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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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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 - 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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Empirical Monte Carlo evidence on estimation of timing-of-events models
Lombardi, Stefano; Berg, Gerard J. van den; Vikström, Johan - 2021
estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on …
Persistent link: https://www.econbiz.de/10012390913
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Empirical Monte Carlo evidence on estimation of Timing-of-Events models
Lombardi, Stefano; Berg, Gerard J. van den; Vikström, Johan - 2020
estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on …
Persistent link: https://www.econbiz.de/10012419545
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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; … - 2020
. 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/10012165548
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Transgenerational effects of childhood conditions on third generation health and education outcomes
Berg, Gerard J. van den; Pinger, Pia - 2014
This paper examines the extent to which pre-puberty nutritional conditions in one generation affect productivity-related outcomes in later generations. Recent findings from the biological literature suggest that age 8-12 is a critical period for male germ cell development. We build on this...
Persistent link: https://www.econbiz.de/10010462133