The Limits of Ecological Inference: The Case of Split-Ticket Voting

We examine the limits of ecological inference methods by focusing on the case of split-ticket voting. Burden and Kimball (1998) report that, by using the King estimation procedure for inferring individual-level behavior from aggregate data, they are the first to produce accurate estimates of split-ticket voting rates in congressional districts. However, a closer examination of their data reveals that a satisfactory analysis of this problem is more complex than may initially appear. We show that the estimation technique is highly suspect in general and especially unhelpful with their particular data.     

Decentralisation of service delivery as adopted by the Central District Council in Botswana

The Central District Council (CDC) in Botswana expanded service delivery to five sub‐districts in January 2000 using a model adapted from the South Somerset District Council, UK. As little data were available on the effectiveness of decentralised service delivery, officials and councillors throughout CDC were interviewed regarding their perception of the process. They not only provided recommendations for enhanced implementation but also identified some of the tensions resulting from it. Copyright © 2004 John Wiley & Sons, Ltd.     

Sustainable development revisited

Before one can talk about “sustainability”, economic development has to have occurred, and the traditional motor for development has always been economic growth, says Professor Karl Heinrich Oppenländer, President of the ifo Institute for Economic Research. He poses the questions, Is growth policy the best social policy? Has the social market economy failed because of its ties to economic growth, or has this growth simply been too small? What would a strict adherence to the concept of sustainable development mean? This paper was originally presented at the IIPS 10th Anniversary Symposium, “Transforming the Global Order for the 21st Century,” held in Tokyo on 18–19 May 1998.     

Adolescent Depressed Mood in a Multiethnic Sample

This research assessed whether there is an impact of race-ethnicity on depressed mood among adolescents, independent of socioeconomic status, whether gender differences in depressed mood are apparent within all race-ethnicity subgroups, and whether pubertal development influences depressed mood in a similar manner within gender and race-ethnicity subgroups. A three-stage, area probability sampling frame was utilized to select adolescents, ages 12–17 years, for an in-person interview. Depressed mood was assessed by the Children's Depression Inventory. Compared to Whites, African Americans, or Asian Americans, Latinos reported more symptoms of depressed mood, a finding that was independent of socioeconomic status. Advancing puberty was associated with depressed mood only among females, but the timing of pubertal changes, relative to ones peers, was related to depressed mood among both males and females, and among Latinos.     

A spatial analysis of candidate competition in dual member districts: The 1989 Chilean senatorial elections

This study uses empirical spatial theory to evaluate candidate and voter behavior in senate elections contested during the 1989 Chilean general election. The study evaluates whether senatorial candidates competing in dual member districts under Chilean d'Hondt locate near the periphery or interior of the electoral space. Spatial analyses demonstrate the Chilean senatorial electoral system is characterized by centrifugal forces. In particular, candidates of the right locate on the periphery of the space and face few incentives to pursue moderate electoral strategies. The study also characterizes bases of party and candidate support and the underlying dimensions of political competition. Spatial analysis reveals both change and continuity in the pre- and post-authoritarian electoral universes.     

Directional and proximity models of voter choice in recent US presidential elections

This note evaluates relative ability of the proximity and recently proposed directional variants of the spatial model of voter choice to account for candidate evaluations in US presidential elections contested between 1980 and 1992. I do this by estimating a statistical model that represents voter preference for a candidate as a weighted average of proximity and directional components. The analysis corroborates previous studies supporting the directional model, but illustrate that these results are sensitive to statistical specification. Alternative methodological specifications favor a mixed directional-proximity model and the traditional distance representation.