Showing 1 - 10 of 310
We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimation for dynamic …
Persistent link: https://www.econbiz.de/10010959620
We examine empirically the impacts of labor market policies – in terms of unemployment insurance (UI) and active labor market programs (ALMP) – on the duration and outcome of job search and on the quality of a subsequent job. We find that time invested in job search tends to pay off in the...
Persistent link: https://www.econbiz.de/10005762093
Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...
Persistent link: https://www.econbiz.de/10005762292
Propensity score matching is a prominent strategy to reduce imbalance in observational studies. However, if imbalance is considerable and the control reservoir is small, either one has to match one control to several treated units or, alternatively, discard many treated persons. The first...
Persistent link: https://www.econbiz.de/10005703155
Based on a sequence of reforms in the Norwegian unemployment insurance (UI) system, we show that activity-oriented UI regimes - i.e., regimes with a high likelihood of required participation in active labor market programs, duration limitations on unconditional UI entitlements, and high sanction...
Persistent link: https://www.econbiz.de/10005566614
We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of … endogenous assignment variable (like previous earnings). We provide new results on identification and estimation for these …
Persistent link: https://www.econbiz.de/10011125868
The Regression Kink (RK) design is an increasingly popular empirical method, with more than 20 studies circulated using RK in the last 5 years since the initial circulation of Card, Lee, Pei and Weber (2012). We document empirically that these estimates, which typically use local linear...
Persistent link: https://www.econbiz.de/10010790521
An important goal when analyzing the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works. We define a causal mechanism effect of a treatment and the causal effect net of that mechanism using the potential outcomes framework. These...
Persistent link: https://www.econbiz.de/10005004553
improving the identification and estimation strategy. Using the German Socio Economic Panel (1984-2001) we estimate the impact …
Persistent link: https://www.econbiz.de/10005761627
) and Porter (2003), who examined identification and estimation without covariates, requiring assumptions that may often be …. In addition, accounting for covariates may also reduces variance. Finally, estimation of quantile treatment effects (QTE …
Persistent link: https://www.econbiz.de/10005762088