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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
. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation … and conventional estimation becomes more similar in larger samples and higher treatment shares. …
Persistent link: https://www.econbiz.de/10012060603
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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
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Difference‐in‐difference estimation by FE and OLS when there is panel non‐response
Lechner, Michael; Rodríguez-Planas, Núria; … - 2015
estimation may still be consistent, while OLS will be inconsistent. We provide simulation as well as empirical evidence for this … evidence that non‐response is not ignorable for the differences-in-differences estimation. …
Persistent link: https://www.econbiz.de/10011387121
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Sensitivity of matching-based program evaluations to the availability of control variables
Lechner, Michael; Wunsch, Conny - 2011
the question whether the omission of important control variables in matching estimation leads to biased impact estimates … as detailed regional characteristics are also relevant. -- training ; job search assistance ; matching estimation …
Persistent link: https://www.econbiz.de/10009233065
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Sensitivity of matching-based program evaluations to the availability of control variables
Lechner, Michael; Wunsch, Conny - 2011
the question whether the omission of important control variables in matching estimation leads to biased impact estimates … as detailed regional characteristics are also relevant. -- training ; job search assistance ; matching estimation …
Persistent link: https://www.econbiz.de/10009011187
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Sensitivity of matching-based program evaluations to the availability of control variables
Lechner, Michael; Wunsch, Conny - In: Labour economics : official journal of the European … 21 (2013), pp. 111-121
Persistent link: https://www.econbiz.de/10009737246
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Treatment effects and panel data
Lechner, Michael - 2013
Persistent link: https://www.econbiz.de/10010242949
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Sensitivity of matching-based program evaluations to the availability of control variables
Lechner, Michael; Wunsch, Conny - 2011
the question whether the omission of important control variables in matching estimation leads to biased impact estimates …
Persistent link: https://www.econbiz.de/10008989383
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Sensitivity of matching-based program evaluations to the availability of control variables
Lechner, Michael; Wunsch, Conny - 2011
the question whether the omission of important control variables in matching estimation leads to biased impact estimates …
Persistent link: https://www.econbiz.de/10009242060
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Machine Learning Estimation of Heterogeneous Causal Effects : Empirical Monte Carlo Evidence
Knaus, Michael - 2019
We investigate the finite sample performance of causal machine learning estimators for heterogeneous causal effects at different aggregation levels. We employ an Empirical Monte Carlo Study that relies on arguably realistic data generation processes (DGPs) based on actual data. We consider 24...
Persistent link: https://www.econbiz.de/10012894534