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Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Workforce Patterns and Income Disparities in a Growing US City

Authors: Berg, Aleksander; Howell, Anthony; Bagchi-Sen, Sharmistha;

Workforce Patterns and Income Disparities in a Growing US City

Abstract

Open data and code for Berg et al. "Workforce Patterns and Income Disparities in a Growing US City" Input data are from the U.S. Census Bureau's Public Use Microdata Sample (PUMS) and are in the public domain. Derivative data and code is published under a Creative Commons Attribution 4.0 International License. For attribution, please cite the article: Berg, A. K, Howell, A., Bagchi-Sen, S., Workforce Patterns and Income Disparities in a Growing US City. (2026). Journal of Economic Geography. https://doi.org/10.1093/jeg/lbaf071 Files and what they do: Code - contains all data cleaning, modeling, and visualization R code (run in this order). Data processed in R version 4.5.1. usa_io_2013.r - USA 2013 - contains code for counting total workers in each IO, data cleaning for shift share usa_io_2019.r - USA 2019 - contains code for counting total workers in each IO, data cleaning for shift share atl_io_2013.r - Atlanta 2013 - contains code for counting total workers in each IO, data cleaning for shift share atl_io_2019.r - Atlanta 2019 - contains code for counting total workers in each IO, LQ calculations for 2019, and data cleaning for shift share atl_shiftshare_lq.r - contains code for the classification of IO catagories based on shift share and lq atl_summarystats.r - contains code to create summary statistics tables summarystats_tests.r - contains code performing Chi-Square, Wilcoxon, and Welch two-sample tests for the Appendix atl_models.r - contains all model code Data - contains all input, working, and output data from the analysis inputs usa_pums_2013.csv - raw 1-year 2013 ACS PUMS files for the US, downloaded via the U.S. Census Bureaus FTP archive usa_pums_2019.csv - raw 1-year 2019 ACS PUMS files for the US, downloaded via the U.S. Census Bureaus FTP archive working - contains derivative files created during the analysis. See codebooks for details about generation outputs - contains output tables created automatically during the analysis. Some tables in the manuscript were created manually from tables in the "working" folder

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average