Economic theories of voting argue that party popularity and vote are heavily influenced by the performance of the economy. Inferences about the direction of causality between perceptions of the economy and party support remain questionable, however. This article evaluates the microfoundations of economic theories of voting and party popularity using multiwave panel data. We model the dynamic relationships between party support and retrospective economic perceptions-both sociotropic and egocentric-through the 1992-97 British electoral cycle. Our findings indicate that sociotropic perceptions are strongly conditioned by prior opinions of the incumbent Conservative Party and once this temporal relationship is taken into account, they have little affect on incumbent party popularity. Throughout the electoral cycle, lagged political support has a substantially stronger effect on sociotropic perceptions than the latter have on concurrent party support. Moreover, egocentric perceptions appear to be neither strongly affected nor influenced by party support. The findings of these dynamic individual-level analyses indicate that conventional wisdom is likely to considerably overstate the importance of retrospective economic considerations for political preferences.

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Using hierarchical linear models fitted to data from the World Values Survey and national statistics for 35 countries, this article builds on the postmaterialist thesis by assessing the impact of economic inequality across and within nations on attitudes toward homosexuality. It provides evidence that tolerance tends to decline as national income inequality rises. For professionals and managers, the results also support the postmaterialist argument that economic development leads to more tolerant attitudes. On the other hand, attitudes of the working class are generally less tolerant, and contrary to expectations of the postmaterialist thesis, are seemingly unaffected by economic development. In other words, economic development influences attitudes only for those who benefit most. These findings have political implications, suggesting that state policies that have the goal of economic growth but fail to consider economic inequality may contribute to intolerant social and political values, an attribute widely considered detrimental for the health of democracy.

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An "effect display" is a graphical or tabular summary of a statistical model based on high-order terms in the model. Effect displays have previously been defined by Fox (1987Fox ( , 2003 for generalized linear models (including linear models). Such displays are especially compelling for complicated models-for example, those including interactions or polynomial terms. This paper extends effect displays to models commonly used for polytomous categorical response variables: the multinomial logit model and the proportionalodds logit model. Determining point estimates of effects for these models is a straightforward extension of results for the generalized linear model. Estimating sampling variation for effects on the probability scale in the multinomial and proportional-odds logit models is more challenging, however, and we use the delta method to derive approximate standard errors. Finally, we provide software for effect displays in the R statistical computing environment. . We are grateful to Georges Monette for checking some of the derivations in this paper, and to Michael Ornstein and two anonymous reviewers for helpful suggestions. * McMaster University 225 226 FOX AND ANDERSEN