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We examine evidence on omitted-ability bias in estimates of the economic return to schooling, using proxies for …
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When a rate of return is regressed on a lagged stochastic regressor, such as a dividend yield, the regression disturbance is correlated with the regressor's innovation. The OLS estimator's finite-sample properties, derived here, can depart substantially from the standard regression setting....
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-variety statistical problems - skewness, kurtosis, and heteroscedasticity - can lead to an appreciable bias for some estimators or …
Persistent link: https://www.econbiz.de/10012471372
-ID) IV estimates using a single instrument are also biased, but the importance of weak-instrument bias in just-ID IV … to be reliable. We then show that an estimator that's unbiased given a population first-stage sign restriction has bias … shown to halve the median bias of conventional IV without reducing coverage. To the extent that sign-screening is already …
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Linear instrumental variable estimators, such as two-stage least squares (TSLS), are commonly interpreted as estimating positively weighted averages of causal effects, referred to as local average treatment effects (LATEs). We examine whether the LATE interpretation actually applies to the types...
Persistent link: https://www.econbiz.de/10012814484
NL2SOL is a modular program for solving the nonlinear least-squares problem that incorporates a number of novel features. It maintains a secant approximation S to the second-order part of the least-squares Hessian and adaptively decides when to use this approximation. We have found it very...
Persistent link: https://www.econbiz.de/10012478936