The Journal of the Association of Environmental and Resource Economists has implemented a policy to publish empirical papers only if the data and analysis are sufficiently documented to allow for replication. With few exceptions, as noted below, authors of papers accepted for publication will be required to post the following on this dataverse: 1. Code and programs that can be used for replication, 2. Dataset(s) used to run the final models, and 3. “Readme” files detailing how data and programs are combined to generate the final analysis. Such files should include a description of how intermediate data files were used to create the final dataset. Papers will not be published until authors have submitted these files. This policy took effect on July 1, 2017 and applies to all papers submitted on or after that date.
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1 to 10 of 270 Results
Jul 5, 2025
Wang, Jingjing, 2025, "Replication Data for: Sending Agricultural Water to The Salton Sea to Improve Public Health? An Integrated Agri-Hydro-Health Economic Analysis", https://doi.org/10.7910/DVN/NAHZBQ, Harvard Dataverse, V1
This replication package enables the replication of Figures and Tables in the paper.
Jul 5, 2025
Wang, Chunan; Ji, Qing; Zheng, Xiaoyong; Fan, Ying, 2025, "Replication Data for: Quantifying the Welfare Effects of Electric Vehicle Subsidies: Evidence from China", https://doi.org/10.7910/DVN/PISPQV, Harvard Dataverse, V1
Replication data, codes and relevant documents
Jul 5, 2025
Balmford, Ben, 2025, "Replication Data for: "Incentivising efficient effort when monitoring individuals is costly"", https://doi.org/10.7910/DVN/5EXJMZ, Harvard Dataverse, V1, UNF:6:bJURXJc7PqoIyhk4PFLXnQ== [fileUNF]
Provides data and code to replicate results
Jul 5, 2025
Böhringer, Christoph, 2025, "Replication Data for "The impact of sector coupling on climate policy regulations"", https://doi.org/10.7910/DVN/KLXMIR, Harvard Dataverse, V1
This file (Files4Repository.zip) contains all code required to replicate the results in the paper: Böhringer, C. and C. Helm "The impacts of sector coupling on climate policy"
Jul 2, 2025
Wilson, Daniel; Roth Tran, Brigitte, 2025, "Replication Data for: "The Local Impact of Natural Disasters"", https://doi.org/10.7910/DVN/TCPXLT, Harvard Dataverse, V2
This package contains Stata and R code as well as the data, excluding proprietary data, needed to replicate the regressions results and the figures from the study “The Local Impact of Natural Disasters,” by Brigitte Roth Tran and Daniel J. Wilson for the Journal of the Association of Environmental and Resource Economists. See README file for detail...
May 16, 2025
Wang, Wenjun; Houde, Sébastien, 2025, "Replication Data for: The Incidence of the U.S.-China Solar Trade War", https://doi.org/10.7910/DVN/1VMOTT, Harvard Dataverse, V1
Replication package for "The Incidence of the U.S.-China Solar Trade War" by Wenjun Wang and Sébastien Houde. The package includes data and code necessary to reproduce all tables and figures in the main text and online appendix.
May 15, 2025
Thakur, Prakrati, 2025, "Replication Data for: Global Impact of a Unilateral Waste Trade Regulation", https://doi.org/10.7910/DVN/PGJUNL, Harvard Dataverse, V1
This replication package describes the data and the programs needed to reproduce all tables and figures in the paper titled ``Global Impact of a Unilateral Waste Trade Regulation" by Prakrati Thakur
May 15, 2025
Katovich, Erik; Dominic Parker; Steven Poelhekke, 2025, "Replication Data for: Timing is Everything: Labor Market Winners and Losers during Boom-Bust Cycles", https://doi.org/10.7910/DVN/IBN5JH, Harvard Dataverse, V1
Replication package for "Timing is Everything: Labor Market Winners and Losers during Boom-Bust Cycles"
May 15, 2025
Yates, Andrew, 2025, "Replication Data for On the feasibility, costs, and benefits of an immediate phasedown of coal for U.S. electricity generation", https://doi.org/10.7910/DVN/UNHX5N, Harvard Dataverse, V1
This dataset enables the replication of Figures and Tables in the paper.
May 15, 2025
Whitnall, Sarah, 2025, "Replication Data for: Climate Change and Field-Level Crop Quality, Yield, and Revenue", https://doi.org/10.7910/DVN/3N9934, Harvard Dataverse, V1
Replication package for “Climate Change and Field-Level Crop Quality, Yield, and Revenue” by Sarah Whitnall and Timothy Beatty
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