Narrow search
Showing 1 - 10 of 11,167
Cover Image
Identification and estimation of causal effects of multiple treatments under the conditional independence assumption
Lechner, Michael - 1999
the approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that …
Persistent link: https://www.econbiz.de/10011317474
Cover Image
Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption
Lechner, Michael - 1999
approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that framework …
Persistent link: https://www.econbiz.de/10014185533
Cover Image
Long-run effects of dynamically assigned treatments : a new methodology and an evaluation of training effects on earnings
Berg, Gerard J. van den; Vikström, Johan - 2019
We propose and implement a new method to estimate treatment effects in settings where individuals need to be in a certain state (e.g. unemployment) to be eligible for a treatment, treatments may commence at different points in time, and the outcome of interest is realized after the individual...
Persistent link: https://www.econbiz.de/10012035113
Cover Image
Quantifying the share of total apparent effect that is genuinely due to a treatment : a comparison of methods
Herick, David van; Mokhtarian, Patricia L. - In: Research in transportation economics 90 (2021), pp. 1-17
Persistent link: https://www.econbiz.de/10013185783
Cover Image
Sequential Matching Estimation of Dynamic Causal Models
Lechner, Michael - 2021
This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic causal effects …. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal … estimators perform well in small and medium size samples. Based on the application of the sequential matching estimators to an …
Persistent link: https://www.econbiz.de/10013319454
Cover Image
Covariate balance weighting methods in estimating treatment effects : an empirical comparison
Zhan, Mingfeng; Cai, Zongwu; Fang, Ying; Lin, Ming - 2020
Persistent link: https://www.econbiz.de/10012425290
Cover Image
Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed
Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - 2019
Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation … of average treatment effects on the treated using a radius matching framework. Considering two popular methods, the …
Persistent link: https://www.econbiz.de/10012060603
Cover Image
Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed
Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - 2019
Persistent link: https://www.econbiz.de/10012098947
Cover Image
Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed
Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - 2020
Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation … of average treatment effects on the treated using a radius matching framework. Considering two popular methods, the …Propensity Score Matching-Schätzer sind ein zentrales Tool, um Wirkungen aktiver Arbeitsmarktpolitik mit …
Persistent link: https://www.econbiz.de/10012165548
Cover Image
Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed
Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - In: Labour economics : official journal of the European … 65 (2020)
Persistent link: https://www.econbiz.de/10012522902