Estimation of Lorenz curves based on dummy variable regression
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DOI: 10.1016/j.econlet.2019.01.021
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References listed on IDEAS
- Villasenor, JoseA. & Arnold, Barry C., 1989. "Elliptical Lorenz curves," Journal of Econometrics, Elsevier, vol. 40(2), pages 327-338, February.
- Sarabia, José María & Prieto, Faustino & Jordá, Vanesa, 2015. "About the hyperbolic Lorenz curve," Economics Letters, Elsevier, vol. 136(C), pages 42-45.
- Rohde, Nicholas, 2009. "An alternative functional form for estimating the Lorenz curve," Economics Letters, Elsevier, vol. 105(1), pages 61-63, October.
- Kakwani, N C & Podder, N, 1973. "On the Estimation of Lorenz Curves from Grouped Observations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 278-292, June.
- Wang, ZuXiang & Smyth, Russell, 2015. "A hybrid method for creating Lorenz curves," Economics Letters, Elsevier, vol. 133(C), pages 59-63.
- Wang, ZuXiang & Smyth, Russell, 2015.
"A piecewise method for estimating the Lorenz curve,"
Economics Letters, Elsevier, vol. 129(C), pages 45-48.
- ZuXiang Wang & Russell Smyth, 2015. "A Pricewise Method for Estimating the Lorenz Curve," Monash Economics Working Papers 05-15, Monash University, Department of Economics.
- Chotikapanich, