New Area- and Population-based Geographic Crosswalks for U.S. Counties and Congressional Districts, 1790-2020

Principal Investigator(s): View help for Principal Investigator(s) Andreas Ferrara, University of Pittsburgh; Patrick A. Testa, Tulane University; Liyang Zhou, University of Pittsburgh

Version: View help for Version V4

Name	File Type	Size	Last Modified
crosswalks			02/09/2022 11:43:AM
replication-files			10/19/2022 10:15:PM
teaching-material			10/18/2021 09:26:AM
readme.pdf	Unknown	56.8 KB	10/19/2022 07:03:PM

Project Citation:

Ferrara, Andreas, Testa, Patrick A., and Zhou, Liyang. New Area- and Population-based Geographic Crosswalks for U.S. Counties and Congressional Districts, 1790-2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-10-19. https://doi.org/10.3886/E150101V4

Project Description

Summary: A common problem in applied research involves harmonizing geographic units across time or different levels of aggregation. We provide crosswalks that allow researchers i) to harmonize U.S. county boundaries over time across Census decades and ii) to generate congressional district level variables from county-level data. The crosswalks include an area-based approach as in Hornbeck (2010), as well as the new population-based methods from Ferrara, Testa, and Zhou (2021), which are based on granular sub-county population information. We also provide teaching material to demonstrate the utility of these new crosswalks.

Reference:
Ferrara, A., Testa, P.A., and Zhou, L. (2022) "New Area- and Population-based Geographic Crosswalks for U.S. Counties and Congressional Districts, 1790-2020", SSRN working paper: https://dx.doi.org/10.2139/ssrn.4019521

Scope of Project

Geographic Coverage: USA

Time Period(s): 1790 – 2020

Universe: U.S. counties and congressional districts

Data Type(s): geographic information system (GIS) data

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