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Quantitative Leverage Through Qualitative Knowledge: Augmenting the Statistical Analysis of Complex Causes

Published online by Cambridge University Press:  04 January 2017

Sanford C. Gordon  and
Alastair Smith
Sanford C. Gordon
Affiliation:
Department of Politics, New York University, 726 Broadway, 7th Floor, New York, NY 10003. e-mail: [email protected]
Alastair Smith
Affiliation:
Department of Politics, New York University, 726 Broadway, 7th Floor, New York, NY 10003. e-mail: [email protected]
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Abstract

Social scientific theories frequently posit that multiple causal mechanisms may produce the same outcome. Unfortunately, it is not always possible to observe which mechanism was responsible. For example, IMF scholars conjecture that nations enter IMF agreements both out of economic need and for discretionary domestic political reasons. Typically, though, all we observe is the fact of agreement, not its cause. Partial observability probit models (Poirier 1980, Journal of Econometrics 12:209–217; Braumoeller 2003, Political Analysis 11:209–233) provide one method for the statistical analysis of such phenomena. Unfortunately, they are often plagued by identification and labeling difficulties. Sometimes, however, qualitative studies of particular cases enlighten us about causes when quantitative studies cannot. We propose exploiting this information to lend additional structure to the partial observability approach. Monte Carlo simulation reveals that by anchoring “discernible” causes for a handful of cases about which we possess qualitative information, we obtain greater efficiency. More important, our method proves reliable at recovering unbiased parameter estimates when the partial observability model fails. The paper concludes with an analysis of the determinants of IMF agreements.

A member shall be entitled to purchase the currencies of other members from the Fund …[provided] the member represents that it has a need to make the purchase because of its balance of payments or its reserve position or developments in its reserves.

—International Monetary Fund Articles of Agreement

[IMF] negotiations sometimes enable government leaders to do what they privately wish to do, but are powerless to do domestically.

—Robert Putnam (1988, p. 457)

Type
Research Article
Information
Political Analysis , Volume 12 , Issue 3 , Summer 2004 , pp. 233 - 255
Copyright
Copyright © Society for Political Methodology 2004 

