Results 11 to 20 of about 18,306,499 (332)
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. Lindberg, V-Dem Institute, University of Gothenburg, Sweden.
Glynn, Adam, Ichino, Nahomi
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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 necessarily both) a propensity score or outcome regression working models are correctly specified ...
Sant'Anna, Pedro H. C., Zhao, Jun
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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
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Inference with Difference-in-Differences Revisited [PDF]
SSRN Electronic Journal, 2013 Abstract 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. We provide Monte Carlo evidence for four points: (i) it is possible to obtain tests of the correct size even with few groups, and in many settings ...
Mike Brewer +2 more
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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
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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
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Difference-in-Differences with Multiple Time Periods [PDF]
Journal of Econometrics, 2018 Difference-in-Differences (DID) is one of the most important and popular designs for evaluating causal effects of policy changes. In its standard format, there are two time periods and two groups: in the first period no one is treated, and in the second ...
Brantly Callaway +1 more
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Difference-in-Differences Estimators of Intertemporal Treatment Effects [PDF]
Social Science Research Network, 2020 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.
Clément de Chaisemartin +1 more
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Synthetic Difference In Differences [PDF]
The American Economic Review, 2019 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
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International Journal of Public Health, 2023 Objectives: To evaluate the impact of comprehensive medical reform on the efficiency of medical resource allocation in China.Methods: This study employs the Slacks-Based Measure- Directional Distance Function (SBM-DDF) to estimate the efficiency of ...
Xiaoyang Sun +4 more
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