Journal of the Association of Environmental and Resource Economists Dataverse

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 Papers will not be published until authors have submitted these files.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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191 to 200 of 270 Results

Replication Data for: Estimating Consumer Substitution between New and Used Passenger Vehicles Jun 8, 2021 Leard, Benjamin, 2021, "Replication Data for: Estimating Consumer Substitution between New and Used Passenger Vehicles", https://doi.org/10.7910/DVN/NOHCDL, Harvard Dataverse, V1, UNF:6:wZ3hBgJzmggMVy+ZEtDjqw== [fileUNF] This includes a description and files for replicating the empirical results of the paper titled "Estimating Consumer Substitution between New and Used Passenger Vehicles." A portion of the results in the paper are based on proprietary data that are accessible through Resources for the Future. Contact the author to obtain access to these data.
Replication Data for: Interest Groups, Litigation, and Agency Decisions: Evidence from the Endangered Species Act Jun 8, 2021 Langpap, Christian, 2021, "Replication Data for: Interest Groups, Litigation, and Agency Decisions: Evidence from the Endangered Species Act", https://doi.org/10.7910/DVN/W6XAMD, Harvard Dataverse, V1, UNF:6:2P69FJpEaAjzDoMw1n5/sg== [fileUNF] Code and data run all models, as well as sensitivity analysis and robustness checks, and replicates all results in the paper.
Replication Code for: Automated Enforcement of Irrigation Regulations and Social Pressure for Water Conservation May 18, 2021 West, Jeremy, 2021, "Replication Code for: Automated Enforcement of Irrigation Regulations and Social Pressure for Water Conservation", https://doi.org/10.7910/DVN/BZWANC, Harvard Dataverse, V1 This study relies on proprietary administrative data on water use from a water utility in Southern California. Although the data are confidential and restricted-access, a request can be made to obtain the data from WaterSmart Software in San Francisco, CA (www.watersmart.com). Here, we provide all programming R-code files used in the analyses.
Heat Adaptation and Human Performance in a Warming Climate May 14, 2021 Sexton, Steven; Wang, Zhenxuan; Mullins, Jamie T., 2021, "Heat Adaptation and Human Performance in a Warming Climate", https://doi.org/10.7910/DVN/OLEOFH, Harvard Dataverse, V1 Replication data and code for "Heat Adaptation and Human Performance in a Warming Climate."
Replication Data for Non-Renewable Resource Prices and Consumption when Resources Are Essential and Costly May 3, 2021 Boyce, John, 2021, "Replication Data for Non-Renewable Resource Prices and Consumption when Resources Are Essential and Costly", https://doi.org/10.7910/DVN/RD7WTO, Harvard Dataverse, V1, UNF:6:iBrgYc7FUFDFljaPRwrs3A== [fileUNF] U.S. Patent Office data on Patents by Industry, 1963-2012 Source: https://www.uspto.gov/web/offices/ac/ido/oeip/taf/naics/naics_toc.htm
Replication Data for: Heterogeneous Solar Capacity Benefits, Appropriability, and the Costs of Suboptimal Siting Apr 10, 2021 Kirkpatrick, Justin; Sexton, Steven; Muller, Nicholas; Harris, Robert, 2021, "Replication Data for: Heterogeneous Solar Capacity Benefits, Appropriability, and the Costs of Suboptimal Siting", https://doi.org/10.7910/DVN/69JI12, Harvard Dataverse, V1, UNF:6:XgSe8rNBSLfa1gEg2M/Piw== [fileUNF] Replication Data for: Heterogeneous Solar Capacity Benefits, Appropriability, and the Costs of Suboptimal Siting
Replication Data for: The Effects of Air Pollution on Students’ Cognitive Performance: Evidence from Brazilian University Entrance Tests Apr 3, 2021 Carneiro, Juliana; Cole, Matthew A.; Strobl, Eric, 2021, "Replication Data for: The Effects of Air Pollution on Students’ Cognitive Performance: Evidence from Brazilian University Entrance Tests", https://doi.org/10.7910/DVN/BRCRS5, Harvard Dataverse, V1, UNF:6:qh9zcJmGR9a8GypBgSoLlg== [fileUNF] Replication Data for The Effects of Air Pollution on Students’ Cognitive Performance: Evidence from Brazilian University Entrance Tests (Forthcoming JAERE)
Replication Data for: Spatial Coordination and Joint Bidding in Conservation Auctions Mar 31, 2021 Cason, Timothy; Banerjee, Simanti; de Vries, Frans; Hanley, Nick, 2021, "Replication Data for: Spatial Coordination and Joint Bidding in Conservation Auctions", https://doi.org/10.7910/DVN/KSEM3K, Harvard Dataverse, V1, UNF:6:VVVSA64XswAZ6GmdbIUtbQ== [fileUNF] Data files and Stata .do files for analyzing data, as well as the zTree program for conducting the experiment
Replication Data for: Complementarity (Not Substitution) Between Natural and Produced Capital: Evidence from the Panama Canal Expansion Mar 29, 2021 Rouhi Rad, Mani; Adamowicz, Wiktor; Entem, Alicia; Fenichel, Eli; Lloyd-Smith, Patrick, 2021, "Replication Data for: Complementarity (Not Substitution) Between Natural and Produced Capital: Evidence from the Panama Canal Expansion", https://doi.org/10.7910/DVN/XRMOBD, Harvard Dataverse, V1, UNF:6:RjTzFygBKnu2LgtMpjHFiA== [fileUNF] This dataset provides input data for generating regression data used in the paper, regression data, data cleaning code, and STATA and R codes for regression tables and figures presented in the manuscript.
Directed Technical Change and the British Industrial Revolution Mar 22, 2021 Stern, David, 2021, "Directed Technical Change and the British Industrial Revolution", https://doi.org/10.7910/DVN/KJRUUF, Harvard Dataverse, V1 Files reproduce the simulations in the paper. Run DTC_CD_Normalized_Baseline_scr.m to reproduce the baseline simulation. Run DTC_CD_Normalized_Counterfactual_scr.m adjusting parameters as detailed in the file to reproduce the counterfactual simulations.

