This study provides the first set of estimates of the returns to schooling over an extended period in Russia and Ukraine (1985-2002). There has been an increase in returns to schooling in both countries but the increase is much bigger in Russia than in Ukraine. The intriguing question is why...

Utilizing a new survey of employers, this paper examines how and why establishments differ in their willingness to permit an older full-time white-collar worker to take phased retirement. Phased retirement means that an older worker remains with his or her employer while gradually reducing work...

This paper examines the relative wealth position and the portfolio choices of immigrants in Germany. The empirical findings reveal significant differences in overall wealth and various wealth components between German natives and immigrants. Differences in real estate constitute the major part...

Traditional instrumental variable estimators do not generally estimate effects for the treated population but for the unobserved population of compliers. They do identify effects for the treated when there is one-sided perfect non-compliance. However, this property is lost when covariates are...

A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...

We study semiparametric two-step estimators which have the same structure as parametric doubly robust estimators in their second step, but retain a fully nonparametric specification in the first step. Such estimators exist in many economic applications, including a wide range of missing data and...

This paper studies peer effects on student achievement among first graders randomly assigned to classrooms in Tennessee’s Project STAR. The analysis uses previously unexploited pre-assignment achievement measures available for 60 percent of students. Data are not missing at random, making...