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Chang, Pao-li; Lee, Myoung-jae; Rancière, Romain - In: Journal of international economics 85 (2011) 1, pp. 53-71

Persistent link: https://www.econbiz.de/10009356264

Joo, Joonhwi; LaLonde, Robert John - 2014

framework is if the usual assumptions hold for matching or IV estimators, the control function identifies the presence and … appropriate to use more efficient estimators of treatment effects, such as those based on least squares or matching. Another …

Persistent link: https://www.econbiz.de/10010407986

Testing conditional independence in macroeconomic policy evaluation for time series data

Fang, Ying; Lin, Ming; Tang, Shengfang; Cai, Zongwu - 2021

Persistent link: https://www.econbiz.de/10012663950

How much should we trust staggered difference-in-differences estimates?

Baker, Andrew; Larcker, David F.; Wang, Charles C. Y. - 2021

Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the presence of treatment...

Persistent link: https://www.econbiz.de/10012504212

Marginal Treatment Effects in Difference-in-Differences

Picchetti, Pedro; Campos de Xavier Pinto, Cristine - 2022

Difference-in-Differences (DiD) is a popular method used to evaluate the effect of a treatment. In its most simple version a control group remains untreated at two periods, whereas the treatment group becomes fully treated at the second period. However, it is not uncommon in applications of the...

Persistent link: https://www.econbiz.de/10014084358