This page contains replication data and code for the articles published in the Review of Economics and Statistics. Please notice that most articles in volumes previous to volume 92 were not subject to the journal's data availability policy.
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1 to 10 of 39,647 Results
Aug 4, 2025
Azoulay, Pierre; Furman, Jeffrey; Krieger, Joshua; Murray, Fiona, 2015, "Replication data for: Retractions", https://doi.org/10.7910/DVN/27626, Harvard Dataverse, V1, UNF:5:2Qq4Y8RSO6I6r44A6KmyPQ== [fileUNF]
Azoulay, Pierre, Furman, Jeffrey L., Krieger, Joshua L., and Murray, Fiona, (2015) "Retractions." Review of Economics and Statistics 97:5, 1118-1136.
Jun 26, 2025
Huttunen, Kristiina, 2025, "Replication data for: In Sickness and in Health: Job Displacement and Health Spillovers in Couples", https://doi.org/10.7910/DVN/TVLJFL, Harvard Dataverse, V2
Replication package (dofiles and instructions how to obtain data)
Jun 20, 2025
McKenzie, David; Groh, Matthew; Krishnan, Nandini; Vishwanath, Tara, 2015, "Replication Data for: Do Wage Subsidies Provide a Stepping Stone to Employment for Recent College Graduates? Evidence from a Randomized Experiment in Jordan", https://doi.org/10.7910/DVN/XJI9LO, Harvard Dataverse, V2, UNF:6:KKvkoYl6+C7N2gYXj5Cm9g== [fileUNF]
Groh, Matthew, Krishnan, Nandini, McKenzie, David, and Vishwanath, Tara, (2016) "Do Wage Subsidies Provide a Stepping Stone to Employment for Recent College Graduates? Evidence from a Randomized Experiment in Jordan." Review of Economics and Statistics 98:3, 488-502.
Tabular Data - 6.2 MB - 1420 Variables, 2322 Observations - UNF:6:Y4DziB3S5h1BYuX3OsfvsQ==
Survey data (Stata) [note updated June 2025 to remove a couple of variables that were potential PII)
Jun 12, 2025
Fernando, A. Nilesh; Singh, Niharika, 2025, "Replication Data for: Regulation by Reputation? Intermediaries, Labor Abuses, and International Migration", https://doi.org/10.7910/DVN/60YMMB, Harvard Dataverse, V1, UNF:6:BdTLVY9xP5cgc3Q1jbL9CQ== [fileUNF]
Review of Economics and Statistics: Forthcoming
Stata Syntax - 8.5 KB - MD5: be533413e650b55a50afda186a9446b3
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