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. 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. …
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This work is devoted to estimating the individual return to worker’s professional training. The research is based on the personnel records of Russian metallurgical enterprise (2006–2010). The main factors that distinguish this paper from others are the following: (I) We focused on the...
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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 …
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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 …
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the question whether the omission of important control variables in matching estimation leads to biased impact estimates …
Persistent link: https://www.econbiz.de/10008989383
the question whether the omission of important control variables in matching estimation leads to biased impact estimates …
Persistent link: https://www.econbiz.de/10009242060