This article examines the relationship between two alternative approaches, instrumental variables and control function procedures, for estimating the impact of endogenous treatment effects. Although it is well known that the two approaches generate comparable estimates, the relationship between...

We estimate the union premium for young men over a period of declining unionization (1980-87) through a procedure which identifies the alternative sources of the endogeneity of union status. While we estimate the average increase in wages resulting from union employment to be in excess of 20% we...

Despite equal pay decisions in 1969 and 1972, a gender wage differential of around 15 percent exists in 1990. This paper uses information on the number of years worked from the 1984 National Social Science Survey to provide an understanding of the role of intermittent labor-force participation...

This paper provides some simple methods of interpreting the coefficients in multinomial logit and ordered logit models. These methods are summarized in Propositions concerning the magnitudes, signs, and patterns of partial derivatives of the outcome probabilities with respect to the...

This paper presents a simple two step estimator for models with censored endogenous regressors and sample selection bias. The approach unifies the literature on censored endogenous regressors and sample selection bias and provides extensions. The procedure employs generalized residuals to adjust...

This paper addresses the estimation of a semiparametric sample selection index model where both the selection rule and the outcome variable are binary. Since the marginal effects are often of primary interest and are difficult to recover in a semiparametric setting, we focus on developing an...

This paper addresses the estimation of a semiparametric sample selection index model where both the selection rule and the outcome variable are binary. Since the marginal effects are often of primary interest and are difficult to recover in a semiparametric setting, we develop estimators for...