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References

Abowd, John M., and Farber, Henry S. 1982. “Job Queues and the Union Status of Workers.” Industrial and Labor Relations Review 35: 354–367.Google Scholar
Achen, Christopher H. 1986. The Statistical Analysis of Quasi-Experiments. Berkeley: University of California Press.CrossRefGoogle Scholar
Albert, James H., and Chib, Siddhartha. 1993. “Bayesian Analysis of Binary and Polychotomous Response Data.” Journal of the American Statistical Association 88: 669–679.Google Scholar
Beck, Nathaniel, and Katz, Jonathan N. 1995. “What to Do (and Not to Do) with Time-Series Cross-Section Data in Comparative Politics.” American Political Science Review 89: 634–647.Google Scholar
Berinsky, Adam J. 1999. “The Two Faces of Public Opinion.” American Journal of Political Science 43: 1209–1230.Google Scholar
Bird, Graham. 1996. “Borrowing from the IMF: The Policy Implications of Recent Empirical Research.” World Development 24: 1753–1760.Google Scholar
Bjork, James. 1995. “The Uses of Conditionality.” East European Quarterly 29: 89–124.Google Scholar
Braumoeller, Bear F. 2003. “Causal Complexity and the Study of Politics.” Political Analysis 11: 209–233.Google Scholar
Brehm, John, and Hamilton, James T. 1996. “Noncompliance in Environmental Reporting: Are Violators Ignorant, or Evasive, of the Law?” American Journal of Political Science 40: 444–477.Google Scholar
Bueno de Mesquita, Bruce, Morrow, James, Siverson, Randolph, and Smith, Alastair. 2002. “Political Institutions, Policy Choice and the Survival of Leaders.” British Journal of Political Science 32: 559–590.Google Scholar
Bueno de Mesquita, Bruce, Smith, Alastair, Siverson, Randolph, and Morrow, James D. 2003. The Logic of Political Survival. Cambridge, MA: MIT Press.Google Scholar
Chib, Siddhartha, and Greenberg, Edward. 1998. “Analysis of Multivariate Probit Models.” Biometrika 85: 347–361.Google Scholar
Clark, William Roberts, and Gilligan, Michael J. 2004. “A Simple Multivariate Statistical Test for Necessary or Sufficient Conditions.” Unpublished manuscript, New York University.Google Scholar
Connors, Thomas A. 1979. “The Apparent Effects of Recent IMF Stabilization Programs.” International Finance Discussion Paper, No. 135. Washington, DC: Board of Governors of the Federal Reserve System.Google Scholar
Conway, Patrick. 1994. “IMF Lending Programs: Participation and Impact.” Journal of Development Economics 45: 365–391.Google Scholar
David, Herbert A., and Moeschberger, Melvin L. 1978. The Theory of Competing Risks. New York: MacMillan.Google Scholar
Dixit, Avinash K. 1996. The Making of Economic Policy: A Transaction-Cost Politics Perspective. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Downs, George W., and Rocke, David M. 1994. “Conflict, Agency, and Gambling for Resurrection: The Principal-Agent Problem Goes to War.” American Journal of Political Science 38: 362–380.CrossRefGoogle Scholar
Downs, George W., and Rocke, David M. 1995. Optimal Imperfection? Domestic Uncertainty and Institutions in International Relations. Princeton, NJ: Princeton University Press.Google Scholar
Drazen, Allan. 2001. “Conditionality and Ownership in IMF Lending: A Political Economy Approach.” Mimeo.CrossRefGoogle Scholar
Dubin, Jeffrey A., and Rivers, Douglas. 1989. “Selection Bias in Linear Regression, Logit and Probit Models.” Sociological Methods and Research 18: 360–390.Google Scholar
Edwards, Sebastian, and Santaella, Julio A. 1993. “Devaluation Controversies in the Developing Countries: Lessons from the Bretton Woods Era.” In A Retrospective on the Bretton Woods System, eds. Bordo, Michael D. and Eichengreen, Barry. Chicago, IL: University of Chicago Press, pp. 405–455.Google Scholar
Feinstein, Jonathan S. 1989. “The Safety Regulation of U.S. Nuclear Power Plants: Violations, Inspections, and Abnormal Occurrences.” Journal of Political Economy 97: 115–154.Google Scholar
Feinstein, Jonathan S. 1990. “Detection Controlled Estimation.” Journal of Law and Economics 33: 233–276.Google Scholar
Gelman, Andrew, Carlin, John B., Stern, Hal S., and Rubin, Donald B. 1995. Bayesian Data Analysis. London: Chapman and Hall.Google Scholar
Gelman, Andrew, and Rubin, Donald B. 1992. “Inference from Iterative Simulation Using Multiple Sequences.” Statistical Science 7: 457–511.Google Scholar
Gordon, Sanford C. 2002. “Stochastic Dependence in Competing Risks.” American Journal of Political Science 46: 200–217.Google Scholar
Gordon, Sanford C. 2003. “On the Political Strength of Regulated Industries and the Conditional Nature of Regulatory Autonomy.” Unpublished manuscript, New York University.Google Scholar
Greene, William H. 2000. Econometric Analysis, 4th ed. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Gylfason, Thorvaldur. 1987. “Credit Policy and Economic Activity in Developing Countries with IMF Stabilization Programs.” Princeton Studies in International Finance, No. 60.Google Scholar
Haggard, Stephan, and Kaufman, Robert R. 1992. The Politics of Economic Adjustment: International Constraints, Distributive Conflicts and the State. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Heckman, James. 1976. “The Common Structure of Statistical Models of Truncation, Sample Selection, and Limited Dependent Variables and a Simple Estimator for Such Models.” Annals of Economic and Social Measurement 5: 475–492.Google Scholar
