arXiv 26 Dec 2022 · Econometrics
arXiv:2212.13226 · PDF · DOI · OpenAlex · Extracted main text
We consider a general difference-in-differences model in which the treatment variable of interest may be non-binary and its value may change in each period. It is generally difficult to estimate treatment parameters defined with the potential outcome given the entire path of treatment adoption, because each treatment path may be experienced by only a small number of observations. We propose an alternative approach using the concept of effective treatment, which summarizes the treatment path into an empirically tractable low-dimensional variable, and develop doubly robust identification, estimation, and inference methods. We also provide a companion R software package.
appendix boundary found by appendix_command · 57% of the source is main text. Read the extracted text to check this.
The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | de Chaisemartin, C. and D'Haultfuille, X (2020) b | 1.000 | 5 | 3 | 100% |
| 2 | Callaway, B. and Sant'Anna, P.H (2021) Difference-in-differences with multiple time periods | 0.941 | 6 | 4 | 83% |
| 3 | Mammen, E (1993) Bootstrap and wild bootstrap for high dimensional linear models | 0.874 | 6 | 3 | 67% |
| 4 | de Chaisemartin, C. and D'Haultfuille, X (2022) a | 0.811 | 4 | 2 | 100% |
| 5 | Vella, F. and Verbeek, M (1998) Whose wages do unions raise? a dynamic model of unionism and wage rate determination for young men | 0.811 | 4 | 2 | 100% |
| 6 | de Chaisemartin, C. and D'Haultfuille, X (2022) b | 0.737 | 3 | 2 | 100% |
| 7 | Goodman-Bacon, A (2021) Difference-in-differences with variation in treatment timing | 0.737 | 3 | 2 | 100% |
| 8 | Ishimaru, S (2022) What do we get from a two-way fixed effects estimator? implications from a general numerical equivalence | 0.644 | 2 | 2 | 100% |
| 9 | Manski, C.F (2013) Identification of treatment response with social interactions | 0.644 | 2 | 2 | 100% |
| 10 | Miller, D.L (2023) An introductory guide to event study models | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 32 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Difference-in-Differences Designs: A Practitioner's Guide | 0.405 | 1 | 1 |