This article analyses the impact of party systems on human well-being and argues that multiparty systems are associated with better welfare outcomes for two primary reasons: first, multiparty systems provide representation to multiple issue-dimensions in society, thereby indicating a more inclusive system, which ensures that diverse societal interests are taken into account during formulation of welfare policies. Second, multiparty systems also indicate a competitive party system, which provides incentives for parties to perform effectively while in office and propels parties to appeal to multiple segments of society by providing broader welfare services. The impact of party systems on human well-being is tested on a global sample of 68 democratic countries from 1975–2000. The findings show support for the hypothesized relationship between party systems and human well-being.

D’ALIMONTE, R. D. R. (2013). The Italian Elections of February 2013: the End of the Second Republic ? CONTEMPORARY ITALIAN POLITICS, 5, 113–129.

A large literature examines the composition of cabinets in parliamentary systems, but very little attention has been paid to the size of those cabinets. Yet not only is the size of the cabinet related to the division of portfolios that may take place, cabinet size is also related to policy outcomes. In this article, a theory of party size is considered which examines how coalition bargaining considerations, intra-party politics and efficiency concerns affect the size of cabinets. Hypotheses derived from the theory are examined using an extensive cross-national dataset on coalition governments which allows us to track changes in cabinet size and membership both across and within cabinets.

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.

The 2013 Italian general elections produced a largely unexpected and destabilizing outcome. The major surprise came from the Movimento 5 stelle (M5s, Five star movement), a brand new, anti-establishment political force which got more than 25% of the valid votes and turned out to be the largest party list in the domestic arena of the Chamber of deputies. The destabilizing nature of the outcome stemmed from the lack of a real winner which ended up in political stalemate. In fact, the center-left won in the Chamber of deputies, but not in the Senate and could not form a cabinet by itself. In the end, the Partito democratico (Pd, Democratic Party) was left with the only unpalatable option to have to form a ‘grand governing coalition’ with Berlusconi’s Popolo delle libertà (Pdl, People of freedom). Indeed, the widespread expectation was that the center-left would win with a large margin. For a long time before the vote most of the polls had indicated that Bersani’s lead was large enough to make his coalition gain the absolute majority of seats in both chambers either alone or together with the Monti’s coalition. It was not the case. Actually, what really happened in the ballot box on February 24th and 25th is still unclear to some extent. Here we will try to give a brief and preliminary explanation, analyzing the background to the election, the results and the role played by the electoral systems, the aggregate vote shifts between the 2013 and 2008 elections, the geographical distributions of the vote, and, finally, the transformation of the party system.