Hostname: page-component-848d4c4894-cjp7w Total loading time: 0 Render date: 2024-06-15T16:34:15.026Z Has data issue: false hasContentIssue false

Qualitative Leverage and the Epistemology of Expert Opinion

Published online by Cambridge University Press:  04 January 2017

Sanford C. Gordon
Affiliation:
Department of Politics, New York University, 726 Broadway, 7th Floor, New York, NY 10003. e-mail: sanford.gordon@nyu.edu
Alastair Smith
Affiliation:
Department of Politics, New York University, 726 Broadway, 7th Floor, New York, NY 10003. e-mail: alastair.smith@nyu.edu

Abstract

We discuss the motivation for integrating qualitative information in statistical models of complex, partially observable causal mechanisms and suggest ways to minimize the dangers posed by Braumoeller and Kirpichevsky. We stress the importance of linking our statistical estimators to underlying theories of the data generating process, qualitative or otherwise.

Type
Research Article
Copyright
Copyright © The Author 2005. Published by Oxford University Press on behalf of the Society for Political Methodology 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Braumoeller, Bear F. 2003. “Causal Complexity and the Study of Politics.” Political Analysis 11: 209233.Google Scholar
Geertz, Clifford. 1973. “Thick Description: Toward an Interpretive Theory of Culture.” The Interpretation of Cultures, chap. 1. New York: Basic Books.Google Scholar
Gordon, Sanford C., and Smith, Alastair. 2004. “Quantitative Knowledge through Qualitative Leverage: Augmenting the Statistical Analysis of Complex Causes.” Political Analysis 12: 233255.CrossRefGoogle Scholar
Poirier, Dale J. 1980. “Partial Observability in Bivariate Probit Models.” Journal of Econometrics 12: 209217.Google Scholar
Rosenbaum, Paul R., and Silber, Jeffrey H. 2001. “Matching and Thick Description in an Observational Study of Mortality after Surgery.” Biostatistics 2: 217232.CrossRefGoogle Scholar
Sekhon, Jasjeet S., and Mebane, Walter R. 1998. “Genetic Optimization Using Derivatives: Theory and Application to Nonlinear Models.” Political Analysis 7: 189213.Google Scholar
Tarrow, Sidney. 2004. “Bridging the Quantitative-Qualitative Divide.” In “Rethinking Social Inquiry: Diverse Tools, Shared Standards,” eds. Brady, Henry E. and Collier, David, Lanham, MD: Rowman and Littlefield, pp. 171179.Google Scholar
Vreeland, James. 2003. The IMF and Economic Development. New York: Cambridge University Press.Google Scholar