This chapter reviews the microeconometrics literature on partial identification, focusing on
the developments of the last thirty years. The topics presented illustrate that the available …

Standard inference procedures for regression analysis make assumptions that are rarely
satisfied in practice. Adjustments must be made to insure the validity of statistical inference …

The second edition of a comprehensive state-of-the-art graduate level text on
microeconometric methods, substantially revised and updated. The second edition of this …

Panel data econometrics continues to be a hot topic in econometrics and has experienced a
lot of growth over the last two decades. Micro-and Macro-panels are increasing in …

By 1989 the Michigan Panel Study on Income Dynamics (PSID) had experienced
approximately 50 percent sample loss from cumulative attrition from its initial 1968 …

Sample data alone never suffice to draw conclusions about populations. Inference always
requires assumptions about the population and sampling process. Statistical theory has …

Recently a growing body of research has studied inference in settings where parameters of
interest are partially identified. In many cases the parameter is real‐valued and the …

I provide an overview of inverse probability weighted (IPW) M-estimators for cross section
and two-period panel data applications. Under an ignorability assumption, I show that …

This book is a full-scale exposition of Charles Manski's new methodology for analyzing
empirical questions in the social sciences. He recommends that researchers first ask what …

Missing data are a pervasive problem in data analysis. Three common methods for
addressing the problem are (a) complete-case analysis, where only units that are complete …