Party Size and Portfolio Payoffs: The Proportional Allocation of Ministerial Posts in Coalition Governments

Over 30 years ago, Eric Browne and Mark Franklin demonstrated that parties in a coalition tend to receive portfolio payoffs in almost perfect proportionality to their seat share. Even though this result has been confirmed in several studies, few researchers have asked what the underlying mechanism is that explains why parties receive a proportional payoff. The aim of this paper is to investigate the causal mechanism linking party size and portfolio payoffs. To fulfil this aim, a small-n analysis is performed. By analysing the predictions from a statistical analysis of all post-war coalition governments in 14 Western European countries, two predicted cases are selected, the coalitions that formed after the 1976 Swedish election and the 1994 German election. In these case studies two hypotheses are evaluated: that the proportional distribution of ministerial posts is the result of a social norm, and that parties obtain payoffs according to their bargaining strength. The results give no support to the social norm hypothesis. Instead, it is suggested that proportionality serves as a bargaining convention for the actors involved, thus rendering proportional payoffs more likely.     

The impacts of welfare reform on recipients of housing assistance

Abstract

This article uses data from randomized evaluations in Indiana and Delaware to address three questions: (1) Are welfare recipients who receive federal housing assistance less employable than recipients who do not? (2) How does the impact of welfare reform compare for families with and without housing assistance? (3) Does welfare reform increase or decrease the use of such assistance?

Although public housing residents may be more disadvantaged than welfare recipients who do not get housing assistance, voucher users and Section 8 project‐based recipients were not. Welfare reform had similar impacts on the earnings and welfare benefits of families that received housing assistance and those that did not. Where impacts did differ, they were larger for families receiving assistance. Welfare reform also reduced the receipt of housing assistance. Families that receive assistance appear to have less financial strain than families that do not, suggesting that assistance may increase overall financial stability.     

Missing the Wake-up Call: Why Intelligence Failures Rarely Inspire Improved Performance

After major intelligence failures it is often asked why intelligence and security officials failed to heed the many ‘wake-up calls’ that had been provided by earlier failures and surprises. This article addresses this question by examining intelligence failures as ‘focusing events’, which is a concept used in the literature on government policy making to explain how disasters and crises can stimulate policy change and help organizations and decision-makers learn. It argues that in order for an intelligence failure such as a major terrorist attack to inspire improved intelligence performance – to be a true wake-up call – that failure must not only act as a focusing event to bring more attention to the threat, but it must also lead to increased intelligence collection and greater receptivity toward intelligence on the part of decision-makers.     

Legal Regulation of the Use of Race in Medical Research

In this article, we discuss current legal restrictions governing the use of race in medical research. In particular, we focus on whether the use of race in various types of research is presently permitted under federal law and the federal constitution. We also discuss whether federal restrictions on the use of race in research ought to be expanded, and whether federal policies that encourage the use of race ought to be abandoned.     

Hague Case Law — Latest Developments

Netherlands International Law Review -     

Hague Case Law — Latest Developments

Netherlands International Law Review -     

Exploring the Genesis of Economic Innovations: The Religious Gestalt-Switch and the Duty to Invent as Preconditions for Economic Growth

This paper discusses changes in the level of knowledge, i.e. learning, as a key source of economic growth, and argues that historically a radical change in attitude towards new knowledge has been a necessary precondition for economic growth. The Renaissance created this radically new attitude in Europe, and this paper discusses contributions to economic theory and economic policy of some of the most influential scientists involved in this process: Francis Bacon (1561-1626) in England, and Leibniz (1646-1716) and Christian Wolff (1679-1754) in Germany. It is argued that these polyhistors viewed economic change as a dynamic knowledge-based process–a view that has important similarities with modern evolutionary or Schumpeterian economics. These similarities have so far not been recognized, and the paper suggests that modern economic theory would benefit from studying the theoretical and practical economics of these philosophers who laid the foundations for the industrial revolution.     

Variability and Similarity of Gait as Evaluated by Joint Angles: Implications for Forensic Gait Analysis

Closed‐circuit television (CCTV) footage is used in criminal investigations to compare perpetrators with suspects. Usually, incomplete gait cycles are collected, making evidential gait analysis challenging. This study aimed to analyze the discriminatory power of joint angles throughout a gait cycle. Six sets from 12 men were collected. For each man, a variability range VR (mean ± 1SD) of a specific joint angle at a specific time point (a gait cycle was 100 time points) was calculated. In turn, each individual was compared with the 11 others, and whenever 1 of these 11 had a value within this individual's VR, it counted as positive. By adding the positives throughout the gait cycle, we created simple bar graphs; tall bars indicated a small discriminatory power, short bars indicated a larger one. The highest discriminatory power was at time points 60–80 in the gait cycle. We show how our data can assess gait data from an actual case.