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This paper extends the evaluation of direct and indirect treatment effects, i.e., mediation analysis, to the case that outcomes are only partially observed due to sample selection or outcome attrition. We assume sequential conditional independence of the treatment and the mediator, i.e., the...
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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. …
Persistent link: https://www.econbiz.de/10012060603
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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. …
Persistent link: https://www.econbiz.de/10012165548
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We present a new method for imposing and testing concavity of a cost function using asymptotic least squares, which can easily be implemented even for cost functions which are nonlinear in parameters. We provide an illustration on the basis of a (generalized) Box-Cox cost function with six...
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