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Journal articles on the topic 'Difference-in-differences'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Banzhaf, H. Spencer. "Difference-in-Differences Hedonics." Journal of Political Economy 129, no. 8 (2021): 2385–414. http://dx.doi.org/10.1086/714442.

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2

Arkhangelsky, Dmitry, Susan Athey, David A. Hirshberg, Guido W. Imbens, and Stefan Wager. "Synthetic Difference-in-Differences." American Economic Review 111, no. 12 (2021): 4088–118. http://dx.doi.org/10.1257/aer.20190159.

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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 well in settings where the conventional estimators are commonly used in practice. We study the asymptotic behavior of the estimator when the systematic part of the outcome model includes latent unit factors interacted with latent time factors, and

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3

Richardson, David B., Ting Ye, and Eric J. Tchetgen Tchetgen. "Generalized Difference-in-Differences." Epidemiology 34, no. 2 (2022): 167–74. http://dx.doi.org/10.1097/ede.0000000000001568.

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4

Kumar, Saurabh. "Difference-in-Differences in Action: Measuring Brand Marketing Campaign Impact Through Survey Responses." International Journal of Science and Research (IJSR) 7, no. 9 (2018): 1669–73. http://dx.doi.org/10.21275/sr18920585948.

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5

Kim, Kimin, and Myoung-jae Lee. "Difference in differences in reverse." Empirical Economics 57, no. 3 (2018): 705–25. http://dx.doi.org/10.1007/s00181-018-1465-0.

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6

Abadie, Alberto. "Semiparametric Difference-in-Differences Estimators." Review of Economic Studies 72, no. 1 (2005): 1–19. http://dx.doi.org/10.1111/0034-6527.00321.

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7

Minton, Robert, and Casey B. Mulligan. "Difference-in-Differences in the Marketplace." Finance and Economics Discussion Series, no. 2024-008 (February 2024): 1–21. http://dx.doi.org/10.17016/feds.2024.008.

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Price theory says that the most important effects of policy and technological change are often found beyond their first point of contact. This appears opposed to econometric methods that rule out spillovers of one person’s treatment on another’s outcomes. This paper uses the industry model from price theory to represent the statistical concepts of treatments and controls. When treated and control observations are in the same market, the controls are indirectly affected by the treatment. Moreover, even the effect of the treatment on the treated reveals only part of the consequence for the treat

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8

Sasabuchi, Yusuke. "Introduction to Difference-in-differences Design." Annals of Clinical Epidemiology 3, no. 3 (2021): 74–77. http://dx.doi.org/10.37737/ace.3.3_74.

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9

Glynn, Adam N., and Konstantin Kashin. "Front-Door Difference-in-Differences Estimators." American Journal of Political Science 61, no. 4 (2017): 989–1002. http://dx.doi.org/10.1111/ajps.12311.

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10

Fredriksson, Anders, and Gustavo Magalhães de Oliveira. "Impact evaluation using Difference-in-Differences." RAUSP Management Journal 54, no. 4 (2019): 519–32. http://dx.doi.org/10.1108/rausp-05-2019-0112.

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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 with an intuitive explanation, goes through the main assumptions and the regression specification and covers the use of several robustness methods. Recurrent examples from the literature are used to illustrate the different concepts. Findings By providing an overview of the method, the authors cover the main issues involved when conducting DiD stu

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11

Houngbedji, Kenneth. "Abadie's Semiparametric Difference-in-differences Estimator." Stata Journal: Promoting communications on statistics and Stata 16, no. 2 (2016): 482–90. http://dx.doi.org/10.1177/1536867x1601600213.

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12

Sant’Anna, Pedro H. C., and Jun Zhao. "Doubly robust difference-in-differences estimators." Journal of Econometrics 219, no. 1 (2020): 101–22. http://dx.doi.org/10.1016/j.jeconom.2020.06.003.

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13

Butts, Kyle, and John Gardner. "did2s: Two-Stage Difference-in-Differences." R Journal 14, no. 3 (2022): 162–73. http://dx.doi.org/10.32614/rj-2022-048.

