Results 1 to 10 of about 12,640,589 (322)
Generalized Nonlinear Difference-in-Difference-in-Differences [PDF]
SSRN Electronic Journal, 2019 The work of the first author was supported by Riksbankens Jubileumsfond, Grant M13-0559:1, PI: Staff an I. Lindberg, V-Dem Institute, University of Gothenburg, Sweden and by European Research Council, Grant 724191, PI: Staff an I.
Adam Glynn, Nahomi Ichino
semanticscholar +2 more sources
Impact evaluation using Difference-in-Differences [PDF]
RAUSP Management Journal, 2019 Purpose – This paper aims to present the Difference-in-Differences (DiD) method in an accessible language to a broad research audience from a variety of management-related fields. Design/methodology/approach – The paper describes the DiD method, starting
Anders Fredriksson +1 more
doaj +2 more sources
Synthetic Difference in Differences [PDF]
The American Economic Review, 2018 We present a new estimator for causal effects with panel data that builds on insights behind the widely used difference-in-differences and synthetic control methods.
Dmitry Arkhangelsky +4 more
semanticscholar +2 more sources
Doubly Robust Difference-in-Differences Estimators [PDF]
SSRN Electronic Journal, 2018 This article proposes doubly robust estimators for the average treatment effect on the treated (ATT) in difference-in-differences (DID) research designs. In contrast to alternative DID estimators, the proposed estimators are consistent if either (but not
Pedro H. C. Sant’Anna, Jun B. Zhao
semanticscholar +5 more sources
Impact of social factors and health campaigns on the burden of idiopathic epilepsy: an inequality, decomposition, generalized and synthetic difference-in-differences study [PDF]
Frontiers in Public HealthBackgroundIdiopathic epilepsy is a major global health burden that causes premature death and disability. Previous studies have systematically analyzed trends in the burden of idiopathic epilepsy. However, analyses of the impact of social factors, health
Xuewen Rong +7 more
doaj +2 more sources
Inference with Difference-in-Differences Revisited [PDF]
SSRN Electronic Journal, 2013 A growing literature on inference in difference-in-differences (DiD) designs has been pessimistic about obtaining hypothesis tests of the correct size, particularly with few groups.
M. Brewer, Thomas F. Crossley, R. Joyce
semanticscholar +5 more sources
What’s trending in difference-in-differences? A synthesis of the recent econometrics literature [PDF]
Journal of Econometrics, 2022 This paper synthesizes recent advances in the econometrics of difference-in-differences (DiD) and provides concrete recommendations for practitioners. We begin by articulating a simple set of ``canonical'' assumptions under which the econometrics of DiD ...
J. Roth +3 more
semanticscholar +1 more source
Synthetic Difference-in-Differences [PDF]
American Economic Review, 2021 We present a new estimator for causal effects with panel data that builds on insights behind the widely used difference-in-differences and synthetic control methods. Relative to these methods we find, both theoretically and empirically, that this “synthetic difference-in-differences” estimator has desirable robustness properties, and that it performs ...
Arkhangelsky, Dmitry +4 more
openaire +2 more sources
Difference-in-Differences with a Continuous Treatment [PDF]
Social Science Research Network, 2021 This paper analyzes difference-in-differences designs with a continuous treatment. We show that treatment-on-the-treated-type parameters are identified under a parallel trends assumption analogous to the binary treatment case.
Brantly Callaway +2 more
semanticscholar +1 more source
Synthesized difference in differences [PDF]
Proceedings of the 12th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 2021 We consider estimating the conditional average treatment effect for everyone by eliminating confounding and selection bias. Unfortunately, randomized clinical trials (RCTs) eliminate confounding but impose strict exclusion criteria that prevent sampling of the entire clinical population.
Strobl, Eric V., Lasko, Thomas A.
openaire +2 more sources