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Assessing Spatial Theories of Voting Using Panel Data: The 2006 Presidential Election in Brazil |
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Abstract:
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Using panel survey data to deal with the endogeneity of political attitudes, we test spatial theories of voting in both the first (multinomial) and second (binomial) rounds of the 2006 presidential election in Brazil. |
Most Common Document Word Stems:
vote (122), voter (93), lula (73), variabl (68), 1 (61), model (56), candid (55), polit (52), issu (51), decis (45), ideolog (41), spatial (41), elect (40), locat (39), use (37), econom (36), theori (36), data (33), 2006 (33), distanc (32), posit (31), |
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Association:
Name: MPSA Annual National Conference
URL: http://www.indiana.edu/~mpsa/
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Citation:
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MLA Citation:
| Rodriguez-Raga, Juan Carlos., Wills, Laura. and Olivella, Santiago. "Assessing Spatial Theories of Voting Using Panel Data: The 2006 Presidential Election in Brazil" Paper presented at the annual meeting of the MPSA Annual National Conference, Palmer House Hotel, Hilton, Chicago, IL, Apr 03, 2008 <Not Available>. 2009-05-23 <http://www.allacademic.com/meta/p267169_index.html> |
APA Citation:
| Rodriguez-Raga, J. C., Wills, L. and Olivella, S. , 2008-04-03 "Assessing Spatial Theories of Voting Using Panel Data: The 2006 Presidential Election in Brazil" Paper presented at the annual meeting of the MPSA Annual National Conference, Palmer House Hotel, Hilton, Chicago, IL Online <APPLICATION/PDF>. 2009-05-23 from http://www.allacademic.com/meta/p267169_index.html |
Publication Type: Conference Paper/Unpublished Manuscript
Abstract: Using panel survey data to deal with the endogeneity of political attitudes, we test spatial theories of voting in both the first (multinomial) and second (binomial) rounds of the 2006 presidential election in Brazil. |
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| Assessing Spatial Theories of Voting Using Panel Data: The 2006 Presidential Election in Brazil Santiago Olivella Washington University in St. Louis (olivella@wustl.edu) Juan Carlos RodrĂguez-Raga University of Pittsburgh (jcr753@pitt.edu) Laura Wills-Otero University of Pittsburgh (law27@pitt.edu) Prepared for presentation at the MPSA 66th Annual National Conference Chicago April 3-6 2008. Introduction When empirical tests of spatial models of voting utilize survey data they commonly confront two problems. First respondentsâ high rates of nonresponse regarding self and candidate positions on issue |
| PMDB None of the above Figure 3. Probability of Voting for Lula by Distance to Alckmin on Ideology and Party ID (Juiz de Fora) Probability of voting for Lula by Distance to Alckmin on ideology 1 (Caxias do Sul) .9 .8 .7 .6 .5 .4 .3 .2 .1 0 0 .5 1 1.5 Distance to Alckmin on ideology PT PSDB PMDB None of the above Figure 4. Probability of Voting for Lula by Distance to Alckmin on Ideology and |
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