Replication Data for: Distributional Equity in the Employment and Wage Impacts of Energy Transitions (doi:10.7910/DVN/DWKBDR)

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Document Description

Citation

Title:

Replication Data for: Distributional Equity in the Employment and Wage Impacts of Energy Transitions

Identification Number:

doi:10.7910/DVN/DWKBDR

Distributor:

Harvard Dataverse

Date of Distribution:

2024-07-03

Version:

1

Bibliographic Citation:

Gilbert, Ben; Hoen, Ben; Gagarin, Hannah, 2024, "Replication Data for: Distributional Equity in the Employment and Wage Impacts of Energy Transitions", https://doi.org/10.7910/DVN/DWKBDR, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication Data for: Distributional Equity in the Employment and Wage Impacts of Energy Transitions

Identification Number:

doi:10.7910/DVN/DWKBDR

Authoring Entity:

Gilbert, Ben (Colorado School of Mines)

Hoen, Ben (Lawrence Berkeley National Laboratory)

Gagarin, Hannah (Sandia National Laboratory)

Distributor:

Harvard Dataverse

Access Authority:

Gilbert, Ben

Depositor:

Gilbert, Benjamin

Date of Deposit:

2024-05-17

Holdings Information:

https://doi.org/10.7910/DVN/DWKBDR

Study Scope

Keywords:

Social Sciences, Wind power; equity; energy transition; employment; income

Abstract:

We describe the replication files and procedures for Distributional Equity in the Employment and Wage Impacts of Energy Transitions, by Ben Gilbert, Ben Hoen, and Hannah Gagarin for the Journal of the Association of Environmental and Resource Economists. Most of these programs must be run within a U.S. Census Federal Statistical Research Data Center by a researcher with access to the Longitudinal Employer Household Dynamics dataset and with permissions to perform such analyses. These programs (1) build longitudinal worker-level datasets (person-year panels) for analysis using the 2014 and 2021 Snapshots of the LEHD, with earnings and employment histories and wind project exposure (installed capacities) at various distances from a worker’s residence, and (2) run analyses on those datasets. <br><br> <b>[Note: Updated material is available at https://doi.org/10.7910/DVN/UKISED]</b>

Methodology and Processing

Sources Statement

Data Access

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