Forecasting Future Home Sales

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							  JULY 2000                                           Residential Sales                               PUBLICATION 1406
                         A Reprint from Tierra Grande, the Real Estate Center Journal




                                                                                             A rented house is an investment good,
                                                                                          but when the owner occupies it, the
                                                                                          house is both a consumer and invest-
                                                                                          ment good. The owner has a home, and
                                                                                          the house is an investment that can be
                                                                                          realized when the house is sold.
                                                                                             Two-thirds of U.S. households own
                                                                                          homes, and homeownership constitutes
                                                                                          about one-third of all household wealth.
                                                                                          Studies reveal that homebuyers consider
                                                                                          themselves both consumers and inves-
                                                                                          tors. A 1998 study reported 44 to 64
                                                                                          percent of homebuyers consider invest-
                                                                                          ment a major factor in their buying de-
                                                                                          cision. Less than 10 percent of buyers
                                                                                          said that investment was not an impor-
                                                                                          tant consideration.
                                                                                             These findings help explain why in-
                                                                                          creasing home prices can have a positive
                                                                                          effect on home sales activity. Rising
                                                                                          prices rekindle interest in purchasing
                                                                                          homes as investments because buyers
                                                                                          see an opportunity for profit. Rising

E
      very real estate professional wants      Higher disposable incomes (incomes         house prices increase sellers’ profits,
      to know what is going to happen        minus taxes) offer households more pur-      resulting in larger down payments for
      to sales volume in his or her area.    chasing power. More purchasing power         prospective trade-up buyers and helping
While the Real Estate Center has no          makes it possible for people to move to      sellers offset transaction costs.
crystal ball, researchers have developed     bigger, better houses or neighborhoods
an economic model that helps make sales      or even purchase a second home.              Model Limitations
volume forecasts.                                                                            Before using an economic model for
   Many factors — house prices, neigh-       Mortgage Rates                               forecasting a number of caveats should
borhoods, house characteristics, inter-         Higher mortgage rates have a negative     be considered. First, no matter how so-
est rates, down payment amount, agent        impact on Texas home sales. A 1 percent      phisticated a model, it is still a simpli-
marketing skills and availability of         increase in mortgage rates is expected to    fied version of the complex real world.
mortgage loans, among others — influ-        decrease home sales by 1.9 percent.          Many real world factors and variables
ence homebuyers and sellers. These fac-         From the standpoint of homebuyers,        are not included in a model because data
tors determine when and where homes          higher mortgage rates mean higher            is unavailable.
are sold. By observing the factors at        monthly payments and less affordability.        Second, as in real life, models are based
various stages, it is possible to weigh      Some buyers may decide not to buy or         on past experience. The future may not
their importance and to predict, for         may postpone buying until mortgage           behave like the past. Thus, economic
example, how changes in mortgage rates       rates fall. From the home builders’ stand-   models embody a number of assumptions.
or homebuyer income affect home sales.       point, higher interest rates increase con-      Finally, a forecasting model requires
   Researchers at the Real Estate Center     struction costs and home prices and,         forecasted variables. For the Real Estate
have constructed a model to estimate         therefore, reduce demand for new houses.     Center’s home sales model, inflation-
Texas single-family home sales (see Cen-                                                  adjusted Texas resident per capita in-
ter technical report 1368, What Factors      Homes as Investments                         come, home prices and mortgage rates
Determine the Volume of Home Sales             Texas homebuyers treat single-family       must first be determined.
in Texas?) The model shows that mort-        homes as investments, and there is a            A forecasting model should be only
gage rates, per capita disposable income     positive relationship between home sales     one source of information. Nothing can
and home prices, all adjusted for infla-     and home prices. A 1 percent increase in     replace judgement. For these reasons,
tion, are the most important determi-        home prices is expected to increase home     one approach to using a model for fore-
nants of Texas home sales volume.            sales by 0.9 percent.                        casting is to consider various “what if”
                                               Debate continues over whether a            scenarios. See the related article on the
Per Capita Personal Income                   house is a consumer or investment good.      following page for ways to use the
  Per capita personal income’s impor-        Consumer goods are consumed; invest-         Center’s model for forming expectations
tance as a determinant of home sales has     ment goods are purchased and held to         of Texas home sales.
been increasing in recent years. Cur-        produce a stream of income over time.
rently, a 1 percent increase in per capita   Gasoline is a consumer good, but a ve-       Dr. Anari is a research economist and Dr. Dotzour
income of Texas residents is expected to     hicle used as a taxi is an investment        is chief economist with the Real Estate Center
increase home sales by 2.4 percent.          good.                                        at Texas A&M University.
S
      tatistical housing mod-                                                                         holds down prices and incomes.
      els like the one described on                                                                   According to the model, this
      the previous page help iden-                                                                    scenario would result in about
tify factors that affect sales vol-                                                                   an 8 percent reduction in home
ume. The model indicates that                                                                         sales (167,500).
Texas home sales are stimulated                                                                     • Scenario 2. Suppose the
by rising personal income and                                                                         economy slows without higher
home prices and depressed by ris-                                                                     interest rates. Real interest
ing mortgage interest rates, all                                                                      rates hold steady while real per-
adjusted for inflation.                                                                               sonal income declines. Real
   Because the model not only                                                   By M.A. Anari         home prices rise, however, from
shows what factors are important,                                                                     the momentum of the previous
                                                                              and Jack C. Harris
but how much those factors have                                                                       year. Projected sales from this
influenced sales in past years, it                                                                    combination are 169,100,
also can project sales in future years.                                                               nearly 7 percent lower than in
However, lest the model appear to                                                                     1999. This indicates that sales
be a crystal ball, it should be noted                                                                 could slow even with no in-
that the accuracy of projected                                                                        crease in interest rates.
sales depends on how accurately the variables (interest rates,         • Scenario 3. The Texas economy has been growing
personal income and home prices) are projected.                          slightly faster than the nation. However, that rate has
   The best way to use a model like this is to construct a series        been slowing for the past two years. Assume the trend
of “what if” projections based on possible future conditions.            continues and leads to a significant decline in real
For example, what if interest rates continue to rise during              personal income. Combined with slight increases in real
the year? The model indicates probable consequences such                 interest rates and home prices, this scenario produces the
an occurrence would have on home sales, as is illustrated by             least optimistic forecast for home sales. The resulting
the four “what if” scenarios and resulting projections shown             160,000 sales would represent almost a 12 percent drop
here. For perspective, note that home sales through reporting            from 1999.
Texas MLSs totaled 181,300 in 1999.                                    • Scenario 4. With continuing recovery in oil markets and
   All variables used in the model are “real” numbers, mean-             growing demand for Texas products in the rebounding
ing they have been adjusted for inflation. In the case of                Pacific Rim economies, the state’s slowing economy could
interest rates, the real rate is the return achieved by the lender       reverse. Suppose this turnaround raises real personal in-
after the effects of inflation are subtracted. A nominal interest        come and home prices. Interest rates fall as the national
rate of 8 percent would yield a real return of 6 percent if              economy slows. This favorable combination of trends
inflation was running 2 percent per year. According to the               yields another record-breaking year, with sales exceeding
model, a rise in nominal rates purely because of a rise in               198,000, a 9 percent rise from 1999.
inflation would have no effect on sales volume. Therefore,              With the Texas housing market running at such an unprec-
in the following discussion, a rise in the interest rate is          edented level in recent years, it may be too much to expect
assumed to be caused by changes in the supply of available           it not to slow somewhat. As these projections show, any
funds relative to loan demand.                                       slowing in economic growth will lead to lower sales volumes.
  • Scenario 1. Suppose the demand for mortgage loans con-           However, should the economy find a way to pick up speed,
    tinues to expand but growth of the money supply slows            and interest rates reverse their recent climb, sales could go
    as a result of the Federal Reserve trying to slow economic       even higher than recent record levels.
    growth. The real mortgage interest rate rises to 7 percent
                                                                     Dr. Anari and Dr. Harris are research economists with the Real Estate
    (as defined in the model, the real rate had a value of 5.6
                                                                     Center at Texas A&M University.
    percent in 1998). A more slowly growing economy also
                                               LOWRY MAYS COLLEGE & GRADUATE SCHOOL OF BUSINESS
                                   Texas A&M University                                                  http://recenter.tamu.edu
                                        2115 TAMU                                                             979-845-2031
                              College Station, TX 77843-2115                                            800-244-2144 orders only


