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Home > Catalogue > Population Issues in Social Choice Theory, Welfare Economics, and Ethics
Population Issues in Social Choice Theory, Welfare Economics, and Ethics


  • 20 b/w illus. 32 tables
  • Page extent: 378 pages
  • Size: 228 x 152 mm
  • Weight: 0.509 kg
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 (ISBN-13: 9780521532587 | ISBN-10: 0521532582)

DOI: 10.2277/0521532582

  • Also available in Hardback
  • Published November 2005

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 (Stock level updated: 09:41 GMT, 30 November 2015)


This book presents an exploration of the idea of the common or social good, extended so that alternatives with different populations can be ranked. The approach is, in the main, welfarist, basing rankings on the well-being, broadly conceived, of those who are alive (or ever lived). The axiomatic method is employed, and topics investigated include: the measurement of individual well-being, social attitudes toward inequality of well-being, the main classes of population principles, principles that provide incomplete rankings, principles that rank uncertain alternatives, best choices from feasible sets, and applications. The chapters are divided, with mathematical arguments confined to the second part. The first part is intended to make the arguments accessible to a more general readership. Although the book can be read as a defense of the critical-level generalized-utilitarian class of principles, comprehensive examinations of other classes are included.

• Authors internationally known for their work on the subject matter, including analytical basis for evaluating policy decisions • Multidisciplinary focus embraces economics, ethics, and public policy in particular • Chapters divided into nontechnical and technical sections, making overall argument accessible to a broad audience


1. Introduction; 2. The measurement of individual well-being; 3. Welfarist social evaluation; 4. Fixed-population principles; 5. Population principles; 6. Characterizations and possibilities; 7. Uncertainty and incommensurabilities; 8. Independence and the existence of the dead; 9. Temporal consistency; 10. Choice problems and rationalizability; 11. Applications.

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