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14

Rajasekhara Reddy Tetala, Vidya. "Unlocking Cost Savings in Healthcare: How Difference-in-Differences (DID) Can Measure the Impact of Interventions." International Journal of Science and Research (IJSR) 13, no. 10 (2024): 408–11. http://dx.doi.org/10.21275/sr241004074146.

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15

St. Clair, Travis, and Thomas D. Cook. "Difference-In-Differences Methods in Public Finance." National Tax Journal 68, no. 2 (2015): 319–38. http://dx.doi.org/10.17310/ntj.2015.2.04.

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16

Deng, Wei, Nan Xu, Haotian Li, Fangyao Liu, and Yong Shi. "Difference in Differences in Marketing Performance Measurement." Procedia Computer Science 162 (2019): 275–80. http://dx.doi.org/10.1016/j.procs.2019.11.285.

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17

Qin, Jing, and and Biao Zhang. "Empirical-likelihood-based difference-in-differences estimators." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 70, no. 2 (2008): 329–49. http://dx.doi.org/10.1111/j.1467-9868.2007.00638.x.

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18

Wei, Yuqin, Matthew Epland, and Jingyuan (Hannah) Liu. "Inverse Probability Weighting Difference-in-Differences (IPWDID)." Observational Studies 9, no. 3 (2023): 73–81. http://dx.doi.org/10.1353/obs.2023.0027.

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19

Kotyrlo, Elena. "Simple and complex difference-in-differences approach." Applied Econometrics 73, no. 1 (2024): 119–42. http://dx.doi.org/10.22394/1993-7601-2024-73-119-142.

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The paper presents extensions of the popular difference‐in‐differences approach (DD) from 2×2 design on multiple time‐period, multiple groups, fuzzy DD, non‐staggered treatment and approaches to measure distributional treatment effect. The paper describes assumptions for consistent estimation of the treatment effect by two‐way fixed effects model (TWFE) and presents the problem leading to inconsistent estimates justifying the application of alternative estimators. The paper briefly introduces methods developing DD for multiple‐period multiple‐group cases based on TWFE and alternative approache

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20

Jeong, ImShik. "Analysis of the Impact of Industrial Crisis and Employment Crisis Support Policies on Local Labour Markets: Applying SDID(Synthetic Difference in Differences)." Korean Journal of Industrial Relations 34, no. 4 (2024): 67–91. https://doi.org/10.37926/kjir.2024.12.34.4.67.

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21

Washam, Cynthia. "Gender Differences Can Make a Difference in Caregiving." Oncology Times 34, no. 1 (2012): 9–10. http://dx.doi.org/10.1097/01.cot.0000410893.25907.45.

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22

Schumacker, Randall, and Todd Sherron. "Difference-in-Differences Regression Model and Comparable Methods." General Linear Model Journal 48, no. 1 (2024): 29–40. https://doi.org/10.31523/glmj.04801.003.

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23

Normington, James P., Eric F. Lock, Thomas A. Murray, and Caroline S. Carlin. "Bayesian variable selection in hierarchical difference-in-differences models." Statistical Methods in Medical Research 31, no. 1 (2021): 169–83. http://dx.doi.org/10.1177/09622802211051087.

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A popular method for estimating a causal treatment effect with observational data is the difference-in-differences model. In this work, we consider an extension of the classical difference-in-differences setting to the hierarchical context in which data cannot be matched at the most granular level. Our motivating example is an application to assess the impact of primary care redesign policy on diabetes outcomes in Minnesota, in which the policy is administered at the clinic level and individual outcomes are not matched from pre- to post-intervention. We propose a Bayesian hierarchical differen

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24

Athey, Susan, and Guido W. Imbens. "Identification and Inference in Nonlinear Difference-in-Differences Models." Econometrica 74, no. 2 (2006): 431–97. http://dx.doi.org/10.1111/j.1468-0262.2006.00668.x.

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25

Tchetgen Tchetgen, Eric J., Chan Park, and David B. Richardson. "Universal Difference-in-Differences for Causal Inference in Epidemiology." Epidemiology 35, no. 1 (2023): 16–22. http://dx.doi.org/10.1097/ede.0000000000001676.

