Achen, C.H. and Shively, W.P.1995: Cross-Level Inference. Chicago, IL: University of Chicago Press.
2.
Agnew, J.1996a: Mapping politics: how context counts in electoral geography. Political Geography15, 129–146.
3.
Agnew, J.1996b: Maps and models in political studies: a reply to comments. Political Geography15, 165–167.
4.
Alvarez, R.M. and Butterfield, T.L.1999: Latino citizenship and participation in California politics: a Los Angeles County case study. Pacific Historical Review68, 293–304.
Anselin, L.2000: The alchemy of statistics, or creating data where no data exist. Annals of the Association of American Geographers90, 586–592.
7.
Benoit, K. and King, G.1998: EzI: a(n easy) program for ecological inference(http://gking.harvard.edu/ei/ei.html).
8.
Brown, P.J. and Payne, C.D.1986: Aggregate data, ecological regression, and voting transitions. Journal of the American Statistical Association81, 452–460.
9.
Brundson, C., Fotheringham, A.S. and Charlton, M.E.1996: Geographically weighted regression: a method for exploring nonstationarity. Geographical Analysis28, 281–298.
10.
Burden, B.C. and Kimball, D.C.1998: A new approach to the study of ticket splitting. American Political Science Review92, 533–544.
11.
Cleave, N., Brown, P.J. and Payne, C.D.1995: Evaluation of methods for ecological inference. Journal of the Royal Statistical Society, Series A, General158, 55–72.
12.
Cressie, N.A.C.1993: Statistics for spatial data. New York: Wiley.
13.
Duncan, O.D. and Davis, D.1953: An alternative to ecological correlation. American Sociological Review18, 665–666.
Flanigan, W.H. and Zingale, N.1985: Alchemist's gold: inferring individual relationships from aggregate data. Social Science History9, 71–92.
16.
Forcina, A. and Marchetti, G.M.1989: Modelling transition probabilities in the analysis of aggregated data. Lecture Notes in Statistics57, 157–164.
17.
Fotheringham, A.S.1997: Trends in quantitative methods I: stressing the local. Progress in Human Geography21, 88–96.
18.
Fotheringham, A.S.1998: Trends in quantitative methods II: stressing the computational. Progress in Human Geography22, 283–292.
19.
Fotheringham, A.S.2000: A bluffer's guide to ‘A solution to the ecological inference problem’. Annals of the Association of American Geographers90, 582–586.
20.
Freedman, D.A., Klein, S.P., Ostland, M. and Roberts, M.R.1998: A solution to the ecological inference problem (book review). Journal of the American Statistical Association93, 1518–1520.
21.
Freedman, D.A., Klein, S.P., Sacks, J., Smyth, C.A. and Everett, C.G.1991: Ecological regression and voting rights. Evaluation Review15, 673–711.
22.
Freedman, D.A., Ostland, M., Roberts, M.R. and Klein, S.P.1999: Response to King's comments. Journal of the American Statistical Association94, 355–357.
23.
Goodman, L.1953: Ecological regressions and the behavior of individuals. American Sociological Review18, 663–666.
24.
Goodman, L.1959: Some alternatives to ecological correlation. American Journal of Sociology64, 610–624.
25.
Grofman, B.1995: New methods for valid ecological inference. In Eagles, M., editor, Spatial and contextual models in political research, London: Taylor & Francis, 127–149.
26.
Johnston, R.J.1998: A solution to the ecological inference problem: reconstructing individual behavior from aggregate data (book review). Environment and Planning A30, 1323–1324.
27.
Johnston, R.J., Hay, A.M. and Taylor, P.J.1982: Estimating the sources of spatial change in election results. Environment and Planning A14, 951–961.
28.
King, G.1996: Why context should not count. Political Geography15, 159–164.
29.
King, G.1997: A solution to the ecological inference problem: reconstructing individual behavior from aggregate data. Princeton, NJ: Princeton University Press.
30.
King, G.1999: The future of ecological inference research: a comment on Freedman et al. Journal of the American Statistical Association94, 352–355.
31.
King, G., Rosen, O. and Tanner, M.A.1999: Binomial-beta hierarchical models for ecological inference. Sociological Methods and Research28, 61–90.
32.
Lupia, A. and McCue, K.1990: Why the 1980s measures of racially polarized voting are inadequate for the 1990s. Law and Policy12, 355.
33.
Neuberg, L.G.1999: A solution to the ecological inference problem: Reconstructing individual behavior from aggregate data (book review). Journal of Policy Analysis and Management18, 191–199.
34.
O'Loughlin, J.2000: Can King's ecological inference method answer a social scientific puzzle: who voted for the Nazi Party in Weimar Germany?Annals of the Association of American Geographers90, 592–601.
35.
Owen, G. and Grofman, B.1997: Estimating the likelihood of fallacious ecological inference: linear ecological regression in the presence of context effects. Political Geography16, 675–690.
36.
Penubarti, M. and Schuessler, A.A. 1999: Inferring micro- from macro-level change: ecological panel inference in surveys. Unpublished manuscript, Department of Political Science, University of California, Los Angeles. Available from lead author, mohan@ucla.edu.
37.
Raudenbush, S.W.1998: A solution to the ecological inference problem: reconstructing individual behavior from aggregate data (book review). American Journal of Sociology103, 1770–1772.
38.
Reynolds, H.1998: A solution to the ecological inference problem: reconstructing individual behavior from aggregate data, by G. King (book review). Journal of Regional Science38, 195–196.
39.
Rivers, D.1998: A solution to the ecological inference problem: reconstructing individual behavior from aggregated data (book review). American Political Science Review92, 442–443.
40.
Robinson, W.S.1950: Ecological correlation and the behavior of individuals. American Sociological Review15, 351–357.
41.
Schuessler, A.A. 1999: Ecological inference. Proceedings of the National Academy of Sciences 96, 10 578–581.
42.
Shelly, R.1996: A solution to the ecological inference problem: reconstructing individual behavior from aggregate data (book review). Contemporary Sociology27, 425–427.
43.
Sigelman, L.1991: Turning cross sections into a panel: a simple procedure for ecological inference. Social Science Research20, 150–170.
44.
Stoto, M.A.1998: A solution to the ecological inference problem: reconstructing individual behavior from aggregate data (book review). Public Health Reports113, 182–183.
45.
Tam, W.K.1998a: iff the assumption fits. Political Analysis7, 143–163.
46.
Tam, W.K.1998b: A solution to the ecological inference problem (book review). The Journal of Politics60, 1244–1246.
47.
Thomsen, S.R.1987: Danish elections 1920–1979: a logit approach to ecological analysis and inference. Arhus: Politica.
48.
Voss, D.S. and Lublin, D.2001: Black incumbents, white districts: an appraisal of the 1996 congressional elections. American Politics Quarterly (forthcoming).
49.
Wrigley, N.1982: Quantitative methods: developments in discrete-choice modelling. Progress in Human Geography6, 547–562.
50.
Wrigley, N.1986: Quantitative methods: the era of longitudinal data analysis. Progress in Human Geography10, 85–101.