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Nonlinearity in Dynamic Causal Effects: Making the Bad into the Good, and the Good into the Great?

Toru Kitagawa, Weining Wang, Mengshan Xu

arXiv 1 Apr 2025 · Econometrics · publishedJournal of Business and Economic Statistics (2025)

arXiv:2504.01140 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper was prepared as a comment on "Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly" by Michal Koles\'{a}r and Mikkel Plagborg-M{\o}ller. We make three comments, including a novel contribution to the literature, showing how a reasonable economic interpretation can potentially be restored for average-effect estimators with negative weights.

Citation extraction

13
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in-text mentions
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appendix boundary found by appendix_command · 42% of the source is main text. Read the extracted text to check this.

Most heavily cited references

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.

ReferenceIntensityMentionsSectionsMain text
1Bojinov, I. and Shephard, N (2019) Time series experiments and causal estimands: exact randomization tests and trading0.64422100%
2Casini, A. and McCloskey, A (2024) Identification and estimation of causal effects in high-frequency event studies0.64422100%
3Rambachan, A. and Shepherd, N (2021) When do common time series estimands have nonparametric causal meaning?0.64422100%
4Crump, R. K., Hotz, V. J., Imbens, G. W., and Mitnik, W. O. A (2009) Dealing with limited overlap in estimation of average treatment effects0.40511100%
5Koo, B., Lee, S., and Seo, M (2023) What impulse response do instrumental variables identify?0.40511100%
6Angrist, J (1998) Estimating the labor market impact of voluntary military service using social security data on military applicants0.40511100%
7Angrist, J. D., Jordà, Ò., and Kuersteiner, G. M (2018) Semiparametric estimates of monetary policy effects: string theory revisited0.40511100%
8Chen, J (2024) Potential weights and implicit causal designs in linear regression0.40511100%
9De Chaisemartin, C. and d’Haultfoeuille, X (2020) Two-way fixed effects estimators with heterogeneous treatment effects0.40511100%
10Imbens, G. W. and Angrist, J. D (1994) Identification and estimation of local average treatment effects0.40511100%

Showing the top 10 of 13 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Causal State-Dependent Local Projections0.00011