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Difference-in-differences is undoubtedly one of the most widely used methods for evaluating the causal effect of an intervention in observational (i.e., nonrandomized) settings. The approach is typically used when pre- and postexposure outcome measurements are available, and one can reasonably assume that the association of the unobserved confounder with the outcome has the same absolute magnitude in the two exposure arms and is constant over time; a so-called parallel trends assumption. The parallel trends assumption may not be credible in many practical settings, for example, if the outcome

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26

Shim, Jae-sun, and Hohyun Kim. "Impacts of the 52-hour Workweek Policy on Employment and Labor Productivity of Listed Firms Using the Difference-in-differences Method." Productivity Review 34, no. 4 (2020): 197–224. http://dx.doi.org/10.15843/kpapr.34.4.2020.12.197.

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27

Lee, Jinhyung, and Sung J. Choi. "Hospital Productivity After Data Breaches: Difference-in-Differences Analysis." Journal of Medical Internet Research 23, no. 7 (2021): e26157. http://dx.doi.org/10.2196/26157.

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Background Data breaches are an inevitable risk to hospitals operating with information technology. The financial costs associated with data breaches are also growing. The costs associated with a data breach may divert resources away from patient care, thus negatively affecting hospital productivity. Objective After a data breach, the resulting regulatory enforcement and remediation are a shock to a hospital’s patient care delivery. Exploiting this shock, this study aimed to investigate the association between hospital data breaches and productivity by using a generalized difference-in-differe

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28

Chang, Neng-Chieh. "Double/debiased machine learning for difference-in-differences models." Econometrics Journal 23, no. 2 (2020): 177–91. http://dx.doi.org/10.1093/ectj/utaa001.

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Summary This paper provides an orthogonal extension of the semiparametric difference-in-differences estimator proposed in earlier literature. The proposed estimator enjoys the so-called Neyman orthogonality (Chernozhukov et al., 2018), and thus it allows researchers to flexibly use a rich set of machine learning methods in the first-step estimation. It is particularly useful when researchers confront a high-dimensional data set in which the number of potential control variables is larger than the sample size and the conventional nonparametric estimation methods, such as kernel and sieve estima

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29

Donald, Stephen G., and Kevin Lang. "Inference with Difference-in-Differences and Other Panel Data." Review of Economics and Statistics 89, no. 2 (2007): 221–33. http://dx.doi.org/10.1162/rest.89.2.221.

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30

Fins, Joseph J., and Nicholas D. Schiff. "Differences That Make a Difference in Disorders of Consciousness." AJOB Neuroscience 8, no. 3 (2017): 131–34. http://dx.doi.org/10.1080/21507740.2017.1380728.

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31

Simmons, Sabrina, and Zachary Estes. "Individual differences in the perception of similarity and difference." Cognition 108, no. 3 (2008): 781–95. http://dx.doi.org/10.1016/j.cognition.2008.07.003.

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32

Suh, JinHyeong, Hwan Chung, ChunHan Cho, and Juyoung Kim. "A Comparative Study of Difference-in-Differences (DID), Synthetic Control Method (SCM), Synthetic Difference-in-Differences (SDID): Effects of Early-Morning Delivery." Journal of Channel and Retailing 29, no. 4 (2024): 121–48. http://dx.doi.org/10.17657/jcr.2024.10.31.6.

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33

Puhani, Patrick A. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models." Economics Letters 115, no. 1 (2012): 85–87. http://dx.doi.org/10.1016/j.econlet.2011.11.025.

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34

Selvin, Elizabeth. "Are There Clinical Implications of Racial Differences in HbA1c? A Difference, to Be a Difference, Must Make a Difference." Diabetes Care 39, no. 8 (2016): 1462–67. http://dx.doi.org/10.2337/dc16-0042.

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35

Baker, Andrew C., David F. Larcker, and Charles C. Y. Wang. "How much should we trust staggered difference-in-differences estimates?" Journal of Financial Economics 144, no. 2 (2022): 370–95. http://dx.doi.org/10.1016/j.jfineco.2022.01.004.

