This paper develops several simple multivariate statistical models and applies them to explain fluctuations in the aggregate vote for the United States House of Representatives, over the period 1896-1964. The basic hypothesis underlying these models is that voters are rational in at least the limited sense that their decisions as to whether to vote for an incumbent administration depend on whether its performance has been “satisfactory” according to some simple standard. Because of data limitations, the analysis focuses on measures of economic performance, treating other aspects of an incumbent's performance, such as its handling of foreign affairs, as stochastic perturbations of the underlying relationship to be estimated. (Examination of residuals suggests this assumption is not unreasonable, at least during peacetime.) Possible effects of coattails from presidential races, of incumbency, and of secular trends in the underlying partisanship of the electorate are also taken into account. The models, estimated by maximum-likelihood methods, are found to be successful. Close to two-thirds of the variance in the vote series is accounted for, and the structural coefficients of the models are of the correct signs and of quite reasonable magnitudes. Economic growth, as measured by the changes in real per capita income, is the major economic variable; unemployment or inflation have little independent effect. Presidential coattails are also found to be of some importance.
Several aggregate-level studies have found a relationship between macroeconomic conditions and election outcomes, operating in intuitively plausible directions. More recent survey-based studies, however, have been unable to detect any comparable relationship operating at the individual-voter level. This persistent discrepancy is puzzling. One recently proposed explanation for it is that voters actually behave in an altruistic or “sociotropic” fashion, responding to economic events only as they affect the general welfare, rather than in terms of self-interested “pocketbook” considerations.It is argued here that the discrepancies between the macro- and microlevel studies are a statistical artifact, arising from the fact that observable changes in individual welfare actually consist of two unobservable components, a government-induced (and politically relevant) component, and an exogenous component caused by life-cycle and other politically irrelevant factors. Because of this, individual level cross-sectional estimates of the effects of welfare changes on voting are badly biased and are essentially unrelated to the true values of the behavioral parameters of interest: they will generally be considerable underestimates and may even be of the wrong sign. An aggregate-level time-series analysis, on the other hand, will often yield reasonably good (if somewhat attenuated) estimates of the underlying individual-level effects of interest. Therefore, in this case, individual behavior is best investigated with aggregate- rather than individual-level data.It is also shown that the evidence for sociotropic voting is artifactual, in the sense that the various findings and evidence which ostensibly show sociotropic behavior are all perfectly compatible with the null hypothesis of self-interested, pocketbook voting.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.