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 Papers will not be published until authors have submitted these files.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.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

31 to 40 of 270 Results
Sep 30, 2024
Yu, Zhanhan; Shi, Ying, 2024, "Replication Data for: Heat and Productivity: Evidence From Flight On-Time Performance", https://doi.org/10.7910/DVN/FQLBB4, Harvard Dataverse, V1
The replication files for "Heat and Productivity: Evidence From Flight On-Time Performance" provide step-by-step instructions on how to reconstruct the tables and figures in the manuscript. Please refer to the README file for details on data sources, data descriptions, computational requirements, and replication instructions.
Sep 25, 2024
Lee, Goeun, 2024, "Replication Data for: Wildfires and Agricultural Worker Movement", https://doi.org/10.7910/DVN/UCRINS, Harvard Dataverse, V1
This is the data replication package associated with the article “Wildfires and Agricultural Worker Movement” by Goeun Lee and Timothy Beatty.
Sep 2, 2024
Stranlund, John; Wagner, Jeffrey, 2024, "Replication Data for: The Environmental Law and Economics of Hazardous Waste Management Regulations", https://doi.org/10.7910/DVN/ETZXWQ, Harvard Dataverse, V2
These notes describe how to reproduce the results reported in Footnote #9 of “The Environmental Law and Economics of Hazardous Waste Management Regulations” by John Stranlund and Jeffrey Wagner.
Aug 26, 2024
Dunkle Werner, Karl, 2024, "Replication Data for: Information Matters: Feasible Policies for Reducing Methane Emissions", https://doi.org/10.7910/DVN/DXED4C, Harvard Dataverse, V1, UNF:6:OAjse+Q4XXQqWl40hq4x4A== [fileUNF]
Replication Data for: Information Matters: Feasible Policies for Reducing Methane Emissions Includes code and public data. Some data cannot be shared publicly. See description of each file in README.md. Code is also available on github: https://github.com/karldw/paper_hard_to_measure_well Affiliations provided for identification purposes only. The...
Aug 21, 2024
Novan, Kevin, 2024, "Replication Data and Code for: Understanding the Inequality and Welfare Impacts of Carbon Tax Policies", https://doi.org/10.7910/DVN/1TEWQT, Harvard Dataverse, V1, UNF:6:pxP9JzfSLEyqEhflVmmb6g== [fileUNF]
These files provide the code to replicate the results in "Understanding the Inequality and Welfare Impacts of Carbon Tax Policies” published in the Journal of the Association of Environmental and Resource Economists.
Aug 19, 2024
Dorsey, Jackson; Wolfson, Derek, 2024, "Replication Data for: Unequal Uptake: Assessing Distributional Disparities in the Residential Solar Market", https://doi.org/10.7910/DVN/REKMDF, Harvard Dataverse, V1
This replication package constructs the estimation datasets, estimates the model, and then generates 9 figures and 19 tables from the main manuscript and the online appendix.
Aug 8, 2024
Callejas, Jeronimo; Joshua Linn; Jevgenijs Steinbuks, 2024, "Replication Data for: The Implications of Pre-Existing Market Power Distortions for Electric Vehicle Tax Policies: Evidence from Colombia", https://doi.org/10.7910/DVN/NWIGJK, Harvard Dataverse, V1, UNF:6:mtzHx0jbA91Z+yfEmAtSkw== [fileUNF]
This repository comprises a set of functions intended to facilitate the replication of the economic model employed in the paper titled "The Implications of Pre-Existing Market Power Distortions for Electric Vehicle Tax Policies: Evidence from Colombia." Note: Certain data crucial for replication has not been disclosed due to constraints imposed by...
Aug 6, 2024
Jarvis, Stephen, 2024, "Replication Data for: "The Economic Costs of NIMBYism: Evidence from Renewable Energy Projects"", https://doi.org/10.7910/DVN/H78DCE, Harvard Dataverse, V1, UNF:6:pVpE08bUq2WVTBlq5B5d1A== [fileUNF]
Replication package for "The Economic Costs of NIMBYism: Evidence from Renewable Energy Projects". Abstract: Large infrastructure projects have important social benefits, but can also prompt strong local opposition. I estimate the economic costs of NIMBY (Not In My Backyard) attitudes and local planning restrictions by studying renewable energy pro...
Aug 4, 2024
Rezai, Armon; van der Ploeg, Frederick; Tovar, Miguel, 2024, "Replication Data for: "Third-best carbon taxation: trading off emission cuts, equity, and efficiency”", https://doi.org/10.7910/DVN/6KVHNG, Harvard Dataverse, V1
Replication files for JAERE "Third-best carbon taxation: trading off emission cuts, equity, and efficiency”. Readme contains information on empirical estimation and numerical simulation procedure. Each of these is contained in separate .zip files.
Aug 1, 2024
Irene Jacqz; Johnston, Sarah, 2024, "Replication Data for: Electric Vehicle Subsidies and Urban Air Pollution Disparities", https://doi.org/10.7910/DVN/XKZRKS, Harvard Dataverse, V1
Replication code and publicly available data for "Electric Vehicle Subsidies and Urban Air Pollution Disparities." The analysis relies on vehicle registration data which is not provided. These data were purchased from IHS Markit or obtained from individual states; the README file provides information on how to obtain these data.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.