Heckman, James. 1979. “Sample Selection Bias as a Specification Error.” Econometrica 47: 153–161.Google Scholar
Huth, Paul K. 1996. Standing Your Ground: Territorial Disputes and International Conflict. Ann Arbor, MI: University of Michigan Press.Google Scholar
International Monetary Fund. 1971–2002. Annual Report, various issues. Washington, DC: International Monetary Fund.Google Scholar
International Monetary Fund. 2003. International Financial Statistics on CD-ROM, February 2003. Washington, DC: International Monetary Fund.Google Scholar
Jackman, Simon. 2000. “Estimation and Inference via Bayesian Simulation: An Introduction to Markov Chain Monte Carlo.” American Journal of Political Science 44: 375–404.Google Scholar
Jervis, Robert. 1976. Perception and Misperception in International Politics. Princeton, NJ: Princeton University Press.Google Scholar
Khan, Mohsin S. 1990. “The Macroeconomic Effects of Fund-Supported Adjustment Programs.” IMF Staff Papers 37: 195–231.Google Scholar
King, Gary. 1989. Unifying Political Methodology: The Likelihood Theory of Statistical Inference. New York: Cambridge University Press.Google Scholar
Levy, Jack. 1989. “The Diversionary Theory of War: A Critique.” In Handbook of War Studies, ed. Midlarsky, Manus I. Boston: Unwin Hyman, pp. 259–288.Google Scholar
Levy, Jack, and Vakili, Lily I. 1992. “Diversionary Action by Authoritarian Regimes: Argentina in the Falklands/Malvinas Case.” In The Internationalization of Communal Strife, ed. Midlarsky, Manus I. New York: Routledge, pp. 118–146.Google Scholar
Mackie, J. L. 1965. “Causes and Conditions.” American Philosophical Quarterly 2: 245–264.Google Scholar
Meng, Chun-Lo, and Schmidt, Peter. 1985. “On the Cost of Partial Observability in the Bivariate Probit Model.” International Economic Review 26: 71–85.Google Scholar
Pastor, Manuel Jr. 1987. The International Monetary Fund and Latin America: Economic Stabilization and Class Conflict. Boulder, CO: Westview.Google Scholar
Payer, Cheryl. 1974. The Debt Trap: The IMF and the Third World. New York: Monthly Review Press.Google Scholar
Pearl, Judea. 2000. Causality: Models, Reasoning, and Inference. New York: Cambridge University Press.Google Scholar
Poirier, Dale J. 1980. “Partial Observability in Bivariate Probit Models.” Journal of Econometrics 12: 209–217.Google Scholar
Przeworski, Adam, and Vreeland, James Raymond. 2002. “A Statistical Model of Bilateral Cooperation.” Political Analysis 10: 101–112.CrossRefGoogle Scholar
Putnam, Robert D. 1988. “Diplomacy and Domestic Politics: The Logic of Two-Level Games.” International Organization 42: 427–460.Google Scholar
Ramcharan, Rodney. 2003. “Reputation, Debt and Policy Conditionality.” Working paper, Research Department, International Monetary Fund.Google Scholar
Reichmann, Thomas M., and Stillson, Richard T. 1978. “Experience with Programs of Balance of Payments Adjustment: Stand-by Arrangements in the Highest Tranches, 1963–72.” IMF Staff Papers 25: 293–309.CrossRefGoogle Scholar
Reiter, Dan, and Stam, Allan C. 2002. Democracies at War. Princeton, NJ: Princeton University Press.Google Scholar
Remmer, Karen L. 1986. “The Politics of Economic Stabilization, IMF Standby Programs in Latin America, 1954–1984.” Comparative Politics 19: 1–24.Google Scholar
Rosenbaum, Paul R., and Silber, Jeffrey H. 2001. “Matching and Thick Description in an Observational Study of Mortality after Surgery.” Biostatistics 2: 217–232.CrossRefGoogle Scholar
Sartori, Anne E. 2003. “An Estimator for Some Binary-Outcome Selection Models without Exclusion Restrictions.” Political Analysis 11: 111–138.Google Scholar
Smith, Alastair. 1996. “Diversionary Foreign Policy in Democratic Systems.” International Studies Quarterly 40: 133–153.Google Scholar
Smith, Alastair. 1999. “Testing Theories of Strategic Choice: The Example of Crisis Escalation.” American Journal of Political Science 43: 1254–1283.Google Scholar
Smith, Alastair, and Vreeland, James. 2003. “The Survival of Political Leaders and IMF Programs: Testing the Scapegoat Story.” Presented at the Yale University Conference on the Impact of Globalization on the Nation-State from Above: The International Monetary Fund and the World Bank, April 25–27.Google Scholar
Spaventa, Luigi. 1983. “Two Letters of Intent: External Crises and Stabilization Policy, Italy, 1973–77.” In IMF Conditionality, ed. Williamson, John. Washington, DC: Institute for International Economics, pp. 441–473.Google Scholar
Tanner, Martin A., and Wong, Wing Hung. 1987. “The Calculation of Posterior Distributions by Data Augmentation.” Journal of the American Statistical Association 82: 528–540.CrossRefGoogle Scholar
Vaubel, Roland. 1986. “A Public Choice Approach to International Organization.” Public Choice 51: 39–57.Google Scholar
Vreeland, James Raymond. 2000. “The Institutional Determinants of IMF Programs.” Presented at the Leitner Work-in-Progress Seminar, Yale University, December 4.Google Scholar
Vreeland, James. 2003. The IMF and Economic Development. New York: Cambridge University Press.Google Scholar
Welch, David A. 1993. Justice and the Genesis of War. New York: Cambridge University Press.Google Scholar
World Bank. 2001. World Bank Development Indicators on CD-ROM. Washington, DC: World Bank.Google Scholar
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