Broken or Fixed Effects?
2014
117 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a7151b45b0eb9fa0b5d931d6d8213a09655d67b3
Citations in the corpus
- 'Effortless Perfection:' Do Chinese Cities Manipulate Air Pollution Data? (2014, unknown): “(2013) and Gibbons et al. (2011). Since we do not expect the true relationship between API and other variables to be linear or to follow a particular functional form assumption, the nonparametric approach is preferable.”
- Selection into Identification in Fixed Effects Models, with Application to Head Start (2019, unknown): “12 This stands in contrast to the assumption that all FE groups are switchers, which underlies several econometric techniques (Bates et al. 2014; Loken, Mogstad, and Wiswall 2012; Gibbons, Suárez, and Urbancic 2019).”
- Estimating dynamic treatment effects in event studies with heterogeneous treatment effects (2018, unknown): “Following Gibbons et al. (2018), we call these estimators “interaction-weighted” (IW) estimators.”
- Two-stage differences in differences (2022, unknown): “Following Gibbons et al. (2017), Borusyak and Jaravel (2017), Callaway and Sant’Anna (2020), and Sun and Abraham (2020), one alternative is to estimate separate average treatment effects for each group and period, which can then be aggregated to form measures of the overall effect of the treatment (”