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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111 to 120 of 1,498 Results
Jul 31, 2024
Dinh, Viet Hoang; Nibbering, Didier; Wong, Benjamin, 2024, "Replication Data for: "Random subspace local projections"", https://doi.org/10.7910/DVN/WTO2V2, Harvard Dataverse, V2
The files provides data and code to replicate Dinh, Nibbering and Wong, "Random subspace local projections", Review of Economics and Statistics
Jul 29, 2024
Gutiérrez-Daza, Ángelo; Ballester, Miguel A.; Apesteguia, Jose, 2024, "Replication Data for: Random Discounted Expected Utility", https://doi.org/10.7910/DVN/N6F3WU, Harvard Dataverse, V1
Review of Economics and Statistics: Forthcoming.
Jul 29, 2024
CHIANG, HAROLD, 2024, "Replication Data to "Standard Errors for Two-Way Clustering with Serially Correlated Time Effects"", https://doi.org/10.7910/DVN/ZVSHZE, Harvard Dataverse, V1
This contains Replication Data to "Standard Errors for Two-Way Clustering with Serially Correlated Time Effects," accepted at the Review of Economics and Statistics
Jul 29, 2024
Starr, Evan, 2024, "Replication data for: Do firms value court enforceability of noncompete agreements? A revealed preference approach", https://doi.org/10.7910/DVN/QIF7JP, Harvard Dataverse, V1
These files include the data and programs required to replicate all figures and tables in Hiraiwa, Lipsitz, and Starr "Do firms value court enforceability of noncompete agreements? A revealed preference approach"
Jul 29, 2024
Cassidy, Traviss; Velayudhan, Tejaswi, 2024, "Replication data for: Government Fragmentation and Economic Growth", https://doi.org/10.7910/DVN/MTUG2N, Harvard Dataverse, V1
Replication data and code for "Government Fragmentation and Economic Growth."
Jul 15, 2024
Marshall, Guillermo; Lemus, Jorge, 2024, "Replication data for: Teamwork in Contests", https://doi.org/10.7910/DVN/4IO1JV, Harvard Dataverse, V1, UNF:6:V+c0HZbCpO1RzMGDzm6L4w== [fileUNF]
We study self-organized teams in dynamic contests. Using data from Kaggle, we document that teams outperform solo players, but few players choose to form teams. Every new team alters the composition of players, discouraging less productive solo players to make submissions. We estimate the structural parameters of a dynamic contest model, including...
Jun 21, 2024
Carlson, Alyssa, 2024, "Replication data for: Identification of a triangular random coefficient model using a correction function", https://doi.org/10.7910/DVN/YZTMUD, Harvard Dataverse, V1, UNF:6:UvEdceFozWEmK9zIIeEIDg== [fileUNF]
Review of Economics and Statistics: Forthcoming.
Jun 20, 2024
Malhotra, Madhav; Khandelwal, Amit; Macchiavello, Rocco; Teachout, Matthieu, 2024, "Replication Data for: Language Barriers in Multinationals and Knowledge Transfers", https://doi.org/10.7910/DVN/19D6PT, Harvard Dataverse, V1
Primary data, De-indentified.
Jun 17, 2024
Chen, Yunjie; Liu, Yongzheng; Wei, Hailun, 2024, "Replication Data for: The Unintended Consequences of Home-buying Restriction in China", https://doi.org/10.7910/DVN/3ZWJLB, Harvard Dataverse, V1
Review of Economics and Statistics: Forthcoming.
Jun 17, 2024
Hauser, Daniela; Cacciatore, Matteo; Gnocchi, Stefano, 2024, "Replication Data for: Time Use and Macroeconomic Uncertainty", https://doi.org/10.7910/DVN/6ZFAFP, Harvard Dataverse, V1, UNF:6:nwSLCozpBWoYPFi979YiOQ== [fileUNF]
Review of Economics and Statistics, Forthcoming
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