Using Geographic Information Systems to Study Interstate Competition (ICPSR 1323)

Published: Jan 31, 2006 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
William D. Berry, Florida State University; Brady Baybeck, University of Missouri--St. Louis

https://doi.org/10.3886/ICPSR01323.v1

Version V1

Scholars have proposed two distinct explanations for why policies diffuse across American states: (1) policymakers learn by observing the experiences of nearby states, and (2) states seek a competitive economic advantage over other states. The most common empirical approach for studying interstate influence is modeling an indicator of a state's policy choice as a function of its neighbors' policies, with each neighbor weighted equally. This can appropriately specify one form of learning model, but it does not adequately test for interstate competition: when a policy diffuses due to competition, states' responses to other states vary depending on the size and location of specific populations. The authors of this article illustrate with two substantive applications how geographic information systems (GIS) can be used to test for interstate competition. They find that lottery adoptions diffuse due to competition, rather than learning, but find no evidence of competition in state choices about welfare benefits. The authors' empirical approach can also be applied to competition among nations and local jurisdictions.

Berry, William D., and Baybeck, Brady. Using Geographic Information Systems to Study Interstate Competition. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2006-01-31. https://doi.org/10.3886/ICPSR01323.v1

Export Citation:

  • RIS (generic format for RefWorks, EndNote, etc.)
  • EndNote
Inter-university Consortium for Political and Social Research

(1) The files submitted are (a) berry-baybeck_unpublished_supplement_part1.pdf, download this file if you want the portion of the Unpublished Supplement to Berry and Baybeck (2005) that contains a more detailed description of the GIS measurement procedure employed, (b) berry-baybeck_unpublished_supplement_part2.pdf, download this file if you want the portion of the Unpublished Supplement to Berry and Baybeck (2005) that contains the supplementary statistical output cited in the text of the article, (c) berry-baybeck_replicate_econometric_models.zip, download this file if you wish to replicate the estimation of the econometric models reported in Berry and Baybeck (2005) and the Unpublished Supplement to the article. After downloading and unzipping, open readme.pdf first, (d) berry-baybeck_create_variables.zip, Download this file if you wish to replicate the construction of the geographic variables used in the econometric models reported in Berry and Baybeck (2005) and the Unpublished Supplement to the article. After downloading and unzipping, open readme.pdf first. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.

2006-01-31

2006-01-31

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Berry, William D., and Brady Baybeck. Using Geographic Information Systems to Study Interstate Competition. ICPSR01323-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2006-01-31. http://doi.org/10.3886/ICPSR01323.v1

Notes

  • These data are flagged as replication datasets and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

ICPSR logo

This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.