Add to ORKGLast revised November 24th, 2022.twowayfeweights estimates the weights and the measure of robustness to treatment effect heterogeneity attached to the two-way fixed effects regressions studied in Chaisemartin & D'Haultfoeuille (2018), it can also compute inference measures for the weights
wgttest performs a test proposed by DuMouchel and Duncan (1983) to evaluate whether the weighted and...
We describe a method to estimate associations between random effects from multilevel models. We prov...
We describe a method to estimate associations between random effects from multilevel models. We prov...
This article describes the implementation of a double-robust estimator for pretest–posttest studies ...
We study two-way-fixed-effects regressions (TWFE) with several treatment variables. Under a parallel...
We propose a new estimator for the average causal effects of a binary treatment with panel data in s...
I use a generalized decomposition of the Two-Way Fixed Effects (TWFE) estimator to show that it is a...
Estimation of treatment effect with causal interpretation where treatment is not randomized may be b...
This article discusses the augmented inverse propensity weighted (AIPW) estimator as an estimator fo...
Observational cohort studies are increasingly being used for comparative effectiveness research to a...
The two-way linear fixed effects regression (2FE) has become a default method for estimating causal ...
In observational studies, researchers wish to study the effect of a treatment without directly contr...
Articles and Columns A robust instrumental-variables estimator . . . . . . . . . R. Desbordes and V...
The weighted least squares (WLS) method together with heteroscedasticity consistent covariance matri...
-xtrobreg- provides robust pairwise-differences estimators and robust first-differences estimators f...
wgttest performs a test proposed by DuMouchel and Duncan (1983) to evaluate whether the weighted and...
We describe a method to estimate associations between random effects from multilevel models. We prov...
We describe a method to estimate associations between random effects from multilevel models. We prov...
This article describes the implementation of a double-robust estimator for pretest–posttest studies ...
We study two-way-fixed-effects regressions (TWFE) with several treatment variables. Under a parallel...
We propose a new estimator for the average causal effects of a binary treatment with panel data in s...
I use a generalized decomposition of the Two-Way Fixed Effects (TWFE) estimator to show that it is a...
Estimation of treatment effect with causal interpretation where treatment is not randomized may be b...
This article discusses the augmented inverse propensity weighted (AIPW) estimator as an estimator fo...
Observational cohort studies are increasingly being used for comparative effectiveness research to a...
The two-way linear fixed effects regression (2FE) has become a default method for estimating causal ...
In observational studies, researchers wish to study the effect of a treatment without directly contr...
Articles and Columns A robust instrumental-variables estimator . . . . . . . . . R. Desbordes and V...
The weighted least squares (WLS) method together with heteroscedasticity consistent covariance matri...
-xtrobreg- provides robust pairwise-differences estimators and robust first-differences estimators f...
wgttest performs a test proposed by DuMouchel and Duncan (1983) to evaluate whether the weighted and...
We describe a method to estimate associations between random effects from multilevel models. We prov...
We describe a method to estimate associations between random effects from multilevel models. We prov...