This chapter develops three topics.(1) Identification of the distributions of treatment effects
and the distributions of agent subjective evaluations of treatment effects. Methods for …

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and
associations into models for survival data. In its simplest form, frailty is an unobserved …

This paper analyzes the specification and identification of causal multivariate duration
models. We focus on the case in which one duration concerns the point in time a treatment is …

Since the early 1980s, the econometric analysis of duration variables has become
widespread. This chapter provides an overview of duration analysis, with an emphasis on …

This paper provides a comprehensive evaluation of the effects of benefit sanctions on post‐
unemployment outcomes such as post‐unemployment employment stability and earnings …

The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models
involves complex data structures and is often described as a revolutionary development. An …

We provide comprehensive evidence on the consequences of automation risk on the career
of unemployed workers and the mitigating role of labor market training. Using almost two …

An intermediate-level treatment of Bayesian hierarchical models and their applications, this
book demonstrates the advantages of a Bayesian approach to data sets involving inferences …

We present new Monte Carlo evidence regarding the feasibility of separating causality from
selection within non-experimental duration data, by means of the non-parametric maximum …

This study investigates whether and to what extent further unemployment experience for
youths who are already long term unemployed imposes a penalty on subsequent labour …