We study discrete panel data methods where unobserved heterogeneity is revealed in a first
step, in environments where population heterogeneity is not discrete. We focus on two‐step …

In recent years, a large variety of textbooks dealing with time-to-event analysis has been
published. Most of these books focus on the statistical analysis of observations in continuous …

We study workers who are employed by a large US retailer, work in many store locations,
and are paid based on performance. By means of a border-discontinuity analysis, we …

In this article I study how companies can use their personnel data and information from job
satisfaction surveys to predict employee quits. An important issue discussed at length in the …

Recent research has increased interest in the intersection of land tenure and gender roles in
African agriculture. While formalization of land ownership has been found to have important …

This article tests the validity of the conditional Markov assumption in a dynamic discrete-
choice model of welfare benefit receipt dynamics, using Norwegian administrative data …

The reduction in young adult homeownership rates in Britain in the 1990s was partly caused
by demographics and partly by a shift in the income distribution. Most of their relative income …

We study the identification and estimation of structural parameters in dynamic panel data
logit models where decisions are forward-looking and the joint distribution of unobserved …

This paper presents a new estimator for the mixed proportional hazard model that allows for
a nonparametric baseline hazard and time-varying regressors. In particular, this paper …

This study aims to examine event dependence and heterogeneity in the adoption of
precision farming (PF) technologies. The study uses farm-level data and a conditional frailty …