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This study investigates how to use regression adjustment to reduce variance in experimental data. We show that the estimators recommended in the literature satisfy an orthogonality property with respect to the parameters of the adjustment. This observation greatly simplifies the derivation of...
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to start the ethics approval process; and research transparency, including how to prevent publication bias and data …
Persistent link: https://www.econbiz.de/10014023417
of discrimination in America, 1993), namely the bias in their results in case of group differences in the variance of … unobserved determinants of hiring outcomes. In this study, the authors empirically investigate this bias in the context of gender … discrimination. The authors do not find significant evidence for the feared bias. …
Persistent link: https://www.econbiz.de/10011312754
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In this paper, we provide a suite of tools for empirical market design, including optimal nonlinear pricing in intensive-margin consumer demand, as well as a broad class of related adverse-selection models. Despite significant data limitations, we are able to derive informative bounds on demand...
Persistent link: https://www.econbiz.de/10014337879
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assignment methods such as matched pair designs ensure balance across arms while maintaining randomization and permitting … reduces the informativeness of experiments. A simple structural model suggests that for a typical experiment, using a balanced …
Persistent link: https://www.econbiz.de/10013477237
This paper describes a number of strategies that experimenters may use to improve the external validity of their own findings, and of their research field as a whole. The paper emphasizes a dynamic view of research processes, in which learning about treatment and treatment adoption does not...
Persistent link: https://www.econbiz.de/10013477254
's outcomes. This improvement is observed in both the field experiment and the subsequent large-scale government adoption. We also …
Persistent link: https://www.econbiz.de/10014322794