Frontmatter -- Preface -- Acknowledgments -- Contents -- Acronyms -- 1 Introduction -- 2 Linear static models -- 3 Dealing with heterogeneity and endogeneity: fixed effects, IV and GMM -- 4 Outliers, missing values and other data issues -- 5 Linear dynamic models -- 6 Models with limited...

Triangular systems with nonadditively separable unobserved heterogeneity provide a theoretically appealing framework for the modeling of complex structural relationships. However, they are not commonly used in practice due to the need for exogenous variables with large support for...

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...

Occupational shares of various ethnic groups have grew tremendously in regional U.S. labor markets from 1980 to 2000. Using U.S. Census data, we examine the extent to which this growth is attributed to network effects by studying the relationship between the occupational choice of recently...