Improving ecological inference by predicting individual ethnicity from voter registration records

Political Analysis

Volumn 24, Issue 2, 2016, Pages 263-272

  Imai, Kosuke ^a   Khanna, Kabir ^a  

^a PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84964754756     PISSN: 10471987     EISSN: 14764989     Source Type: Journal    
DOI: 10.1093/pan/mpw001     Document Type: Article

References (30)

1. Ansolabehere, S., and E. Hersh. 2003. Gender, age, race, and voting: A research note. Politics and Governance 1(2):132-37.
2. Barber, M., and K. Imai. 2013. Estimating neighborhood effects on turnout from geocoded voter registration records. Working Paper available at http://imai.princeton.edu/research/neighbor.html (accessed February 24, 2016).
3. Barreto, M. A. 2007. Si Se Puede! Latino candidates and the mobilization of Latino voters. American Political Science Review 101(3):425-41.
4. Barreto, M. A., G. M. Segura, and N. D. Woods. 2004. Mobilizing effect of majority-minority districts. American Political Science Review 98(1):65-75.
5. Dempster, A. P., N. M. Laird, and D. B. Rubin. 1977. Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, Series B, Methodological 39(1):1-37.
6. Elliott, M. N., A. Fremont, P. A. Morrison, P. Pantoja, and N. Lurie. 2008. A new method for estimating race/ethnicity and associated disparities where administrative records lack self-reported race/ethnicity. Health Services Research 43(5p1):1772-36.
7. Elliott, M. N., P. A. Morrison, A. Fremont, D. F. McCaffrey, P. Pantoja, and N. Lurie. 2009. Using the Census Bureau's surname list to improve estimates of race/ethnicity and associated disparities. Health Services and Outcomes Research Methodology 9(2):69-83.
8. Enos, R. D. 2015. Testing the elusive: A field experiment on intergroup competition and voting. Working Paper, Department of Government, Harvard University.
9. Fieldhouse, E., and D. Cutts. 2008. Diversity, density and turnout: The effect of neighbourhood ethno-religious composition on voter turnout in Britain. Political Geography 27(5):530-48.
10. Fiscella, K., and A. M. Fremont. 2006. Use of geocoding and surname analysis to estimate race and ethnicity. Health Services Research 41(4p1):1482-500.
11. Fraga, B. 2013. Winning the race, losing the base? Demobilization, competitiveness, and electoral influence. Working Paper, Department of Political Science, Indiana University.
12. Fraga, B. 2016. Candidates or districts? Reevaluating the role of race in voter turnout. American Journal of Political Science 60(1):97-122.
13. Gay, C. 2001. The effect of black congressional representation on political participation. American Political Science Review 95(3):589-602.
14. Goodman, L. 1953. Ecological regressions and behavior of individuals. American Sociological Review 18:663-66.
15. Greiner, J. D. 2007. Ecological inference in voting rights act disputes: Where are we now, and where do we want to be? Jurimetrics 47(2):115-67.
16. Greiner, D. J., and K. M. Quinn. 2008. R×c ecological inference: bounds, correlations, flexibility and transparency of assumptions. Journal of the Royal Statistical Society, Series A 172(1):67-81. Greiner, D. J., and K. M. Quinn. 2010. Exit polling and racial bloc voting: Combining individual level and ecological data. Annals of Applied Statistics 4(4):1774-96.
17. Greiner, D. J., and K. M. Quinn. 2010. Exit polling and racial bloc voting: Combining individual level and ecological data. Annals of Applied Statistics 4(4):1774-96
18. Hajnal, Z. L., and J. Trounstine. 2005. Where turnout matters: The consequences of uneven turnout in city politics. Journal of Politics 67(2):515-35.
19. Harris, J. A. 2015. What's in a name? A method for extracting information about ethnicity from names. Political Analysis 23(2):212-24.
20. Henderson, J. A., J. S. Sekhon, and R. Titiunik. 2014. Cause or effect? Turnout in Hispanic majority-minority districts. Department of Political Science, University of California, Berkeley.
21. Herron, M. C., and J. S. Sekhon. 2005. Black candidates and black voters: Assessing the impact of candidate race on uncounted vote rates. Journal of Politics 67(1):154-77.
22. Imai, K., Y. Lu, and A. Strauss. 2008. Bayesian and likelihood inference for 2×2 ecological tables: An incomplete data approach. Political Analysis 16(1):41-69.
23. Khanna, K., and K. Imai. 2016. Replication data for: Improving ecological inference by predicting individual ethnicity from voter registration records. http://dx.doi.org/10.7910/DVN/SVY5VF, Harvard Dataverse, V1 (accessed February 24, 2016).
24. King, G., 2004. A solution to the ecological inference problem: Reconstructing individual behavior from aggregate data. Princeton, NJ: Princeton University Press.
25. King, G., and M. Roberts. 2012. Ei: A(n r) program for ecological inference.
26. King, G., O. Rosen, and M. Tanner, eds. 2004. Ecological inference: New methodological strategies. Cambridge: Cambridge University Press.
27. Michelson, M. R. 2003. Getting out the Latino vote: How door-to-door canvassing influences voter turnout in rural central California. Political Behavior 25(3):247-63.
28. Newport, F. 2013. Democrats racially diverse; Republicans mostly white-Gallup. http://www.gallup.com/poll/160373/ democrats-racially-diverse-republicans-mostly-white.aspx (accessed January 24, 2015).
29. Tam Cho, W. K., J. G. Gimpel, and J. J. Dyck. 2006. Residential concentration, political socialization, and voter turnout. Journal of Politics 68(1):156-67.
30. Wakefield, J. 2004. Ecological inference for 2×2 tables (with discussion). Journal of the Royal Statistical Society, Series A 167:385-445