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 Papers will not be published until authors have submitted these files.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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211 to 220 of 270 Results
Replication Data for Hurricanes and Gasoline Price Gouging
Oct 26, 2020
Lade, Gabriel; Beatty, Timothy; Shimshack, Jay, 2020, "Replication Data for Hurricanes and Gasoline Price Gouging", https://doi.org/10.7910/DVN/TRN819, Harvard Dataverse, V1
These files provide code to replicate results from the paper “Hurricanes and Gasoline Price Gouging” published in the Journal of the Association of Environmental and Resource Economists. All retail and wholesale gasoline price data are proprietary and were purchased from the Oil Price Information Service (OPIS).
Environmental risk and the anchoring role of mobility rigidities
Oct 5, 2020
Zylberberg, Yanos; Coulomb, Renaud, 2020, "Environmental risk and the anchoring role of mobility rigidities", https://doi.org/10.7910/DVN/T3EKIX, Harvard Dataverse, V1, UNF:6:1Kku+x54gIaX3MRBGJhO7g== [fileUNF]
Replication data for "Environmental risk and the anchoring role of mobility rigidities" (Stata codes, and Stata files compatible with version 14 and above).
Replication Data for: Title Comfort and Preferences for Shared Transit
Sep 24, 2020
LaRiviere, Jacob, 2020, "Replication Data for: Title Comfort and Preferences for Shared Transit", https://doi.org/10.7910/DVN/R99Y4S, Harvard Dataverse, V1
This contains code used for each table in the paper as Jupyter Notebooks. It also contains detailed code and documentation for the wild bootstrap implementation we used to construct standard errors in the paper (also on Github: https://github.com/jdthorpe/clusterSEs/blob/master/R/clusterwild.glm.R). The data itself is not available unless we are gi...
Replication Data for: Community Pressure and the Spatial Redistribution of Pollution: The Relocation of Toxic Releasing Facilities
Sep 14, 2020
Wang, Xiao; Deltas, George; Khanna, Madhu; Bi, Xiang, 2020, "Replication Data for: Community Pressure and the Spatial Redistribution of Pollution: The Relocation of Toxic Releasing Facilities", https://doi.org/10.7910/DVN/VIJJK8, Harvard Dataverse, V1, UNF:6:gKDpFbd1N0Yow6CS3f2ETg== [fileUNF]
Replication data for "Community Pressure and the Spatial Redistribution of Pollution: The Relocation of Toxic Releasing Facilities" (2020-09-13)
Replication Data for: Particle Pollution and Cognition: Evidence from Sensitive Cognitive Tests in Brazil
Sep 10, 2020
Restrepo, Brandon; Nakaguma, Marcos; Rieger, Matthias; Bedi, Arjun, 2020, "Replication Data for: Particle Pollution and Cognition: Evidence from Sensitive Cognitive Tests in Brazil", https://doi.org/10.7910/DVN/QJUPHO, Harvard Dataverse, V1, UNF:6:Epgn7zUjIbbrUHGHuQFOXg== [fileUNF]
These are the data sets to replicate results in "Particle Pollution and Cognition: Evidence from Sensitive Cognitive Tests in Brazil"
Replication Data for: The Role of Party Affliation, Lobbying and Electoral Incentives in Decentralized U.S. State Support of the Environment
Sep 8, 2020
Curzi, Daniele; Alessandro; Gordon; Pacca, 2020, "Replication Data for: The Role of Party Affliation, Lobbying and Electoral Incentives in Decentralized U.S. State Support of the Environment", https://doi.org/10.7910/DVN/WRKLJZ, Harvard Dataverse, V1, UNF:6:W4ya9S6WxJC7oYJL8efWNg== [fileUNF]
Replication data for The Role of Party Affliation, Lobbying and Electoral Incentives in Decentralized U.S. State Support of the Environment
Replication Data for: The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics.
Sep 4, 2020
Sant'Anna, Pedro H. C.; Marcus, Michelle, 2020, "Replication Data for: The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics.", https://doi.org/10.7910/DVN/TXB0ZO, Harvard Dataverse, V1
Data and code for "The role of parallel trends in event study settings: An application to environmental economics", by Michelle Marcus and Pedro H. C. Sant'Anna. Look at the README file for details.
Measuring Heterogeneous Effects of Environmental Policies using Panel Data
Aug 29, 2020
Steigerwald, Doug; Vazquez-Bare, Gonzalo; Maier, Jason, 2020, "Measuring Heterogeneous Effects of Environmental Policies using Panel Data", https://doi.org/10.7910/DVN/RMJWFA, Harvard Dataverse, V1
This dataset is the replicatio file for the paper titled "Measuring Heterogeneous Effects of Environmental Policies usingPanel Data" written by Steigerwald, Vazquez-Bare, and Maier
Replication Data for An Age-structured Backward-bending Supply of Fish: Implications for Conservation of Bluefin Tuna
Aug 7, 2020
Smith, Martin; Li, Qingran; Bronnman, Julia; Karasik, Rachel; Quaas, Martin, 2020, "Replication Data for An Age-structured Backward-bending Supply of Fish: Implications for Conservation of Bluefin Tuna", https://doi.org/10.7910/DVN/P05A7V, Harvard Dataverse, V1
Contains data and Matlab code to replicate econometrics and calibration used to generate empirical and theoretical backward-bending supply curves.
Replication Data for: The Climate Risk Premium: How Uncertainty Affects the Social Cost of Carbon
Aug 3, 2020
Lemoine, Derek, 2020, "Replication Data for: The Climate Risk Premium: How Uncertainty Affects the Social Cost of Carbon", https://doi.org/10.7910/DVN/QFLZBH, Harvard Dataverse, V1
Matlab code for calculating the social cost of carbon under uncertainty.
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