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 Papers will not be published until authors have submitted these files.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

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.

241 to 250 of 270 Results

Replication Data for: CRIME IS IN THE AIR: THE CONTEMPORANEOUS RELATIONSHIP BETWEEN AIR POLLUTION AND CRIME Oct 31, 2019 Sager, Lutz; Roth, Sefi; Bondy, Malvina, 2019, "Replication Data for: CRIME IS IN THE AIR: THE CONTEMPORANEOUS RELATIONSHIP BETWEEN AIR POLLUTION AND CRIME", https://doi.org/10.7910/DVN/RMMITA, Harvard Dataverse, V1, UNF:6:PkMIGteJhSswujsryBIhAg== [fileUNF] This replication archive contains the programs used to generate Figures and Tables in the manuscript "CRIME IS IN THE AIR: THE CONTEMPORANEOUS RELATIONSHIP BETWEEN AIR POLLUTION AND CRIME". The archive contains: (1) Readme File, (2) Stata Program, (3) Data File.
Replication Data for: A Mixed Bag: The Hidden Time Costs of Regulating Consumer Behavior Oct 25, 2019 Taylor, Rebecca L. C., 2019, "Replication Data for: A Mixed Bag: The Hidden Time Costs of Regulating Consumer Behavior", https://doi.org/10.7910/DVN/7ICV6Y, Harvard Dataverse, V1 The non-monetary costs consumers experience from regulations are challenging to quantify, and thus easily overlooked. Using quasi-experimental policy variation and high-frequency supermarket data, this paper identifies previously hidden time costs from policies that ban or tax the use of disposable carryout bags. Bag policies disrupt checkout proce...
Replication Data for: Jeuland et al. "Preferences and the effectiveness of behavior-change interventions: Evidence from adoption of improved cookstoves in India" Oct 19, 2019 Jeuland, Marc; Pattanayak, Subhrendu; Tan Soo, Jie Sheng; Usmani, Faraz, 2019, "Replication Data for: Jeuland et al. "Preferences and the effectiveness of behavior-change interventions: Evidence from adoption of improved cookstoves in India"", https://doi.org/10.7910/DVN/HKKZ1D, Harvard Dataverse, V1, UNF:6:JmYLlWl/spSxbgUoxcFRIQ== [fileUNF] This dataset includes all data used in the analysis described in Jeuland et al. "Preferences and the effectiveness of behavior-change interventions: Evidence from adoption of improved cookstoves in India". The datasets conjoint_mixlogitfinal.dta and JAERE_data.dta are in STATA format and are called by the STATA do-file replications_stata_final.do,...
Replication Data for: Demand for off-grid solar electricity – Experimental evidence from Rwanda Oct 9, 2019 Peters, Jörg; Lenz, Luciane; Sievert, Maximiliane; Grimm, Michael, 2019, "Replication Data for: Demand for off-grid solar electricity – Experimental evidence from Rwanda", https://doi.org/10.7910/DVN/KSYM2T, Harvard Dataverse, V1, UNF:6:e4XIdMssTZduaSKrLW43wg== [fileUNF] This is primary, experimental data collected by the authors in Rwanda in 2015. The experiment randomly assigned payment schemes to 323 households and offered three types of solar kits for purchase using a Becker-DeGroot-Marschak auction design.The dataset includes information on WTP, purchase information and household-level variables. The DoFile ge...
Replication Data for: Even the Representative Agent Must Die: Using Demographics to Inform Long-Term Social Discount Rates Oct 9, 2019 Addicott, Ethan T.; Fenichel, Eli P.; Kotchen, Matthew J., 2019, "Replication Data for: Even the Representative Agent Must Die: Using Demographics to Inform Long-Term Social Discount Rates", https://doi.org/10.7910/DVN/DJGIHW, Harvard Dataverse, V1 Python 2 script and associated demographic data to calculate the utility discount rate by country. The data are derived from the World Health Organization's Global Health Observatory country-specific life tables and the United Nations Population Division country-specific population estimates. (2019-10-07)
Replication Data for: Behavioral drivers or economic incentives? Toward a better understanding of elicitation effects in stated preference studies Sep 30, 2019 Vossler, Christian, 2019, "Replication Data for: Behavioral drivers or economic incentives? Toward a better understanding of elicitation effects in stated preference studies", https://doi.org/10.7910/DVN/D4PHZD, Harvard Dataverse, V1, UNF:6:bx/HBp02yJku+QzkfuMO8Q== [fileUNF] This data set is being submitted to allow replication of results presented in the referenced publication.
Replication Data for: The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate Sep 16, 2019 Dundas, Steven J.; von Haefen, Roger H., 2019, "Replication Data for: The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate", https://doi.org/10.7910/DVN/0SXOP2, Harvard Dataverse, V1 Data and code to replicate the main results (tables and figures) in the paper, Included is a single zipped file (using 7zip) with code in GAUSS and Stata and survey and climate data needed to replicate our site choice and participation models and climate simulation results. A 'Readme' pdf is included with instruction on which code to run to produce...
Replication Data for Evaluating Voluntary Environmental Programs with Spillover Effects Aug 13, 2019 Zhou, Rong; Bi, Xiang; Segerson, Kathleen, 2019, "Replication Data for Evaluating Voluntary Environmental Programs with Spillover Effects", https://doi.org/10.7910/DVN/JA7WH6, Harvard Dataverse, V1, UNF:6:X3mpyYB0fSHyBHE9a8S/gw== [fileUNF] Included are a 'read-me' file, five replication files (1 Stata do file and 4 Matlab codes), and datasets. The datasets used in the analysis comprise annual facility-level data for TRI facilities across 11 industry categories. Refer to 'readme' file for detailed data sources and replication. Refer to Stata do file for the code flow.
Replication Data for: Does Resource Ownership Matter? Oil and Gas Royalties and the Income Effect of Extraction Aug 12, 2019 Brown, Jason P; Fitzgerald, Timothy; Weber, Jeremy G, 2019, "Replication Data for: Does Resource Ownership Matter? Oil and Gas Royalties and the Income Effect of Extraction", https://doi.org/10.7910/DVN/LYC6IJ, Harvard Dataverse, V2, UNF:6:OnTXYYmKN9Azk9SjK6fHrw== [fileUNF] Code and data to produce final results. There are two sets of code and data to produce the results in the paper.
Replication Code for: The Power of Mandatory Quality Disclosure: Evidence from the German Housing Market Aug 10, 2019 Gerster, Andreas; Frondel, Manuel; Vance, Colin, 2019, "Replication Code for: The Power of Mandatory Quality Disclosure: Evidence from the German Housing Market", https://doi.org/10.7910/DVN/JBOGC9, Harvard Dataverse, V1 The two data sets used in the analysis comprise listing prices and housing characteristics from the German real estate platform Immobilienscout24 as well as transaction prices and housing characteristics for houses sold in Berlin between January 2013 to October 2015.

