The ex-ante evaluation of policies using structural econometric models is based on estimated parameters as a stand-in for the truth. This practice ignores uncertainty in the counterfactual policy predictions of the model. We develop a generic approach that deals with parametric uncertainty using...

We estimate a structural model of education choices in which individuals choose between a professional (or technical) and a general track at both high school and university levels using French panel data (Génération 98). The average per-period utility of attending general high school (about...

To which extent does an increase in operating effectiveness of public employment agencies on the one hand and a reduction of unemployment benefits on the other reduce unemployment? Using the recent labour market reform in Germany as background we find that the role of unemployment benefit...

This study investigates the role of on-the-job training in the employment outcomes of less educated men in their late careers. Using survey data from the German National Education Panel Study adult cohort, I estimate a structural dynamic discrete-choice model reflecting the trade-offs of the...

There have been more than 500,000 opioid overdose deaths since 2000. To analyze the opioid epidemic, a model is constructed where individuals choose whether to use opioids recreationally, knowing the probabilities of addiction and dying. These odds are functions of recreational opioid usage....

Nonparametric techniques are usually seen as a statistic device for data description and exploration, and not as a tool for estimating models with a richer economic structure, which are often required for policy analysis. This paper presents an example where nonparametric flexibility can be...

The paper develops and estimates a dynamic structural model that allows for the interrelations between girls' schooling and mothers' labor market participation decision, in a rural area of Pakistan where drop-out rates are considerably high. The model incorporates home production, which is...

We use price and wage data from McDonald's restaurants to provide evidence on wage increases, labor-saving technology introduction, and price pass-through by a large low-wage employer facing a flurry of minimum wage hikes from 2016-2020. We estimate an elasticity of hourly wage rates with...

This paper develops a pseudo-panel approach to examine household electricity demand behavior through the household life cycle and its response to income variations to help strengthen the energy policy-making process. Our empirical methodology is based on three rich independent microdata surveys...

Using a matched firm-worker dataset, we show both theoretically and empirically that positive assortative matching between firms and workers leads to an underestimation of the absolute value of wage elasticity of labor demand. -- Matching ; employment ; labor demand estimation