Replication Data for: Estimating Consumer Substitution between New and Used Passenger Vehicles

Jun 8, 2021

Leard, Benjamin, 2021, "Replication Data for: Estimating Consumer Substitution between New and Used Passenger Vehicles", https://doi.org/10.7910/DVN/NOHCDL, Harvard Dataverse, V1, UNF:6:wZ3hBgJzmggMVy+ZEtDjqw== [fileUNF]

This includes a description and files for replicating the empirical results of the paper titled "Estimating Consumer Substitution between New and Used Passenger Vehicles." A portion of the results in the paper are based on proprietary data that are accessible through Resources for the Future. Contact the author to obtain access to these data.

Replication Data for: Interest Groups, Litigation, and Agency Decisions: Evidence from the Endangered Species Act

Jun 8, 2021

Langpap, Christian, 2021, "Replication Data for: Interest Groups, Litigation, and Agency Decisions: Evidence from the Endangered Species Act", https://doi.org/10.7910/DVN/W6XAMD, Harvard Dataverse, V1, UNF:6:2P69FJpEaAjzDoMw1n5/sg== [fileUNF]

Code and data run all models, as well as sensitivity analysis and robustness checks, and replicates all results in the paper.

Replication Code for: Automated Enforcement of Irrigation Regulations and Social Pressure for Water Conservation

May 18, 2021

West, Jeremy, 2021, "Replication Code for: Automated Enforcement of Irrigation Regulations and Social Pressure for Water Conservation", https://doi.org/10.7910/DVN/BZWANC, Harvard Dataverse, V1

This study relies on proprietary administrative data on water use from a water utility in Southern California. Although the data are confidential and restricted-access, a request can be made to obtain the data from WaterSmart Software in San Francisco, CA (www.watersmart.com). Here, we provide all programming R-code files used in the analyses.