Replication Data for: CRIME IS IN THE AIR: THE CONTEMPORANEOUS RELATIONSHIP BETWEEN AIR POLLUTION AND CRIME

Oct 31, 2019

Sager, Lutz; Roth, Sefi; Bondy, Malvina, 2019, "Replication Data for: CRIME IS IN THE AIR: THE CONTEMPORANEOUS RELATIONSHIP BETWEEN AIR POLLUTION AND CRIME", https://doi.org/10.7910/DVN/RMMITA, Harvard Dataverse, V1, UNF:6:PkMIGteJhSswujsryBIhAg== [fileUNF]

This replication archive contains the programs used to generate Figures and Tables in the manuscript "CRIME IS IN THE AIR: THE CONTEMPORANEOUS RELATIONSHIP BETWEEN AIR POLLUTION AND CRIME". The archive contains: (1) Readme File, (2) Stata Program, (3) Data File.

Replication Data for: A Mixed Bag: The Hidden Time Costs of Regulating Consumer Behavior

Oct 25, 2019

Taylor, Rebecca L. C., 2019, "Replication Data for: A Mixed Bag: The Hidden Time Costs of Regulating Consumer Behavior", https://doi.org/10.7910/DVN/7ICV6Y, Harvard Dataverse, V1

The non-monetary costs consumers experience from regulations are challenging to quantify, and thus easily overlooked. Using quasi-experimental policy variation and high-frequency supermarket data, this paper identifies previously hidden time costs from policies that ban or tax the use of disposable carryout bags. Bag policies disrupt checkout proce...

Replication Data for: Jeuland et al. "Preferences and the effectiveness of behavior-change interventions: Evidence from adoption of improved cookstoves in India"

Oct 19, 2019

Jeuland, Marc; Pattanayak, Subhrendu; Tan Soo, Jie Sheng; Usmani, Faraz, 2019, "Replication Data for: Jeuland et al. "Preferences and the effectiveness of behavior-change interventions: Evidence from adoption of improved cookstoves in India"", https://doi.org/10.7910/DVN/HKKZ1D, Harvard Dataverse, V1, UNF:6:JmYLlWl/spSxbgUoxcFRIQ== [fileUNF]

This dataset includes all data used in the analysis described in Jeuland et al. "Preferences and the effectiveness of behavior-change interventions: Evidence from adoption of improved cookstoves in India". The datasets conjoint_mixlogitfinal.dta and JAERE_data.dta are in STATA format and are called by the STATA do-file replications_stata_final.do,...

