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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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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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A contribution to unemployment dynamics
Snower, Dennis J.; Karanassou, Marika - 1995
Persistent link: https://www.econbiz.de/10000673551
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Spatial heterogeneity and the wage curve revisited
Longhi, Simonetta; Nijkamp, Peter; Poot, Jacques - 2004
with other regions. These hypotheses are confirmed by means of an estimation of wage curves with data for 327 regions of … western Germany over the period 1990-97. …
Persistent link: https://www.econbiz.de/10011335216
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Continuous-time modelling with spatial dependence
Oud, Johannes H. L.; Folmer, Henk; Patuelli, Roberto; … - 2011
Persistent link: https://www.econbiz.de/10009720763