Dynamic Evaluation of Job Search Assistance
43 Pages Posted: 18 Jan 2011 Last revised: 16 Apr 2023
Abstract
This paper evaluates a job search assistance program for unemployment insurance recipients. The assignment to the program is dynamic. We provide a discussion on dynamic treatment effects and identification conditions. In the empirical analyses we use administrative data from a unique institutional environment. This allows us to compare different microeconometric evaluation estimators. All estimators find that the job search assistance program reduces the exit to work, in particular when provided early during the spell of unemployment. Furthermore, continuous-time (timing-of-events and regression discontinuity) methods are more robust than discrete-time (propensity score and regression discontinuity) methods.
Keywords: empirical evaluation, dynamic enrollment, treatment evaluation
JEL Classification: C22, J64, J68
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Characterizing Selection Bias Using Experimental Data
By James J. Heckman, Hidehiko Ichimura, ...
-
Propensity Score Matching Methods for Non-Experimental Causal Studies
By Rajeev H. Dehejia and Sadek Wahba
-
Propensity Score Matching Methods for Non-Experimental Causal Studies
By Rajeev H. Dehejia and Sadek Wahba
-
Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs
By Orley Ashenfelter and David Card
-
Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs
By Rajeev H. Dehejia and Sadek Wahba
-
Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review
-
The Role of the Propensity Score in Estimating Dose-Response Functions
-
Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?
By Jeffrey A. Smith and Petra Todd