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36

Stokes, Jonathan, Søren Rud Kristensen, Kath Checkland, and Peter Bower. "Effectiveness of multidisciplinary team case management: difference-in-differences analysis." BMJ Open 6, no. 4 (2016): e010468. http://dx.doi.org/10.1136/bmjopen-2015-010468.

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37

Fricke, Hans. "Identification Based on Difference-in-Differences Approaches with Multiple Treatments." Oxford Bulletin of Economics and Statistics 79, no. 3 (2017): 426–33. http://dx.doi.org/10.1111/obes.12178.

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38

Villa, Juan M. "Diff: Simplifying the Estimation of Difference-in-differences Treatment Effects." Stata Journal: Promoting communications on statistics and Stata 16, no. 1 (2016): 52–71. http://dx.doi.org/10.1177/1536867x1601600108.

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39

Lewin, Catharina, and Agneta Herlitz. "Sex differences in face recognition—Women’s faces make the difference." Brain and Cognition 50, no. 1 (2002): 121–28. http://dx.doi.org/10.1016/s0278-2626(02)00016-7.

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40

Canary, Daniel J., and Istley Melody MacGregor. "Differences That Make a Difference in Assessing Student Communication Competence." Communication Education 57, no. 1 (2008): 41–63. http://dx.doi.org/10.1080/03634520701635133.

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41

유지영. "The Earned Income Tax Credit:Analysis using Difference-in-Differences Method." Social Welfare Policy ll, no. 31 (2007): 261–86. http://dx.doi.org/10.15855/swp.2007..31.261.

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42

Turnage, Janet J. "Individual Differences Make a Difference in Systems Research Symposium Abstract." Proceedings of the Human Factors Society Annual Meeting 32, no. 16 (1988): 1000. http://dx.doi.org/10.1177/154193128803201601.

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43

Aistov, Andrey, and Bernardo Spagnolo. "Time distributed difference-in-differences estimates of return to training." Cogent Economics & Finance 5, no. 1 (2017): 1300978. http://dx.doi.org/10.1080/23322039.2017.1300978.

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44

MacKinnon, James G., and Matthew D. Webb. "Randomization inference for difference-in-differences with few treated clusters." Journal of Econometrics 218, no. 2 (2020): 435–50. http://dx.doi.org/10.1016/j.jeconom.2020.04.024.

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45

Henderson, Daniel J., and Stefan Sperlich. "A Complete Framework for Model-Free Difference-in-Differences Estimation." Foundations and Trends® in Econometrics 12, no. 3 (2023): 232–323. http://dx.doi.org/10.1561/0800000046.

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46

Dube, Arindrajit, Daniele Girardi, Òscar Jordà, and Alan M. Taylor. "A Local Projections Approach to Difference-in-Differences Event Studies." Federal Reserve Bank of San Francisco, Working Paper Series 2023, no. 12 (2023): 01–56. http://dx.doi.org/10.24148/wp2023-12.

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Many of the challenges in the estimation of dynamic heterogeneous treatment effects can be resolved with local projection (LP) estimators of the sort used in applied macroeconometrics. This approach provides a convenient alternative to the more complicated solutions proposed in the recent literature on Difference in-Differences (DiD). The key is to combine LPs with a flexible ‘clean control’ condition to define appropriate sets of treated and control units. Our proposed LP-DiD estimator is clear, simple, easy and fast to compute, and it is transparent and flexible in its handling of treated an

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47

Glynn, Adam, and Nahomi Ichino. "Generalized Nonlinear Difference-in-Difference-in-Differences." SSRN Electronic Journal, 2019. http://dx.doi.org/10.2139/ssrn.3410888.

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48

Li, Kathleen, and Christophe Van den Bulte. "Augmented Difference-in-Differences." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4137460.

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49

Li, Kathleen T., and Christophe Van den Bulte. "Augmented Difference-in-Differences." Marketing Science, October 13, 2022. http://dx.doi.org/10.1287/mksc.2022.1406.

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50

Ye, Ting, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small. "Instrumented difference‐in‐differences." Biometrics, October 27, 2022. http://dx.doi.org/10.1111/biom.13783.

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