Heat Adaptation and Human Performance in a Warming Climate

May 14, 2021

Sexton, Steven; Wang, Zhenxuan; Mullins, Jamie T., 2021, "Heat Adaptation and Human Performance in a Warming Climate", https://doi.org/10.7910/DVN/OLEOFH, Harvard Dataverse, V1

Replication data and code for "Heat Adaptation and Human Performance in a Warming Climate."

Replication Data for Non-Renewable Resource Prices and Consumption when Resources Are Essential and Costly

May 3, 2021

Boyce, John, 2021, "Replication Data for Non-Renewable Resource Prices and Consumption when Resources Are Essential and Costly", https://doi.org/10.7910/DVN/RD7WTO, Harvard Dataverse, V1, UNF:6:iBrgYc7FUFDFljaPRwrs3A== [fileUNF]

U.S. Patent Office data on Patents by Industry, 1963-2012 Source: https://www.uspto.gov/web/offices/ac/ido/oeip/taf/naics/naics_toc.htm

Replication Data for: Heterogeneous Solar Capacity Benefits, Appropriability, and the Costs of Suboptimal Siting

Apr 10, 2021

Kirkpatrick, Justin; Sexton, Steven; Muller, Nicholas; Harris, Robert, 2021, "Replication Data for: Heterogeneous Solar Capacity Benefits, Appropriability, and the Costs of Suboptimal Siting", https://doi.org/10.7910/DVN/69JI12, Harvard Dataverse, V1, UNF:6:XgSe8rNBSLfa1gEg2M/Piw== [fileUNF]

Replication Data for: Heterogeneous Solar Capacity Benefits, Appropriability, and the Costs of Suboptimal Siting

Replication Data for: The Effects of Air Pollution on Students’ Cognitive Performance: Evidence from Brazilian University Entrance Tests

Apr 3, 2021

Carneiro, Juliana; Cole, Matthew A.; Strobl, Eric, 2021, "Replication Data for: The Effects of Air Pollution on Students’ Cognitive Performance: Evidence from Brazilian University Entrance Tests", https://doi.org/10.7910/DVN/BRCRS5, Harvard Dataverse, V1, UNF:6:qh9zcJmGR9a8GypBgSoLlg== [fileUNF]

Replication Data for The Effects of Air Pollution on Students’ Cognitive Performance: Evidence from Brazilian University Entrance Tests (Forthcoming JAERE)

Replication Data for: Spatial Coordination and Joint Bidding in Conservation Auctions

Mar 31, 2021

Cason, Timothy; Banerjee, Simanti; de Vries, Frans; Hanley, Nick, 2021, "Replication Data for: Spatial Coordination and Joint Bidding in Conservation Auctions", https://doi.org/10.7910/DVN/KSEM3K, Harvard Dataverse, V1, UNF:6:VVVSA64XswAZ6GmdbIUtbQ== [fileUNF]

Data files and Stata .do files for analyzing data, as well as the zTree program for conducting the experiment

Replication Data for: Complementarity (Not Substitution) Between Natural and Produced Capital: Evidence from the Panama Canal Expansion

Mar 29, 2021

Rouhi Rad, Mani; Adamowicz, Wiktor; Entem, Alicia; Fenichel, Eli; Lloyd-Smith, Patrick, 2021, "Replication Data for: Complementarity (Not Substitution) Between Natural and Produced Capital: Evidence from the Panama Canal Expansion", https://doi.org/10.7910/DVN/XRMOBD, Harvard Dataverse, V1, UNF:6:RjTzFygBKnu2LgtMpjHFiA== [fileUNF]

This dataset provides input data for generating regression data used in the paper, regression data, data cleaning code, and STATA and R codes for regression tables and figures presented in the manuscript.

Directed Technical Change and the British Industrial Revolution

Mar 22, 2021

Stern, David, 2021, "Directed Technical Change and the British Industrial Revolution", https://doi.org/10.7910/DVN/KJRUUF, Harvard Dataverse, V1

Files reproduce the simulations in the paper. Run DTC_CD_Normalized_Baseline_scr.m to reproduce the baseline simulation. Run DTC_CD_Normalized_Counterfactual_scr.m adjusting parameters as detailed in the file to reproduce the counterfactual simulations.

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