Director, Dr. R. Malcolm Richards; Associate Director, Gary Maler; Chief Economist, Dr. Mark G. Dotzour; Senior Editor, David S. Jones; Associate Editor,
Nancy McQuistion; Associate Editor, Wendell E. Fuqua; Assistant Editor, Kammy Baumann; Editorial Assistant, Brandi Ballard; Art Director, Robert P. Beals
II; Circulation Manager, Mark W. Baumann; Typography, Real Estate Center; Lithography, Wetmore & Company, Houston.

                                                                   Advisory Committee
  Gloria Van Zandt, Arlington, chairman; Joseph A. Adame, Corpus Christi, vice chairman; Celia Goode-Haddock, College Station; Carlos Madrid, Jr., San
   Antonio; Catherine Miller, Fort Worth; Angela S. Myres, Kingwood; Nick Nicholas, Dallas; Jerry L. Schaffner, Lubbock; Douglas A. Schwartz, El Paso;
                                   and Jay C. Brummett, Austin, ex-officio representing the Texas Real Estate Commission.

Tierra Grande (ISSN 1070-0234), formerly Real Estate Center Journal, is published quarterly by the Real Estate Center at Texas A&M University, College Station,
            Texas 77843-2115. Subscriptions are free to Texas real estate licensees. Other subscribers, $30 per year, including 12 issues of Trends.

   Views expressed are those of the authors and do not imply endorsement by the Real Estate Center, the Lowry Mays College & Graduate School of Business
                                                                 or Texas A&M University.

						
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