Voting Weights and Formateur Advantages in the Formation of Coalition Governments

Over the last two decades a large and important literature has emerged that uses game theoretic models of bargaining to study legislative coalitions. To test key predictions of these models, we examine the composition of coalition governments from 1946 and 2001. These predictions are almost always expressed in terms of parties' minimal-integer voting weights. We calculate such weights for all parliamentary parties. In addition, we develop a statistical model that nests the predictions of many of these models of the distribution of posts. We find that for parties that join (but did not form) the government, there is a linear relationship between their share of the voting weight in parliament and their share of cabinet posts. The party that forms the government (the formateur) receives a substantial "bonus" relative to its voting weight. The latter finding is more consistent with proposal-based bargaining models of coalition formation and suggests that parties gain disproportionate power not because of their size but because of their proposal power.     

Planning and Animal Welfare Law: Considering Why Planning Authorities in the Republic of Ireland Should have Regard to Animal Welfare Laws as Part of the Planning Process

Liverpool Law Review - Animal welfare legislation routinely places obligations on owners of animals to take action to ensure that the welfare of the animal(s) is protected. Such legislation often...     

Bayesian and Likelihood Inference for 2 x 2 Ecological Tables: An Incomplete-Data Approach

Ying Lu Department of Sociology, University of Colorado at Boulder, Boulder, CO 80309 e-mail: ying.lu{at}colorado.edu Aaron Strauss Department of Politics, Princeton University, Princeton, NJ 08544 e-mail: abstraus{at}princeton.edu e-mail: kimai{at}princeton.edu (corresponding author) Ecological inference is a statistical problem where aggregate-leveldata are used to make inferences about individual-level behavior.In this article, we conduct a theoretical and empirical studyof Bayesian and likelihood inference for 2 x 2 ecological tablesby applying the general statistical framework of incompletedata. We first show that the ecological inference problem canbe decomposed into three factors: distributional effects, whichaddress the possible misspecification of parametric modelingassumptions about the unknown distribution of missing data;contextual effects, which represent the possible correlationbetween missing data and observed variables; and aggregationeffects, which are directly related to the loss of informationcaused by data aggregation. We then examine how these threefactors affect inference and offer new statistical methods toaddress each of them. To deal with distributional effects, wepropose a nonparametric Bayesian model based on a Dirichletprocess prior, which relaxes common parametric assumptions.We also identify the statistical adjustments necessary to accountfor contextual effects. Finally, although little can be doneto cope with aggregation effects, we offer a method to quantifythe magnitude of such effects in order to formally assess itsseverity. We use simulated and real data sets to empiricallyinvestigate the consequences of these three factors and to evaluatethe performance of our proposed methods. C code, along withan easy-to-use R interface, is publicly available for implementingour proposed methods (Imai, Lu, and Strauss, forthcoming). Authors' note: This article is in the part based on two workingpapers by Imai and Lu, "Parametric and Nonparamateric BayesianModels for Ecological Inference in 2 x 2 Tables" and "QuantifyingMissing Information in Ecological Inference." Various versionsof these papers were presented at the 2004 Joint StatisticalMeetings, the Second Cape Cod Monte Carlo Workshop, the 2004Annual Political Methodology Summer Meeting, and the 2005 AnnualMeeting of the American Political Science Association. We thankanonymous referees, Larry Bartels, Wendy Tam Cho, Jianqing Fan,Gary King, Xiao-Li Meng, Kevin Quinn, Phil Shively, David vanDyk, Jon Wakefield, and seminar participants at New York University(the Northeast Political Methodology conference), at PrincetonUniversity (Economics Department and Office of Population Research),and at the University of Virginia (Statistics Department) forhelpful comments.     

Uncertain candidates, valence, and the dynamics of candidate position-taking

This paper offers graphic illustration of so-called “valence” models of candidates responding to their perceptions of voter location in a two-party system. Models by Groseclose and others show how the combination of candidate uncertainty about the median voter location, nonzero candidate valence, and policy motivated candidates leads to departures from the median voter prediction. With one policy dimension, either there exists an equilibrium where the candidates do not converge to the median (or any other common position) or there exists no equilibrium. We offer illustrations based on plausible conditions. Under some conditions we show an equilibrium where candidates locate at separate policy positions. Under others, we illustrate the absence of equilibrium.     

An enterprise-development strategy for Zambia

Although Zambia's deteriorating macro-economic situation has created a difficult environment for business, it also creates opportunities for the emergence of small and micro enterprises. Recent government policy reforms affecting these firms are discussed, along with existing programmes for credit, training, technical assistance, and common-site facilities/business incubators. The current programmes are limited in scope relative to the potential demand, and qualitative improvements are needed. Time-phased options for assisting small and micro enterprises are discussed.