Abstract
Comparing static estimates of behavioral responses with dynamic estimates and using different time spans for the latter reveals striking differences in estimated effects of changing family composition, income, and wife's work. These are interpreted to be the result of several things: (1) bias in the cross-section estimates from unmeasured and perhaps unmeasurable variables that do not affect the dynamic change data; (2) lags in adjustment, with static data being closer to long-run effects; and (3) different relative importance of errors in measuring the explanatory variables. The effects of changing family composition appear to be less affected by any of these problems than are the estimated effects of changes in income or wife's work.
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