101 to 110 of 270 Results
May 30, 2023
Guignet, Dennis, 2023, "Replication Data for: Hazardous Waste and Home Values: An Analysis of Treatment and Disposal Sites in the U.S.", https://doi.org/10.7910/DVN/9CP4M4, Harvard Dataverse, V1
Data and code used to generate the primary (and some supplementary) tables and figures. Details can be found in the "ReadMe.txt" file. Note that the parcel and transaction data from Zillow's ZTRAX program and other sources are restricted/proprietary. Details for accessing those data can be found in the main paper. |
May 27, 2023
Gao, Xuwen; Song, Ran; Timmins, Christopher, 2023, "Replication Data for: The Fertility Consequences of Air Pollution in China", https://doi.org/10.7910/DVN/OQL6TZ, Harvard Dataverse, V1, UNF:6:tCR8JK/DC2ioSlQbsAXw/A== [fileUNF]
Replication Data for: The Fertility Consequences of Air Pollution in China |
May 27, 2023
Howlader, AH, 2023, "Replication Data for: Replication Data for "Environmental Recovery after the Dust Bowl: Implication of Land Policies in the Great Plains"", https://doi.org/10.7910/DVN/KUPALS, Harvard Dataverse, V1
Code and data for the replication of figures and tables in Environmental Recovery from the Dust Bowl. Readme file explains how the data can be used to do the analysis. (2023-05-23) |
May 25, 2023
Perez-Quesada, Gabriela; Hendricks, Nathan P.; Steward, David R., 2023, "Replication Data for: The Economic Cost of Groundwater Depletion in the High Plains Aquifer", https://doi.org/10.7910/DVN/N5RWFI, Harvard Dataverse, V1
Codes and data to replicate all results in "The Economic Cost of Groundwater Depletion in the High Plains Aquifer". Readme file explains how several intermediate data files are combined to create the final dataset and how the final results are generated. |
May 16, 2023
Zhang, Xin; Chen, Xi; Zhang, Xiaobo, 2023, "Replication Data for: Temperature and Low-stakes Cognitive Performance", https://doi.org/10.7910/DVN/84BTIB, Harvard Dataverse, V1
Codes and data to replicate all results in "Temperature and Low-stakes Cognitive Performance". Readme file explains how the final results are generated and how to apply for the confidential data. |
May 12, 2023
Lessmann, Kai; Kalkuhl, Matthias, 2023, "Replication Data for: Climate finance intermediation: interest spread effects in a climate policy model", https://doi.org/10.7910/DVN/BZSQBP, Harvard Dataverse, V1
Code and data for the replication of figures and tables in Climate finance intermediation. The model is coded in GAMS, post-processing scripts are written in R. It is recommended to download all files as a ZIP archive to maintain the folder structure, and to use GNU make to build the figures/tables, but see details for individual figures/tables in... |
May 2, 2023
Rubin, Edward; Auffhammer, Maximilian, 2023, "Replication Code: Quantifying Heterogeneity in the Price Elasticity of Residential Natural Gas", https://doi.org/10.7910/DVN/IP6B94, Harvard Dataverse, V1
This repository contains the code that supports our paper "Replication Code: Quantifying Heterogeneity in the Price Elasticity of Residential Natural Gas". |
Apr 24, 2023
Sheriff, Glenn, 2023, "Replication Data for: California’s GHG cap and trade program and the equity of air toxic releases", https://doi.org/10.7910/DVN/JTTQR6, Harvard Dataverse, V1
Code (Stata and Latex) and data to reproduce all Tables and Figures in article and online appendix. |
Apr 15, 2023
Bernedo Del Carpio, Maria, 2023, "Replication Data for Input Efficiency as a Solution to Externalities and Resource Scarcity: A Randomized Controlled Trial", https://doi.org/10.7910/DVN/CFR01G, Harvard Dataverse, V1, UNF:6:JHtZVUn1RHtCz9oFxiNYnQ== [fileUNF]
The file data.dta contains monthly water consumption data and survey variables used in the analysis. Estimations and calculations are done in Stata and Excel. Read Read-me.txt file for additional instructions. |
Apr 5, 2023
Heutel, Garth, 2023, "Replication Data for: Unemployment, Labor Mobility, and Climate Policy", https://doi.org/10.7910/DVN/GZPOZZ, Harvard Dataverse, V1
Code |