Ricerca

Ricerca

Ricerca

A multidisciplinary seminar series for empirical research on democratic representation The CISE (Italian Center for Electoral Studies) organizes a seminar series articulated on a weekly basis. The first series of seminars will run, on an experimental weekly basis, in November and December 2018. It was born from: the need and interest of the CISE to establish a practice of open discussion for the work in progress of its researchers; the aim to establish and consolidate a network of scientific interaction relating the CISE within the LUISS research community (both in the Department of Political Science and in other departments) and with...

Cellini, E., Cigliuti, K., & De Sio, L. (2011). Numeri e storie: una doppia strategia d’indagine. In L. De Sio (Ed.), La politica cambia, i valori restano? Una ricerca sulla cultura politica dei cittadini toscani (pp. 33–44). Firenze: Firenze U...

Multidimensional scaling (or MDS) is a methodology for producing geometric models of proximities data. Multidimensional scaling has a long history in political science research. However, most applications of MDS are purely descriptive, with no attempt to assess stability or sampling variability in the scaling solution. In this article, we develop a bootstrap resampling strategy for constructing confidence regions in multidimensional scaling solutions. The methodology is illustrated by performing an inferential multidimensional scaling analysis on data from the 2004 American National Election Study (ANES). The bootstrap procedure is very simple, and it is adaptable to a wide variety of MDS models. Our approach enhances the utility of multidimensional scaling as a tool for testing substantive theories while still retaining the flexibility in assumptions, model details, and estimation procedures that make MDS so useful for exploring structure in data.

Lorenzo De Sio Party systems across the Western world appear increasingly challenged. After the 1990s and 2000s saw the prevalence of a two-bloc (or two-party) competition by mainstream parties with relatively similar, moderate policies, recent years have seen an unprecedented emergence of successful challenger parties (and leaders), with examples both on the right-wing (e.g. Donald Trump, the UKIP, the Front National) and on the left wing (e.g. Bernie Sanders, SYRIZA, Podemos, Jeremy Corbyn and Benoît Hamon). Such new, challenger parties and leaders share instead a conflictual emphasis on a relatively small set of controversial policy issues that have proved electorally...

This paper proposes a general theory of individual-level heterogeneity in economic voting based on the perspective that the strength of the relationship varies with factors that influence the relevance of the economic evaluation to the vote choice. We posit that the electoral relevance of the economic evaluation increases with the strength of partisanship as well as political sophistication. Given the strong correlation between partisanship and sophistication, this theoretical perspective casts doubt on extant evidence that more sophisticated voters are more likely to hold the incumbent party electorally accountable for macroeconomic performance since this result might be an artifact of failing to control for the economic evaluation being more relevant to the vote choice of stronger partisans. Our statistical investigation of this question finds no significant evidence that sophistication conditions the economic voting relationship once the conditioning effect of partisanship is included in the model. This finding suggests that individual-level heterogeneity in the strength of the economic voting relationship is largely due to stronger partisans voting more consistently with their national economic evaluation than to more sophisticated voters being more policy-oriented by holding the incumbent party more electorally accountable for macroeconomic performance.