G2TT
来源类型Discussion paper
规范类型论文
来源IDDP5214
DP5214 The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets
Joseph Francois; Hugo Rojas-Romagosa
发表日期2005-09-23
出版年2005
语种英语
摘要This paper develops a simple theoretical model that can be implemented to estimate the willingness to pay for distributive justice. We derive a formula that allows one to recover the willingness to pay for distributive justice from the estimated coefficients of a probit regression and fiscal data. Using this formula and data from a 1998 Gallup Social Audit, we find that the monetary value of justice in the United States is about one fifth of GDP. We also generalize the model to estimate the value of justice for different types of people (e.g., Republicans, Democrats, urban dwellers, rural dwellers). We find no evidence that the value of justice varies across types of people. This is consistent with the idea that political differences between types are due to differences in the beliefs about the fairness of the market system, rather than differences in the values they place on distributive justice.
主题Public Economics
关键词Distributive justice Governmental redistribution Fairness
URLhttps://cepr.org/publications/dp5214
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/534088
推荐引用方式
GB/T 7714
Joseph Francois,Hugo Rojas-Romagosa. DP5214 The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets. 2005.
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