Using prior information to aid ecological inference: A Bayesian approach

Ecological Inference: New Methodological Strategies

Volumn , Issue , 2004, Pages 144-161

  Corder, J Kevin ^a   Wolbrecht, Christina ^b  

^a WESTERN MICHIGAN UNIVERSITY   (United States)

^b UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 3042817571     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511510595.008     Document Type: Chapter

References (10)

1. Achen, Christopher H. and W. Phillips Shively. 1995. Cross-Level Inference. Chicago: University of Chicago Press.
2. Burnham, Walter Dean. 1981. “The System of 1896: An Analysis.” In Paul Kleppner, Walter Dean Burnham, Ronald P. Formisano, Samuel P. Hays, Richard Jensen, and William G. Shade (eds.), The Evolution of American Electoral Systems. Westport, CT: Greenwood Press.
3. Degler, Carl N. 1964. “American Political Parties and the Rise of the City: An Interpretation.” Journal of American History, 51, June: 41–59.
4. Gelman, A. and D. B. Rubin. 1992. “Inference from Iterative Simulation Using Multiple Sequences.” Statistical Science, 7: 457–511.
5. King, Gary. 1997. A Solution to the Ecological Inference Problem: Deconstructing Individual Behavior from Aggregate Data. Princeton, NJ: Princeton University Press.
6. King, Gary and Bradley Palmquist. 1997. “The Record of American Democracy, 1984–1990.” PS: Political Science and Politics, 30, December: 746–747.
7. King, Gary, Ori Rosen, andMartin Tanner. 1999. “Binomial–Beta HierarchicalModels for Ecological Inference.” Sociological Methods and Practice, 28: 61–90.
8. Kleppner, Paul. 1982. “Were Women to Blame? Female Suffrage and Voter Turnout.” The Journal of Interdisciplinary History, 12, Spring: 621–643.
9. Ogburn, William F. and Inez Goltra. 1919. “How Women Vote: A Study of an Election in Portland, Oregon.” Political Science Quarterly, 34: 413–433.
10. Wakefield, Jonathan. 2001. “Ecological Inference for 2 × 2 Tables.” Working Paper no. 12. Center for Statistics and the Social Sciences, University ofWashington.