The dynamics of aggregate political popularity: evidence from eight countries

This paper extends previous analyses of aggregate political popularity (par tisanship) data by Box-Steffensmeier and Smith (Box-Steffensmeier, J.M., Sm ith, R.M., 1996. The dynamics of aggregate partisanship. American Political Science Review 90 (September), 567-580) for the US, and Byers et al. (Byer s, D., Davidson, J., Peel, D.A., 1997. Modelling political popularity: an a nalysis of long-range dependence in opinion poll series. Journal of the Roy al Statistical Society Series A, 160, 471-490) for the UK. These studies in dependently found that the time series of poll ratings are well modelled by fractionally integrated processes. Here, the analysis is conducted for 26 political parties in eight different countries, and the results obtained ar e on the whole closely in line with the ones cited above. As in the earlier studies, we find in many of our cases that the estimated fractional integr ation parameter d is close to 0.7. This implies that popularity is highly p ersistent and a nonstationary process, but that it is also mean-reverting e ventually. Most of the time series are also found to be pure fractional noi se, effectively uncorrelated after fractional differencing, so that the d p arameter alone accounts for the dependence. As well as offering added suppo rt for theories of political allegiance based on a certain distribution of the attributes of commitment and pragmatism in the voting population, these findings have important implications for the explanation of political supp ort using time series data. (C) 1999 Elsevier Science Ltd. All rights reser ved.