribution

YES NO NO NO NO NO

PHOURS = PGWAGE/(PHOURS*52).

gross Variable not available at the individual level in original survey (imputed only at the household level). Variable introduced in Wave V. Variable not available at the individual level in original survey (simulated only at the household level). Variable not available in original survey. Variable not available at the individual level in original survey (simulated only at the household level).

Social retirement Person basic old-age PSOCRET1 pension Person supplementary old-age benefit Person early retirement benefit Person survivors pension Person other social retirement income

PSOCRET

YES NO

Imputed individual level data (Cross National Equivalent File)

PSOCRET = igrv190 + ismp190 + iagr190 + igrv290 + ismp290 + iagr290 , and where gpequiv.igrv190 = old-age/invalidity pensions for blue/white collars, annual amount imputed from gpkal.gp2d02 and gp.gp7401 (Alters/Invaliditätsrentenversicherung der Arbeiter und Angestellten, imputierter Jahresbetrag) , gpequiv.ismp190 = old-age/invalidity pensions for miners, annual amount imputed from gpkal.gp2d02 and gp.gp7402 (Alters-/Invaliditätsrente der Knappschaft, imputierter Jahresbetrag) , gpequiv.iagr190 = old-age/invalidity assistance for farmers, annual amount imputed from gpkal.gp2d02 and gp.gp7405 (Alters-/Invaliditätsrente der Altershilfe der Landwirte, imputierter Jahresbetrag) , gpequiv.igrv290 = survivors' pensions for blue/white collars, annual amount imputed from gpkal.gp2e02 and gp.gp7410 (Witwen-/Witwer-/Waisen-rentenversicherung der Arbeiter und Angestellten, imputierter Jahresbetrag) , gpequiv.ismp290 = survivors' pensions for miners, annual amount imputed from gpkal.gp2e02 and gp.gp7411 (Witwen-/Witwer-/Waisenrente der Knappschaft, No missing values (imputed). imputierter Jahresbetrag) , Not applicable (child or no gpequiv.iagr290 = survivors' pensions for farmers, annual amount imputed from such income received) = 0.

gross

Original variables igrv190 , ismp190 and iagr190 contain both old-age and invalidity pensions; nevertheless, differetly than with later waves, it was impossible to separate them because there was no info on invalidity grade. Variable introduced in Wave V.

PSOCRET2 PSOCRET3 PSOCRET4 PSOCRETR

NO NO NO NO PUNEMP = iunby90 + isuby90 , where gpequiv.iunby90 = unemployment insurance benefits, annual amount imputed from gpkal.gp2f02-03 (Arbeitslosengeld , imputierter Jahresbetrag), gpequiv.isuby90 = living assitance by training/retraining, annual amount imputed from gpkal.gp2h02-03 (Unterhaltungsgeld bei Fortbildung/Umschulung , imputierter Jahresbetrag) .

Variable introduced in Wave V. Variable introduced in Wave V. Variable introduced in Wave V. Variable introduced in Wave V.

PUNEMP

Unemployment compensation

YES

Imputed individual level data (Cross National Equivalent File)

No missing values (imputed). Not applicable (child or no such income received) = 0.

Including the unemployment insurance benefits and living assitance by training/retraining, both from the Employment Office. Transition pay/other unemployment allowance from the Employment Offiice (Übergangsgeld, sonstiges) were available separately only as of Wave 13 onwards.

Person unemployment PUNEMP1 insurance Person training or PUNEMP2 retraining allowance Person placement or PUNEMP3 resettlement benefits Person other unemployment PUNEMPR benefits

NO NO NO

Variable introduced in Wave V. Variable introduced in Wave V. Variable introduced in Wave V.

NO PPRVPEN = icom190 + icom290 , where gpequiv.icom190 = old-age/invalidity pensions from occupational insurance, annual amount imputed from gpkal.gp2d02 and gp.gp7408 (betriebliche Alters/Invaliditätsversorgung, imputierter Jahresbetrag), gpequiv.icom290 = survivors' pensions from occupational pinsurance, annual No missing values (imputed). amount imputed from gpkal.gp2e02 and gp.gp7417 (Witwen-/Witwer-/Waisenrente Not applicable (child or no der betriebliche Alters-/Invaliditätsversorgung, imputierter Jahresbetrag) . such income received) = 0.

Variable introduced in Wave V.

Private pensions Person occupational PPRVPEN1 pensions Person opting-out PPRVPEN2 pensions Person other private PPRVPENR pension income

PPRVPEN

YES NO NO NO

Imputed individual level data (Cross National Equivalent File)

gross Variable introduced in Wave V. Variable introduced in Wave V. Variable introduced in Wave V.

PPUBPEN

Public sector pensions

YES

Imputed individual level data (Cross National Equivalent File)

PPUBPEN = iciv190 + ivbl190 + iciv290 + ivbl290 , and where gpequiv.iciv190 = old-age/invalidity pensions for civil servants, annual amount imputed from gpkal.gp2d02 and gp.gp7403 (Alters-/Invaliditätsrente der Beamtenversorgung, imputierter Jahresbetrag), gpequiv.ivbl190 = supplementary pensions for civil servants, annual amount imputed from gpkal.gp2d02 and gp.gp7407 (Zusatzversorgung öffentlichen Dienstes, imputierter Jahresbetrag) , gpequiv.iciv290 = survivors' pensions for civil servants, annual amount imputed from gpkal.gp2e02 and gp.gp7412 (Witwen-/Witwer-/Waisenrente der Beamtenversorgung, imputierter Jahresbetrag) , gpequiv.ivbl290 = survivors' supplementary pensions for civil servants, annual No missing values (imputed). amount imputed from gpkal.gp2e02 and gp.gp7416 (Witwen-/Witwer-/Waisenrente Not applicable (child or no der Zusatzversorgung öffentlichen Dienstes, imputierter Jahresbetrag ). such income received) = 0.

gross

Variable Name Variable definition CHILD LEVEL VARIABLES File information COUNTRY Unique Country Id

Present in file

Value labels

Source

YES

43 Germany 1989

LIS code

CASENUM Unique Unit Number

YES 6 youngest child 7 2nd youngest child 8 3rd youngest child 61 4th youngest child 62 5th youngest child 63 6th youngest child

LIS code

PPNUM

Person Number

YES

LIS code Original individual level weight data (weights for each wave and every person)

CWEIGHT Child weight Demographic variables

YES

CAGE

Age of child

YES 1 male 2 female 4 child 5 foster-child 10 grandchild 11 other related 12 other non-related

Original individual level roster data (total roster for wave 7 persons only) Original individual level roster data (total roster for wave 7 persons only)

CSEX

Sex of child

YES

CREL

Relationship of child

YES

Original individual level roster data (total roster for wave 7 persons only)

Variable construction

Missing values / not applicable

Net / gross (income variables)

Comments

COUNTRY = 43. See variables description. (original variable: hhnrakt = household number - aktuelle Haushaltsnummer)

No missing values.

No missing values.

See variables definition. PWEIGHT = gphrf , where phrf.gphrf = weight 1990 (Hochrechnungsfaktor 1990). CAGE = 1990 - ggeburt, where gpbrutto.ggeburt = year of birth (Geburtsjahr) .

No missing values.

No missing values.

No missing values.

CSEX = gsex , where gpbrutto.gsex = sex (Geschlecht) . No missing values. CREL = gstell + 1, where gpbrutto.gstell = relation to head of household (Stellung zum No missing values. Haushaltsvorstand) .


				
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