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Please review our privacy policy. North Holland; The same fertility pattern holds for teenage childbearing as well. The OLS estimates presented in the previous section potentially suffer from both omitted variable bias and measurement error. In the IV regressions that follow, I use all three sets of laws in poverty regressions that instrument for early marriage and high school completion.

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First, it will be important to allow for different effects by time period.

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Since the marriage, schooling, and labor laws affecting youth are so highly correlated, it could be important to account for all three simultaneously when estimating instrumental variable regression models. For another example, consider women marrying at age Bargaining in the Shadow of the Law: There are at least two reasons why the estimated effect of early teenage marriage might not be comparable to the effects estimated for teenage childbearing in the literature. In comparison, the ordinary least squares OLS estimates are very sensitive to how the data is aggregated, particularly for the early marriage variable. If so, this is an indication that restrictive laws impose costs on those wishing to marry before the law in their state of residence allows.

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