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A Simultaneous Equation Model of Canadian Voting Behaviour*
Published online by Cambridge University Press: 10 November 2009
Abstract
Recent research on voting in United States presidential elections has begun to disentangle long-term and short-term components of electoral choice. This has been achieved through the use of complex models involving instrumental variables and two-stage or three-stage least squares regression. These techniques are particularly appropriate to understanding the voting decision in Canada because of the short-term variability of partisan identifications. Modelling voting choice, using simultaneous equations and data from the 1979 Canadian National Election Study, it was found that the major attitudinal determinants of voting—party identification and attitudes towards issues and party leaders—were strongly related to one another and to the direction of vote whereas sociodemographic characteristics were only weakly related to political attitudes and behaviour. In addition, the strength of these variables may vary across the major parties in any given election.
Résumé
Grâce à des recherches récentes sur le vote durant les élections présidentielles des États-Unis, on a commencé à isoler les différentes composantes à court et à long terme du choix électoral. Cela a été réalisé grâce a l'emploi de modèles complexes comportant des variables constitutives et des calculs de régressions en deux ou trois étapes par la méthode des moindres carrés. Ces techniques conviennent particulièrement pour aider à comprendre le choix électoral au Canada, à cause de la variation à court terme des identifications à un parti. La modélisation de la représentation du choix électoral à l'aide d'équations simultanées et de données provenant de l'enquête sur les élections nationales canadiennes de 1979, a permis de montrer que les principales attitudes qui déterminent le choix électoral—identification à un parti et attitudes envers les problèmes de l'heure et les leaders de parti—étaient liées les unes aux autres et à la direction du vote. Les caractéristiques socio-démographiques, elles n'avaient qu'un faible lien avec les attitudes et le comportement politiques. De plus, on a trouvé que l'importance de ces variables peut différer selon les grands partis et pour chaque élection particulière.
- Type
- Research Article
- Information
- Canadian Journal of Political Science/Revue canadienne de science politique , Volume 20 , Issue 3 , September 1987 , pp. 553 - 572
- Copyright
- Copyright © Canadian Political Science Association (l'Association canadienne de science politique) and/et la Société québécoise de science politique 1987
References
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2 See, for example, Jackson, John, “Issues, forty Choices and Presidential Voting,” American Journal of Political Science 19 (1975), 161–86;CrossRefGoogle ScholarMarkus, Gregory and Converse, Philip, “A Dynamic Simultaneous Equation Model of Electoral Choice,” American Political Science Review 73 (1979), 1055–70;CrossRefGoogle ScholarPage, Benjamin and Jones, Calvin, “Reciprocal Effects of Policy Preferences, Party Loyalties and the Vote,” American Political Science Review 73 (1979), 1071–89;CrossRefGoogle Scholar and Frankl, Charles in and Jackson, John, “The Dynamics of Party Identification,” American Political Science Review 77 (1983), 957–73.CrossRefGoogle Scholar
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5 Data from the 1979 Canadian National Election Study were provided by the Inter-University Consortium for Political and Social Research (ICPSR). The data were originally collected by Harold Clarke, Jane Jenson, Lawrence LeDuc, and Jon Pammett. Neither the ICPSR nor the original collectors of the data bear any responsibility for analyses or interpretations presented herein.
6 Endogenous variables are those whose values are determined by the model. In an ordinary least squares equation, they generally are known as dependent variables (that is, they represent the event[s] explained by the model). In a non-recursive system of equations, endogenous variables may be both dependent variables (that is, they may be predicted by the model), and they in turn may be used to predict the values of other variables. See, for example, Hanushek, Eric and Jackson, John, Statistical Methods for Social Scientists (New York: Academic Press, 1977), 225201328.Google Scholar For a further discussion and application, see Erlanger, Howard and Winsborough, Halliman, “The Subculture of Violence Thesis: An Example of a Simultaneous Equation Model in Sociology,” Sociological Methods and Research 5 (1976), 231–46;CrossRefGoogle Scholar and Wanner, Richard and Lewis, Lionel, “The Functional Theory of Stratification: A Test of Some Structural Hypotheses,” Sociological Quarterly 19 (1978), 414–28.CrossRefGoogle Scholar
7 Exogenous variables usually are referred to as independent variables. Their values are determined outside of the model and are taken as given. See Hanushek and Jackson, Statistical Methods for Social Scientists, 225–28.
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9 Page and Jones, “Reciprocal Effects of Policy Preferences, Party Loyalties and the Vote,” 1073. Technically, individuals vote directly for a slate of electors from their state who are part of the electoral college and who are pledged to vote for the presidential candidate receiving a plurality of votes from their state.
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17 See Johnston, “The Reproduction of the Religious Cleavage in Canada,” 107–12, fora discussion of the importance of political context. A classic statement of the importance of context can be found in Lazarsfeld, Paul, Berelson, Bernard, and Gaudet, Hazel, The People's Choice (New York: Columbia University Press, 1944).Google Scholar
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23 To take an extreme example, suppose Trudeau was rated 100, Clark rated 0, and Broadbent rated 50. A weighted score for Broadbent, calculated as (leader C - [leader A + leader B + leader C] / 3) = Broadbent rating, would yield the same results as would the evaluations of Trudeau = 50, Clark = 50, and Broadbent = 50, despite the fact that the two individuals rated the candidates very differently. Although using the single-candidate thermometer rating is not statistically better than the weighted score, it may be inferentially superior.
24 Respondents were asked whether: (a) they were satisfied or dissatisfied with their economic condition and lives more generally, and (b) government had an effect on their condition. Responses were scored as follows: very satisfied = 2; fairly satisfied = 1; a little dissatisfied = -1; very dissatisfied = -2. These scores were multiplied by government's perceived impact responses, which were scored as follows: A great deal = 2; some = 1; not much = 0. The resulting index ranges from +4 to -4. A comparable index was generated for general life satisfaction, and the two measures were combined to yield an overall index with scores ranging from +8 to -8. For a previous application of this scale see, Kornberg, Allan, Clarke, Harold and Stewart, Marianne, “Federalism and Fragmentation: Political Support in Canada,” Journal of Politics 41 (1979), 889–905.CrossRefGoogle Scholar
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27 To maximize the number of cases analyzed in the model, I have substituted the mean value for missing data, the effect of which has been to “flatten” the regression line. Although this procedure weakened the model overall, the eight-fold increase in the number of cases used in the analysis greatly increased our confidence in the reliability of results. Interestingly, in all but a few instances, the relative strength of the coefficients has been unaffected. Note that the explained variance (R-square) presented at the bottom of each table corresponds to the “vote” equation.
28 Archer, “The Failure of the New Democratic Party,” 362.
29 LeDuc et al., “Partisan Instability in Canada,” 481; Kornberg et al., Representative Democracy in the Canadian Provinces, 114–22.
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