Measuring Social Welfare | An Introduction. Questo articolo non è disponibile.
Lingua: inglese
Editore: Oxford University Press, 2019
- Brossura
- Nuovo



Immagine dell’articolo 1 di 2
Da: preigu, Osnabrück, Germaniapreigu
Venditore con 5 stelle
Venditore AbeBooks dal 5 agosto 2024
Non disponibile
Brossura
Condizione: Nuovo
EUR 65,30
Descrizione dell’articolo da parte del venditore
Measuring Social Welfare | An Introduction | Matthew D Adler | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Oxford University Press | EAN 9780190643034 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Codice articolo 120655284
- Titolo
- Measuring Social Welfare | An Introduction
- Autore
- Matthew D Adler
- Editore
- Oxford University Press
- Anno di pubblicazione
- 2019
- Condizione
- Neu
- Rilegatura
- Taschenbuch
- Lingua
- inglese
- ISBN 10
- 019064303X
- ISBN 13
- 9780190643034
- Peso dell'articolo
- 567 grammi
- Dimensioni
- 234 x 156 x 20 mm
- Cataloghi dei venditori
- Bücher
Disputes over government policies rage in a number of areas. From taxation to climate change, from public finance to risk regulation, and from health care to infrastructure planning, advocates debate how policies affect multiple dimensions of individual well-being, how these effects balance against each other, and how trade-offs between overall well-being and inequality should be resolved.
How to measure and balance well-being gains and losses, is a vexed issue. Matthew D. Adler advances the debate by introducing the social welfare function (SWF) framework and demonstrating how it can be used as a powerful tool for evaluating governmental policies. The framework originates in welfare economics and in philosophical scholarship regarding individual well-being, ethics, and distributive justice. It has three core components: a well-being measure, which translates each of the possible policy outcomes into an array of interpersonally comparable well-being numbers, quantifying how well off each person in the population would be in that outcome; a rule for ranking outcomes thus described ; and an uncertainty module, which orders policies understood as probability distributions over outcomes. The SWF framework is a significant improvement compared to cost-benefit analysis (CBA), which quantifies policy impacts in dollars, is thereby biased towards the rich, and is insensitive to the distribution of these monetized impacts. The SWF framework, by contrast, uses an unbiased measure of well-being and allows the policymaker to consider both efficiency (total well-being) and equity (the distribution of well-being).
Because the SWF framework is a fully generic methodology for policy assessment, Adler also discusses how it can be implemented to inform government policies. He illustrates it through a detailed case study of risk regulation, contrasting the implication of results of SWF and CBA. This book provides an accessible, yet rigorous overview of the SWF approach that can inform policy-makers and students.
How to measure and balance well-being gains and losses, is a vexed issue. Matthew D. Adler advances the debate by introducing the social welfare function (SWF) framework and demonstrating how it can be used as a powerful tool for evaluating governmental policies. The framework originates in welfare economics and in philosophical scholarship regarding individual well-being, ethics, and distributive justice. It has three core components: a well-being measure, which translates each of the possible policy outcomes into an array of interpersonally comparable well-being numbers, quantifying how well off each person in the population would be in that outcome; a rule for ranking outcomes thus described ; and an uncertainty module, which orders policies understood as probability distributions over outcomes. The SWF framework is a significant improvement compared to cost-benefit analysis (CBA), which quantifies policy impacts in dollars, is thereby biased towards the rich, and is insensitive to the distribution of these monetized impacts. The SWF framework, by contrast, uses an unbiased measure of well-being and allows the policymaker to consider both efficiency (total well-being) and equity (the distribution of well-being).
Because the SWF framework is a fully generic methodology for policy assessment, Adler also discusses how it can be implemented to inform government policies. He illustrates it through a detailed case study of risk regulation, contrasting the implication of results of SWF and CBA. This book provides an accessible, yet rigorous overview of the SWF approach that can inform policy-makers and students.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Informazioni sull’autore
Matthew D. Adler is the Richard A. Horvitz Professor of Law and Professor of Economics, Philosophy, and Public Policy at Duke University, and is the founding director of the Duke Center for Law, Economics and Public Policy. His scholarship is interdisciplinary, drawing from both welfare economics and normative ethics.
Adler is the author of New Foundations of Cost-Benefit Analysis (Harvard, 2006; co-authored with Eric Posner) and Well-Being and Fair Distribution: Beyond Cost-Benefit Analysis (Oxford, 2012). He edited the Oxford Handbook of Well-Being and Public Policy with Marc Fleurbaey (2016). He was an editor of the journal Legal Theory until 2017, and is now an editor of the journal Economics and Philosophy.
Adler is the author of New Foundations of Cost-Benefit Analysis (Harvard, 2006; co-authored with Eric Posner) and Well-Being and Fair Distribution: Beyond Cost-Benefit Analysis (Oxford, 2012). He edited the Oxford Handbook of Well-Being and Public Policy with Marc Fleurbaey (2016). He was an editor of the journal Legal Theory until 2017, and is now an editor of the journal Economics and Philosophy.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.
Risultati della ricerca per Measuring Social Welfare | An Introduction
Ci sono altre 11 copie di questo libroVisualizza tutti i risultati