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Estimating Free-Riding Behavior: The StratAM Model

Published online by Cambridge University Press:  04 January 2017

Martin C. Steinwand*
Affiliation:
Department of Political Science, Stony Brook University, Stony Brook, NY 11794 e-mail: [email protected]

Abstract

Spatial statistical methods in political science provide a tool to deal with spatial and other forms of interdependence in observational data. In this article, I derive a statistical model from a game of impure public goods provision. The resulting strategic autoregressive model (StratAM) allows the researcher to systematically explore the sources of free-riding behavior in the provision of public goods. The StratAM model is tightly related to the well-known spatial autoregressive (SAR) model and can be estimated in a maximum likelihood framework. I demonstrate the use of the StratAM model by analyzing free riding in the provision of foreign aid. Indicators of developmental needs and good governance strongly increase free-riding during the 1990s. Free-riding patterns in the 2000s are more similar to Cold War patterns.

Type
Articles
Copyright
Copyright © The Author 2011. Published by Oxford University Press on behalf of the Society for Political Methodology 

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References

Acemoglu, Daron, Johnson, Simon, and Robinson, James. 2003. An African success story: Botswana. In Search for prosperity: Analytical narrative on economic growth, ed. Rodrik, Dani, 80122. Princeton, NJ: Princeton University Press.Google Scholar
Alesina, Alberto, and Weder, Beatrice. 2002. Do corrupt governments receive less foreign aid? American Economic Review 92: 1126–37.CrossRefGoogle Scholar
Alesina, Alberto, and Dollar, David. 2000. Who gives foreign aid to whom and why? Journal of Economic Growth 5: 3363.CrossRefGoogle Scholar
Anselin, Luc. 1988. Spatial econometrics: Methods and models. Dordrecht, Netherlands: Kluwer Academic Publishers.CrossRefGoogle Scholar
Anselin, Luc, Gallo, Julie Le, and Jayet, Hubert. 2008. Spatial panel econometrics. In The econometrics of panel data: Fundamentals and recent developments in theory and practice, ed. Sevestre, Patrick and Mátyás, László, 625–60. New York, NY: Springer.Google Scholar
Barro, Robert J., and Lee, Jong-Wha. 2005. IMF programs: Who is chosen and what are the effects? Journal of Monetary Economics 52: 1245–69.CrossRefGoogle Scholar
Beck, Nathaniel, and Katz, Jonathan N. 1995. What to do (and not to do) with time-series cross-section data. American Political Science Review 89: 634–47.CrossRefGoogle Scholar
Beck, Nathaniel, Gleditsch, Kristian Skrede, and Beardsley, Kyle. 2006. Space is more than geography: Using spatial econometrics in the study of political economy. International Studies Quarterly 50: 2744.CrossRefGoogle Scholar
Berthélemy, Jean-Claude. 2006. Bilateral donors' interest vs. recipients' development motives in aid allocation: Do all donors behave the same? Review of Development Economics 10: 179–94.CrossRefGoogle Scholar
Berthélemy, Jean-Claude, and Tichit, Ariane. 2004. Bilateral donors' aid allocation decisions—A three-dimensional panel analysis. International Review of Economics and Finance 13: 253–74.CrossRefGoogle Scholar
Boutton, Andrew, and Carter, David B. 2010. Carrots for counterterrorism: Security motivations for U. S. foreign aid. Working paper. Pennsylvania State University. http://www.personal.psu.edu/dbc10/aid_terror6.pdf (accessed February 2, 2011).Google Scholar
Burnside, Craig, and Dollar, David. 2000. Aid, policies, and growth. American Economic Review 90: 847–68.CrossRefGoogle Scholar
Carrubba, Clifford J., Yuen, Amy, and Zorn, Christopher. 2007. In defense of comparative statics: Specifying empirical tests of models of strategic interaction. Political Analysis 15: 465.CrossRefGoogle Scholar
Carter, David B., and Stone, Randall W. 2010. U. S. aid disbursement and voting in the United Nations General Assembly. Working paper. Pennsylvania State University. http://www.personal.psu.edu/dbc10/unvote7.pdf (accessed February 2, 2011).Google Scholar
Darmofal, David. 2009. Bayesian spatial survival models for political event processes. American Journal of Political Science 53: 241–57.CrossRefGoogle Scholar
Dollar, David. and Levin, Victoria. 2006. The increasing selectivity of foreign aid, 1984-2003. World Development 34: 2034–46.CrossRefGoogle Scholar
Dreher, Axel. 2004. A public choice perspective of IMF and World Bank lending and conditionality. Public Choice 119: 445–64.CrossRefGoogle Scholar
Dunning, Thad. 2004. Conditioning the effects of aid: Cold War politics, donor credibility, and democracy in Africa. International Organization 58: 409–23.CrossRefGoogle Scholar