Replication Data for: Demand for off-grid solar electricity – Experimental evidence from Rwanda

Oct 9, 2019

Peters, Jörg; Lenz, Luciane; Sievert, Maximiliane; Grimm, Michael, 2019, "Replication Data for: Demand for off-grid solar electricity – Experimental evidence from Rwanda", https://doi.org/10.7910/DVN/KSYM2T, Harvard Dataverse, V1, UNF:6:e4XIdMssTZduaSKrLW43wg== [fileUNF]

This is primary, experimental data collected by the authors in Rwanda in 2015. The experiment randomly assigned payment schemes to 323 households and offered three types of solar kits for purchase using a Becker-DeGroot-Marschak auction design.The dataset includes information on WTP, purchase information and household-level variables. The DoFile ge...

Replication Data for: Even the Representative Agent Must Die: Using Demographics to Inform Long-Term Social Discount Rates

Oct 9, 2019

Addicott, Ethan T.; Fenichel, Eli P.; Kotchen, Matthew J., 2019, "Replication Data for: Even the Representative Agent Must Die: Using Demographics to Inform Long-Term Social Discount Rates", https://doi.org/10.7910/DVN/DJGIHW, Harvard Dataverse, V1

Python 2 script and associated demographic data to calculate the utility discount rate by country. The data are derived from the World Health Organization's Global Health Observatory country-specific life tables and the United Nations Population Division country-specific population estimates. (2019-10-07)

Replication Data for: Behavioral drivers or economic incentives? Toward a better understanding of elicitation effects in stated preference studies

Sep 30, 2019

Vossler, Christian, 2019, "Replication Data for: Behavioral drivers or economic incentives? Toward a better understanding of elicitation effects in stated preference studies", https://doi.org/10.7910/DVN/D4PHZD, Harvard Dataverse, V1, UNF:6:bx/HBp02yJku+QzkfuMO8Q== [fileUNF]

This data set is being submitted to allow replication of results presented in the referenced publication.

Replication Data for: The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate

Sep 16, 2019

Dundas, Steven J.; von Haefen, Roger H., 2019, "Replication Data for: The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate", https://doi.org/10.7910/DVN/0SXOP2, Harvard Dataverse, V1

Data and code to replicate the main results (tables and figures) in the paper, Included is a single zipped file (using 7zip) with code in GAUSS and Stata and survey and climate data needed to replicate our site choice and participation models and climate simulation results. A 'Readme' pdf is included with instruction on which code to run to produce...

Replication Data for Evaluating Voluntary Environmental Programs with Spillover Effects

Aug 13, 2019

Zhou, Rong; Bi, Xiang; Segerson, Kathleen, 2019, "Replication Data for Evaluating Voluntary Environmental Programs with Spillover Effects", https://doi.org/10.7910/DVN/JA7WH6, Harvard Dataverse, V1, UNF:6:X3mpyYB0fSHyBHE9a8S/gw== [fileUNF]

Included are a 'read-me' file, five replication files (1 Stata do file and 4 Matlab codes), and datasets. The datasets used in the analysis comprise annual facility-level data for TRI facilities across 11 industry categories. Refer to 'readme' file for detailed data sources and replication. Refer to Stata do file for the code flow.

Replication Data for: Does Resource Ownership Matter? Oil and Gas Royalties and the Income Effect of Extraction

Aug 12, 2019

Brown, Jason P; Fitzgerald, Timothy; Weber, Jeremy G, 2019, "Replication Data for: Does Resource Ownership Matter? Oil and Gas Royalties and the Income Effect of Extraction", https://doi.org/10.7910/DVN/LYC6IJ, Harvard Dataverse, V2, UNF:6:OnTXYYmKN9Azk9SjK6fHrw== [fileUNF]

Code and data to produce final results. There are two sets of code and data to produce the results in the paper.

Replication Code for: The Power of Mandatory Quality Disclosure: Evidence from the German Housing Market

Aug 10, 2019

Gerster, Andreas; Frondel, Manuel; Vance, Colin, 2019, "Replication Code for: The Power of Mandatory Quality Disclosure: Evidence from the German Housing Market", https://doi.org/10.7910/DVN/JBOGC9, Harvard Dataverse, V1

The two data sets used in the analysis comprise listing prices and housing characteristics from the German real estate platform Immobilienscout24 as well as transaction prices and housing characteristics for houses sold in Berlin between January 2013 to October 2015.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications