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 Papers will not be published until authors have submitted these files.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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31 to 40 of 8,469 Results
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
ZIP Archive - 23.9 KB - MD5: f2554c64cdd08ca961e7491e05cdf877
Stata Syntax - 954 B - MD5: 04bd7d80e73a1d5fd3fbb31490701748
MS Word - 36.0 KB - MD5: 923d2d2105ea9856ac229dcba48e098f
May 15, 2025
Janzen, Benedikt, 2025, "Replication Data for: Temperature and Mental Health: Evidence from Helpline Calls", https://doi.org/10.7910/DVN/FTLFEI, Harvard Dataverse, V1
This replication package includes data (excluding confidential data) and R code necessary to reproduce the results presented in the paper titled "Temperature and Mental Health: Evidence from Helpline Calls" by Benedikt Janzen.
ZIP Archive - 57.0 MB - MD5: 512dee3dab8509683ce7709c98e632a2
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