The economic crisis, the fall of the Berlusconi’s cabinet in November 2011 and the formation of the technocratic cabinet led by Mario Monti provided the ground for the general elections held in February 2013, which reached a stalemate, contrary to what most observers expected. The center-left coalition won in the Chamber but not in the Senate. The result in the Senate made it impossible to form a majority coalition between Bersani’s left and Monti’s center, which many considered the most likely outcome of these elections. In the end, the only available option for the PD, the winner in the Chamber, was to form a cabinet with Berlusconi’s PdL. There are many factors explaining this destabilizing result. The first and most important is the success of a brand new anti-establishment party, the Five Star Movement, which attracted voters from across the political spectrum and became the largest party in the country. The second is the inability of the center-left not only to extend its electoral base at a time when the center-right lost almost half of the votes received in 2008, but also to keep its previous electorate. The third factor is the peculiar nature and functioning of the electoral system for the Senate.

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.