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complicated by the non-observability of the outcome of interest due to attrition, sample selection, or survey non-response. To … tackle the latter problem, the latent ignorability (LI) assumption imposes that attrition/sample selection is independent of … the outcome conditional on the treatment compliance type (i.e., how the treatment behaves as a function of the instrument …
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endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the … treatment and a continuous instrument for non-response/attrition, we identify the average treatment effect on compliers as well … training) and attrition are instrumented by randomized cash incentives paid out conditional on gym visits and by a cash lottery …
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outcomes are only partially observed due to sample selection or outcome attrition. We assume sequential conditional … missing at random or instrumental variable assumptions on the outcome attrition process. Under these conditions, we derive …
Persistent link: https://www.econbiz.de/10012404583
Missing survey data occur because of unit and item non-response. This is practically independent of the method of data collection. As a result of the bias that non-response sometimes introduces in survey estimates, identifying factors that promote it, and taking measures of prevention and...
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heterogeneous unit nonresponse. Attrition or unit nonresponse in panel data usually renders parameter estimators inconsistent unless … attrition process is conditionally mean independent of the variables of interest then the sample equivalents of the population …
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, can be helpful in mitigating theeffects of attrition, both by allowing for estimation of richermodels and by making … data with attrition. …
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