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pro vyhledávání: '"Butts, Kyle"'
The present paper proposes a new treatment effects estimator that is valid when the number of time periods is small, and the parallel trends condition holds conditional on covariates and unobserved heterogeneity in the form of interactive fixed effec
Externí odkaz:
http://arxiv.org/abs/2301.11358
Autor:
Butts, Kyle
This paper formalizes a common approach for estimating effects of treatment at a specific location using geocoded microdata. This estimator compares units immediately next to treatment (an inner-ring) to units just slightly further away (an outer-rin
Externí odkaz:
http://arxiv.org/abs/2110.10192
Autor:
Butts, Kyle
A recent econometric literature has critiqued the use of regression discontinuities where administrative borders serves as the 'cutoff'. Identification in this context is difficult since multiple treatments can change at the cutoff and individuals ca
Externí odkaz:
http://arxiv.org/abs/2109.07406
Autor:
Butts, Kyle, Gardner, John
Recent work has highlighted the difficulties of estimating difference-in-differences models when treatment timing occurs at different times for different units. This article introduces the R package did2s which implements the estimator introduced in
Externí odkaz:
http://arxiv.org/abs/2109.05913
Autor:
Butts, Kyle
Empirical work often uses treatment assigned following geographic boundaries. When the effects of treatment cross over borders, classical difference-in-differences estimation produces biased estimates for the average treatment effect. In this paper,
Externí odkaz:
http://arxiv.org/abs/2105.03737
Publikováno v:
In Journal of Urban Economics November 2022 132
Autor:
Butts, Kyle1 (AUTHOR) kyle.butts@colorado.edu
Publikováno v:
Applied Economics Letters. Mar2023, Vol. 30 Issue 5, p615-619. 5p. 1 Graph.
Autor:
Butts, Kyle1 buttskyle96@gmail.com, Gardner, John2 jrgardne@olemiss.edu
Publikováno v:
R Journal. Sep2022, Vol. 14 Issue 3, p162-173. 12p.
We study the effect of treatment on an outcome when parallel trends hold conditional on an interactive fixed effects structure. In contrast to the majority of the literature, we propose identification using time-varying covariates. We assume the untr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc3635f2dc6133cf9c974a8a6a1977cb