Beyond Policy Diffusion: Spatial Econometric Models of Public Administration

Journal of Public Administration Research and Theory, Forthcoming. DOI: doi.org/10.1093/jopart/muy050.

51 Pages Posted: 9 Apr 2019

See all articles by Scott Cook

Scott Cook

Texas A&M University

Seung-Ho An

Texas Tech University - Department of Political Science

Nathan Favero

American University - School of Public Affairs

Date Written: 2018

Abstract

Interdependence in the decision making or behaviors of various organizations and administrators is often neglected in the study of public administration. Failing to account for such interdependence risks an incomplete understanding of the choices made by these actors and agencies. As such, we show how researchers analyzing cross-sectional or time-series-cross-sectional (TSCS) data can utilize spatial econometric methods to improve inference on existing questions, and, more interestingly, engage a new set of theoretical questions. Specifically, we articulate several general mechanisms for spatial dependence that are likely to appear in research on public administration (isomorphism, competition, benchmarking, and common exposure). We then demonstrate how these mechanisms can be tested using spatial econometric models in two applications: first, a cross-sectional study of district-level bilingual education spending and, second, a TSCS analysis on state-level health care administration. In our presentation, we also briefly discuss many of the practical challenges confronted in estimating spatial models (e.g., weights specification, model selection, effects calculation) and offer some guidance on each.

Suggested Citation

Cook, Scott and An, Seung-Ho and Favero, Nathan, Beyond Policy Diffusion: Spatial Econometric Models of Public Administration (2018). Journal of Public Administration Research and Theory, Forthcoming. DOI: doi.org/10.1093/jopart/muy050. . Available at SSRN: https://ssrn.com/abstract=3354114 or http://dx.doi.org/10.2139/ssrn.3354114

Scott Cook (Contact Author)

Texas A&M University ( email )

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Seung-Ho An

Texas Tech University - Department of Political Science ( email )

United States

HOME PAGE: http://www.seunghoan.com

Nathan Favero

American University - School of Public Affairs ( email )

Washington, DC 20016
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
2
Abstract Views
63
PlumX Metrics