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The importance of using natural experiments and experimental data in economic research has long been recognized. Yet, it is only in recent years that these approaches have become an integral part of the economist's analytical toolbox, thanks to the efforts of Meyer, Card, Peters, Krueger,...
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incomplete sample. The proposed strategies were found to be more efficient and bias-controllable than similar estimation …
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Survey to illustrate the limitations of the SWS. We evaluate the effect of designing weights based on response to wave … respondents if used with a different combination of waves. This leads to less precision on some, but not all, of the survey …
Persistent link: https://www.econbiz.de/10010422757
less data. The choice of survey mode, therefore, involves a potential tradeoff between bias and variance of estimators. I … dilemma. I then use a simulation study to show how and under what conditions a hybrid survey design can improve efficiency of … use a case study comparing inferences about payment instrument use based on different survey designs to illustrate this …
Persistent link: https://www.econbiz.de/10012425355
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) for the staggered treatment adoption design and a Stata tool that implements the approach. This flexible conditional difference-in-differences approach is particularly useful for...
Persistent link: https://www.econbiz.de/10012178518
alternatives like CEM Matching and difference-in-differences models. The novelty of this tool is an extensive data preprocessing to … include time information into the matching approach and the treatment effect estimation. The core of the paper gives two …
Persistent link: https://www.econbiz.de/10011979233
make no difference. However, the small sample properties can differ. We explore small sample power and estimation bias both …Indirect inference testing can be carried out with a variety of auxiliary models. Asymptotically these different models … with different variable combinations and descriptive models (Vector Auto Regressions, Impulse Response Functions or Moments …
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