Skewness And Kurtosis Properties Of Income Distribution Models
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- James McDonald & Patrick A. Turley & Jeff Sorensen, 2011. "Skewness and Kurtosis Properties of Income Distribution Models," LIS Working papers 569, LIS Cross-National Data Center in Luxembourg.
References listed on IDEAS
- Singh, S K & Maddala, G S, 1976. "A Function for Size Distribution of Incomes," Econometrica, Econometric Society, vol. 44(5), pages 963-970, September.
- McDonald, James B. & Ransom, Michael R., 1981. "An analysis of the bounds for the Gini coefficient," Journal of Econometrics, Elsevier, vol. 17(2), pages 177-188, November.
- McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-663, May.
- Erich Battistin & Richard Blundell & Arthur Lewbel, 2009.
"Why Is Consumption More Log Normal than Income? Gibrat's Law Revisited,"
Journal of Political Economy,
University of Chicago Press, vol. 117(6), pages 1140-1154, December.
- Erich Battistin & Richard Blundell & Arthur Lewbel, 2007. "Why is consumption more log normal than income? Gibrat's law revisited," IFS Working Papers W07/08, Institute for Fiscal Studies.
- Erich Battistin & Richard Blundell & Arthur Lewbel, 2007. "Why is Consumption More Log Normal Than Income? Gibrat's Law Revisited," Boston College Working Papers in Economics 671, Boston College Department of Economics.
- Thurow, Lester C, 1970. "Analyzing the American Income Distribution," American Economic Review, American Economic Association, vol. 60(2), pages 261-269, May.
- Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
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- Michael McAler & Hang K. Ryu & Daniel J. Slottje, 2017.
"A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries,"
Tinbergen Institute Discussion Papers
17-102/III, Tinbergen Institute.
- Hang K. Ryu & Daniel J. Slottje & Michael McAleer, 2017. "A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries," Documentos de Trabajo del ICAE 2017-25, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- McAleer, M.J. & Ryu, H.K. & Slottje, D.J., 2017. "A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries," Econometric Institute Research Papers EI2017-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- David Mauler & James McDonald, 2015.
"Option Pricing and Distribution Characteristics,"
Springer;Society for Computational Economics, vol. 45(4), pages 579-595, April.
- David J. Mauler & James B. McDonald, 2012. "Option Pricing and Distribution Characteristics," BYU Macroeconomics and Computational Laboratory Working Paper Series 2012-08, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
- Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
- repec:gam:jecnmx:v:6:y:2018:i:2:p:21-:d:141682 is not listed on IDEAS
- Jingjing Bai & Wei Gu & Xiaodong Yuan & Qun Li & Feng Xue & Xuchong Wang, 2015. "Power Quality Prediction, Early Warning, and Control for Points of Common Coupling with Wind Farms," Energies, MDPI, Open Access Journal, vol. 8(9), pages 1-18, August.
- repec:eee:ecoedu:v:59:y:2017:i:c:p:87-104 is not listed on IDEAS
- Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
More about this item
- C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
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