The construction of new housing plays a critical role in the economy,
yet it is understudied by researchers. Increases in housing starts rai
se construction employment, and recent home buyers often purchase othe
r consumer durables, leading through, the multiplier effect to increas
ed employment. Construction is especially important to the business cy
cle, because changes in residential construction tend to lead recessio
ns and recovery. Despite its importance, empirical research on housing
supply is surprisingly rare. This article presents a new empirical mo
del of housing supply that: reflects the land development process and
is consistent with the time-series characteristics of the data. The au
thors apply this model to the four U.S. Census regions and estimate re
gional housing start elasticities, which range between 0.9 and 3.9. Th
eir estimates also show a prolonged period of below-predicted construc
tion in the Northeast during the early 1990s that does not appear duri
ng the downturns in other regions. These results are consistent with t
he hypothesis that a severe negative shock to local asset values (and
thus bank capital), possibly combined with changes in banking regulati
on, led to a ''credit crunch'' that reduced new housing construction.