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Semiparametric Difference-in-Differences Estimators
The Review of Economic Studies, 2005Summary: The difference-in-differences (DID) estimator is one of the most popular tools for applied research in economics to evaluate the effects of public interventions and other treatments of interest on some relevant outcome variables. However, it is well known that the DID estimator is based on strong identifying assumptions.
Alberto Abadie
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Difference-in-Differences Hedonics
Journal of Political Economy, 2021Cross-sectional estimates of hedonic price functions theoretically recover marginal values for characteristics but face endogeneity problems. Consequently, economists have introduced difference-in-differences and other quasi-experimental econometric ...
Spencer Banzhaf
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How Much Should We Trust Staggered Difference-In-Differences Estimates?
Social Science Research Network, 2021Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research.
A. Baker, D. Larcker, Charles C. Y. Wang
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Is aid for infrastructure effective? A difference-in-difference-in-differences approach [PDF]
, 2016 The effects of foreign aid on the endowment of recipient countries with infrastructure have received surprisingly little attention in the empirical literature. This paper addresses this question by performing difference-in-difference-in-differences estimations, with the treatment defined as steep increases in aid for infrastructure since a distinct ...
Donaubauer, Julian, Nunnenkamp, Peter
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Generalized Difference-in-Differences
Epidemiology, 2022Difference-in-differences (DID) analyses are used in a variety of research areas as a strategy for estimating the causal effect of a policy, program, intervention, or environmental hazard (hereafter, treatment). The approach offers a strategy for estimating the causal effect of a treatment using observational (i.e., nonrandomized) data in which ...
David B. Richardson +2 more
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Simple Approaches to Nonlinear Difference-in-Differences with Panel Data
Social Science Research Network, 2023I derive simple, flexible strategies for difference-in-differences settings where the nature of the response variable may warrant a nonlinear model. I allow for general staggered interventions, with and without covariates.
J. Wooldridge
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Current Issues in Tourism, 2021
In accordance with the economic influences of an increase in minimum wage on labor markets, this study examines the effects of the federal-level minimum wage increase on U.S. hotel properties employing a difference-in-differences (DID) estimation method.
H. Song, J. Yeon, Seoki Lee, Zhou Li
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In accordance with the economic influences of an increase in minimum wage on labor markets, this study examines the effects of the federal-level minimum wage increase on U.S. hotel properties employing a difference-in-differences (DID) estimation method.
H. Song, J. Yeon, Seoki Lee, Zhou Li
semanticscholar +1 more source
Rejoinder to “Instrumented Difference-in-Differences”
Biometrics, 2022Abstract We thank all the discussants for the careful reading and insightful comments. In our rejoinder, we extend the discussion of how the assumptions of instrumented difference-in-differences (iDID) compare to the assumptions of the standard instrumental variable method.
Ting Ye +4 more
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