Feldman, Lily Gardner. 1999. The principle and practice of ‘reconciliation’ in German foreign policy: Relations with France, Israel, Poland and the Czech Republic. International Affairs 75: 333–56.Google Scholar
Fleck, Robert K., and Kilby, Christopher. 2010. Changing aid regimes? US foreign aid from the Cold War to the war on terror. Journal of Development Economics 91: 185–97.CrossRefGoogle Scholar
Franzese, Robert J., and Hays, Jude C. 2007. Spatial econometric models of cross-sectional interdependence in political science panel and time-series-cross-section data. Political Analysis 15: 140–64.CrossRefGoogle Scholar
Franzese, Robert J., and Hays, Jude C. 2008. Interdependence in comparative politics: Substance, theory empirics, substance. Comparative Political Studies 41: 742–80.CrossRefGoogle Scholar
Fudenberg, Drew, and Tirole, Jean. 1991. Game theory. Cambridge, MA: MIT Press.Google Scholar
Giacomini, Raffaella, and Granger, Clive W. J. 2004. Aggregation of space-time processes. Journal of Econometrics 118: 726.CrossRefGoogle Scholar
Jepma, Catrinus J. 1991. The tying of aid. Paris, France: OECD Development Centre.Google Scholar
Kastellec, Jonathan P., and Leoni, Eduardo L. 2007. Using graphs instead of tables in political science. Perspectives on Politics 5: 755–71.CrossRefGoogle Scholar
King, Gary, Tomz, Michael, and Wittenberg, Jason. 2000. Making the most of statistical analysis: Improving interpretation and presentation. American Journal of Political Science 44: 341–55.CrossRefGoogle Scholar
Knack, Stephen, and Keefer, Phillip. 1995. Institutions and economic performance: Cross-country tests using alternative institutional measures. Economics and Politics 7: 942–63.CrossRefGoogle Scholar
Lancaster, Carol. 2000. Redesigning foreign aid. Foreign Affairs 79: 7488.CrossRefGoogle Scholar
Lancaster, Carol. 2007. Foreign aid: Diplomacy, development, domestic politics. Chicago, IL: University of Chicago Press.Google Scholar
LeSage, James P. 2000. Bayesian estimation of limited dependent variable spatial autoregressive models. Geographical Analysis 32: 1935.CrossRefGoogle Scholar
LeSage, James P., and Kelley Pace, R. 2009. Introduction to spatial econometrics. Boca Raton, FL: Chapman & Hall/CRC.CrossRefGoogle Scholar
Mearsheimer, John J., and Walt, Stephen M. 2006. The Israel lobby and US foreign policy. Middle East Policy 13: 2987.CrossRefGoogle Scholar
Morgenthau, Hans. 1962. A political theory of foreign aid. American Political Science Review 56: 301–9.CrossRefGoogle Scholar
Murdoch, James C., Sandler, Todd, and Sargent, Keith. 1997. A tale of two collectives: Sulphur versus nitrogen oxides emission reduction in Europe. Economica 64: 281301.CrossRefGoogle Scholar
Neumayer, Eric, and Plümper, Thomas. 2010. Spatial effects in dyadic data. International Organization 64: 145–66.CrossRefGoogle Scholar
Oatley, Thomas, and Yackee, Jason. 2004. American interests and IMF lending. International Politics 41: 415–29.CrossRefGoogle Scholar
OECD. 2009. International development statistics on CD ROM. Paris, France: OECD Publishing.Google Scholar
Olson, Mancur Jr., and Zeckhauser, Richard. 1966. An economic theory of alliances. Review of Economics and Statistics 48: 266–79.CrossRefGoogle Scholar
Plümper, Thomas, and Neumayer, Eric. 2010. Model specification in the analysis of spatial dependence. European Journal of Political Research 49: 418–42.CrossRefGoogle Scholar
Santiso, Carlos. 2001. Good governance and aid effectiveness: The World Bank and conditionality. Georgetown Public Policy Review 7: 122.Google Scholar
Schraeder, Peter J., Hook, Steven W., and Taylor, Bruce. 1998. Clarifying the foreign aid puzzle: A comparison of American, Japanese, French, and Swedish aid flows. World Politics 50: 294323.CrossRefGoogle Scholar
Signorino, Curtis. 1999. Strategic interaction and the statistical analysis of international conflict. American Political Science Review 93: 279–98.CrossRefGoogle Scholar
Signorino, Curtis S. 2003. Structure and uncertainty in discrete choice models. Political Analysis 11: 316–44.CrossRefGoogle Scholar
Signorino, Curtis S., and Yilmaz, Kuzey. 2003. Strategic misspecification in regression models. American Journal of Political Science 47: 551–66.CrossRefGoogle Scholar
Stone, Randall W. 2004. The political economy of IMF lending in Africa. American Political Science Review 98: 577–91.CrossRefGoogle Scholar
The World Bank Group. 2009. World development indicators online. http://databank.worldbank.org/ddp/home.do?Step=12&id=4&CNO=2 (accessed 6 April 2009).Google Scholar
Varian, Hal R. 1992. Microeconomic analysis. 3rd ed. New York: Norton.Google Scholar