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Difference-in-Differences Estimators of Intertemporal Treatment Effects

Chaisemartin, Clément de; D'Haultfœuille, Xavier - 2021

We consider the estimation of the effect of a treatment, using panel data where groups of units are exposed to different doses of the treatment at different times. We consider two sets of parameters of interest. The first are the average effects of having changed treatment for the first time...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013242547

Two-way fixed effects and differences-in-differences with heterogeneous treatment effects : a survey

Chaisemartin, Clément de; D'Haultfœuille, Xavier - In: The econometrics journal 26 (2023) 3, pp. C1-C30

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014391670

Nonparametric difference-in-differences in repeated cross-sections with continuous treatments

D'Haultfœuille, Xavier; Hoderlein, Stefan; Sasaki, Yuya - In: Journal of econometrics 234 (2023) 2, pp. 664-690

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014434361

Two-way fixed effects and differences-in-differences estimators with several treatments

Chaisemartin, Clément de; D'Haultfœuille, Xavier - In: Journal of econometrics 236 (2023) 2, pp. 1-20

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014365538

Difference-in-difference estimators with continuous treatments and no stayers

Chaisemartin, Clément de; D'Haultfœuille, Xavier; … - In: AEA papers and proceedings 114 (2024), pp. 610-613

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015326368

Nonlinear difference-in-differences in repeated cross sections with continuous treatments

D'Haultfœuille, Xavier; Hoderlein, Stefan; Sasaki, Yuya - 2013

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010210786

Fuzzy changes-in-changes

Chaisemartin, Clément de; D'Haultfœuille, Xavier - 2014

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010390212

Fuzzy differences-in- differences

Chaisemartin, Clément de; D'Haultfœuille, Xavier - 2015

In many applications of the differences-in-differences (DID) method, the treatment increases more in the treatment group, but some units are also treated in the control group. In such fuzzy designs, a popular estimator of treatment effects is the DID of the outcome divided by the DID of the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011372663

Fuzzy differences-in-differences

Chaisemartin, Clément de; D'Haultfœuille, Xavier - In: The review of economic studies 85 (2018) 2, pp. 999-1028

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011922238

An alternative to synthetic control for models with many covariates under sparsity

Bléhaut, Marianne; D'Haultfœuille, Xavier; L'Hour, Jeremy - 2020

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012286454