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...

An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...

We investigate the finite sample properties of a large number of estimators for the average treatment effect on the treated that are suitable when adjustment for observable covariates is required, like inverse probability weighting, kernel and other variants of matching, as well as different...

Utilizing data for comparable BSc graduates in economics who have studied in different universities that had set the same entry standards, we compare job seekers' employment prospects when they search by themselves for jobs by submitting CVs to the same firms. The outcomes suggest that graduates...

In 2013, Tanzania introduced "Big Results Now in Education", a low-stakes accountability program that published both nationwide and within-district school rankings. Using data from the universe of school performance from 2011-2016, we identify the impacts of the reform using a...

This article presents and explores a rich new data source to analyse the determinants of pay and job rank amongst academic Economists in the UK. Characteristics associated with individual productivity and workplace features are found to be important determinants of the relative wage and...