The effect of limited search ability on the quality of competitive rent-seeking clubs

A competitive rent-seeking club (CRSC) offers its members the chance of winning a prize (status, position, privilege) by being selected, typically, by a civil servant or a politician. The selector replaces in our setting the usual contest success function; instead of determining the winner on the basis of the club-members’ efforts, he selects the winner on the basis of quality. This article focuses on the effect of incomplete search of the selector on the efficiency of democratic self-governing and decentralized RSC’s that control admittance to the club and its transparency, assuming that quality of their members is fixed. The incomplete search of the selector is assumed to take the simple form of fixed random sampling of the contestants—the members of the CRSC. Our results imply that, even when active rent-seeking expenditures are disregarded, the decisions of CRSC’s regarding their composition and transparency tend to reduce quality and are therefore inefficient.     

Diagnostics for multivariate imputations

Summary.  We consider three sorts of diagnostics for random imputations: displays of the completed data, which are intended to reveal unusual patterns that might suggest problems with the imputations, comparisons of the distributions of observed and imputed data values and checks of the fit of observed data to the model that is used to create the imputations. We formulate these methods in terms of sequential regression multivariate imputation, which is an iterative procedure in which the missing values of each variable are randomly imputed conditionally on all the other variables in the completed data matrix. We also consider a recalibration procedure for sequential regression imputations. We apply these methods to the 2002 environmental sustainability index, which is a linear aggregation of 64 environmental variables on 142 countries.     

Is Context-Based Choice due to Context-Dependent Preferences?

The rationalization of context-based choice is usually based on the assumption that preferences are context-dependent. In this paper, we show that context-based choice can be due to the characteristics of the choice procedure applied by the individual and not to the dependence of preferences (stochastic or deterministic) on the context. Our arguments are illustrated focusing on the much-studied dominated-alternative effects.     

Monitoring Human Development Goals: A Straightforward (Bayesian) Methodology for Cross-National Indices

We offer a straightforward framework for measurement of progress, across many dimensions, using cross-national social indices, which we classify as linear combinations of multivariate country level data onto a univariate score. We suggest a Bayesian approach which yields probabilistic (confidence type) intervals for the point estimates of country scores—a vital, and often missing, feature in cross-national comparisons. We demonstrate our approach using the United Nations Development Programme’s Millennium Development Goals (MDGs), via the Maternal and Neonatal Program Effort Index (MNPI) data (Ross et al. in Trop Med Inter Health 6(10):787–798, 2001), and Human Development Index (HDI) (2010) as examples.