Bayesian estimation of social welfare and tax progressivity measures
AbstractThis paper examines Bayesian methods of examining posterior distributions of inequality, concentration, tax progressivity and social welfare measures. Use is made of an explicit income distribution assumption and two alternative assumptions regarding the distribution of pre-tax mean incomes within each income group. The methods are applied to a simulated distribution of individual incomes and tax payments. It is possible to identify a minimum acceptable number of income classes to be used. The results suggest support for the use of group means in practical applications, particularly where large sample sizes are available. Copyright Springer-Verlag Berlin Heidelberg 2003
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Bibliographic InfoArticle provided by Springer in its journal Empirical Economics.
Volume (Year): 28 (2003)
Issue (Month): 1 (January)
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Other versions of this item:
- Chotikapanich, D. & Creedy, J., 2000. "Bayesian Estimation of Social Welfare and Tax Progressivity Measures," Department of Economics - Working Papers Series 751, The University of Melbourne.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- D60 - Microeconomics - - Welfare Economics - - - General
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
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