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Interpretation: the final spatial frontier

  • Guy D. Whitten (a1), Laron K. Williams (a2) and Cameron Wimpy (a3)

Abstract

The use of spatial econometric models in political science has steadily risen in recent years. However, the interpretation of these models has generally ignored the important substantive, and even spatial, nature of the estimated effects. This leaves many papers with a (non-spatial) interpretation of coefficients on the covariates and a brief discussion of the sign and strength of the spatial parameter. We introduce a general approach to interpreting spatial models and provide several avenues for an exposition of substantive spatial effects. Our approach can be generalized to most models in the spatial econometric taxonomy. Building on the example of the diffusion of democracy, we elucidate how our approach can be applied to modern political science problems.

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Corresponding author

*Corresponding author. E-mail: cwimpy@astate.edu

References

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Beck, N, Gleditsch, KS and Beardsley, K (2006) Space is more than geography: using spatial econometrics in the study of political economy. International Studies Quarterly 50, 2744.
Brinks, D and Coppedge, M (2006) Diffusion is no illusion: neighbor emulation in the third wave of democracy. Comparative Political Studies 39, 463489.
Carsey, TM and Harden, JJ (2014) Monte Carlo Simulations and Resampling Methods for Social Science. Thousand Oaks, CA: Sage Publications.
Cook, SJ, Hays, JC and Franzese, RJ (2015) Model specification and spatial interdependence. Paper presented at the 2015 Annual Meeting of POLMETH, In APSA Conference Paper. Available at http://www.sas.rochester.edu/psc/polmeth/papers/Cook\_Hays\_Franzese.pdf.
Darmofal, D (2015) Spatial Analysis for the Social Sciences. New York: Cambridge University Press.
Elkins, Z and Simmons, B (2005) On waves, clusters, and diffusion: a conceptual framework. Annals of the American Academy of Political and Social Science 598, 3351.
Fortunato, D, Swift, CS and Williams, LK (2018) All economics is local: spatial aggregations of economic information. Political Science Research and Methods 6, 467487.
Franzese, RJ and Hays, JC (2006) Strategic interaction among EU governments in active labor market policy-making: subsidiarity and policy coordination under the European employment strategy. European Union Politics 7, 167189.
Franzese, RJ and Hays, JC (2007) Spatial econometric models of cross-sectional interdependence in political science panel and time-series-cross-section data. Political Analysis 15, 140164.
Garcia, BE and Wimpy, C (2016) Does information lead to emulation? Spatial dependence in anti-government violence. Political Science Research and Methods 4, 2746.
Gibbons, S and Overman, HG (2012) Mostly pointless spatial econometrics. Journal of Regional Science 52, 172191.
Gleditsch, KS and Ward, MD (2006) Diffusion and the international context of democratization. International Organization 60, 911933.
Halleck Vega, S and Elhorst, JP (2015) The SLX model. Journal of Regional Science 55, 339363.
Huntington, SP (1991) The Third Wave: Democratization in the Late Twentieth Century. Norman, OK: University of Oklahoma Press.
King, G, Tomz, M and Wittenberg, J (2000) Making the most of statistical analyses: improving interpretation and presentation. American Journal of Political Science 44, 347361.
LeSage, JP and Pace, RK (2009) Introduction to Spatial Econometrics. Boca Raton: Chapman & Hall/CRC.
Morgan, SL and Winship, C (2007) Counterfactuals and Causal Inference: Methods and Principles for Social Research. Cambridge, UK: Cambridge University Press.
Neumayer, E and Plümper, T (2016) W. Political Science Research and Methods 4, 175193.
Pierskalla, JH and Hollenbach, FM (2013) Technology and collective action: the effect of cell phone coverage on political violence in Africa. American Political Science Review 107, 207224.
Plümper, T and Neumayer, E (2010) Model specification in the analysis of spatial dependence. European Journal of Political Research 49, 418442.
Shipan, CR and Volden, C (2008) The mechanisms of policy diffusion. American Journal of Political Science 52, 840857.
Ward, MD and Gleditsch, KS (2008) Spatial Regression Models, vol. 155, Thousand Oaks: Sage.
Williams, LK (2015) It's all relative: spatial positioning of parties and ideological shifts. European Journal of Political Research 54, 141159.
Williams, LK, Seki, K and Whitten, GD (2016) You've got some explaining to do: the influence of economic conditions and spatial competition on party strategy. Political Science Research and Methods 4, 4763.

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