Econometric Evaluation of Labour Market Policies
Springer Science & Business Media, Feb 26, 2001 - Business & Economics - 242 pages
Empirical measurement of impacts of active labour market programmes has started to become a central task of economic researchers. New improved econometric methods have been developed that will probably influence future empirical work in various other fields of economics as well. This volume contains a selection of original papers from leading experts, among them James J. Heckman, Noble Prize Winner 2000 in economics, addressing these econometric issues at the theoretical and empirical level. The theoretical part contains papers on tight bounds of average treatment effects, instrumental variables estimators, impact measurement with multiple programme options and statistical profiling. The empirical part provides the reader with econometric evaluations of active labour market programmes in Canada, Germany, France, Italy, Slovak Republic and Sweden.
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Instrumental variables selection models and tight bounds on the average treatment effect
Some remarks on instrumental variables
Identification and estimation of causal effects of multiple treatments under the conditional independence assumption
Evaluating profiling as a means of allocating government services
Evidence from France 19861988
Do active labor market policies help unemployed workers to find and keep regular jobs?
Why do subsidised firms survive longer? An evaluation of a program promoting youth entrepreneurship in Italy
Estimating the effects of vocational rehabilitation programs in Sweden
The impact of nonprofit temping agencies on individual labour market success
Other editions - View all
active labour market allocation mechanism ALMP ALMP programs analysis Angrist assignment average treatment effect balancing score benefits exhausted Bonnal causal effects claimants coArb comparison group compliers conditional independence conditional probability correlation covariates denote distribution Econometric Economic efficiency employer employment histories exclusion restriction Fougere FTC job hazard function Heckman and Vytlacil identify Imbens impact individuals instrumental variables insurance office job finding rate job separation rate labor labour market Lechner long-term Manski matching estimators mean ment months nevertakers non-participants nonparametric selection model NPTA observed paper parameter potential outcomes predicted probability probit models profiling system profiling variable program participation propensity score rate from unemployment regular job reintegration respect Rhineland-Palatinate Rubin sample selection bias specific spontaneous firms statistical subsidised firms survival chances Table temp agencies tion training program transition rate UI benefit unem unemployed workers unemployment spell unobserved heterogeneity VR participation VR program
Empirische Wirtschaftsforschung: Methoden und Anwendungen
Wolfgang Franz,Hans J. Ramser,Manfred Stadler
No preview available - 2003