Suchergebnisse

Income Distribution was written primarily as a textbook intended for undergraduate economics majors. The material, however, is treated with sufficient rigor to meet the needs of first year graduate students also. The book may also serve the needs of sociologists and political scientists whoare primarily interested in the related social justice topics of income inequality and poverty. Each chapter is logically connected with the preceding chapters, providing a general overview of income distribution and its applications.

Canonical theories of political economy struggle to explain patterns of distribution in authoritarian regimes. In this Element, Albertus, Fenner, and Slater challenge existing models and introduce an alternative, supply-side, and state-centered theory of 'coercive distribution'. Authoritarian regimes proactively deploy distributive policies as advantageous strategies to consolidate their monopoly on power. These policies contribute to authoritarian durability by undercutting rival elites and enmeshing the masses in lasting relations of coercive dependence. The authors illustrate the patterns, timing, and breadth of coercive distribution with global and Latin American quantitative evidence and with a series of historical case studies from regimes in Latin America, Asia, and the Middle East. By recognizing distribution's coercive dimensions, they account for empirical patterns of distribution that do not fit with quasi-democratic understandings of distribution as quid pro quo exchange. Under authoritarian conditions, distribution is less an alternative to coercion than one of its most effective expressions

Devoted to the problem of fitting parametric probability distributions to data, this treatment uniquely unifies loss modeling in one book. Data sets used are related to the insurance industry, but can be applied to other distributions. Emphasis is on the distribution of single losses related to claims made against various types of insurance policies. Includes five sets of insurance data as examples.