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the question whether the omission of important control variables in matching estimation leads to biased impact estimates …
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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 …
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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 …
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the question whether the omission of important control variables in matching estimation leads to biased impact estimates …
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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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