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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 … 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/10009242060
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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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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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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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Exponent of cross-sectional dependence : estimation and inference
Bailey, Natalia; Kapetanios, George; Pesaran, M. Hashem - 2012
Persistent link: https://www.econbiz.de/10009579875
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Exponent of cross-sectional dependence : estimation and inference
Bailey, Natalia; Kapetanios, George; Pesaran, M. Hashem - 2012
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10009530816
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Exponent of cross-sectional dependence : estimation and inference
Bailey, Natalia; Kapetanios, George; Pesaran, M. Hashem - 2012
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10009488893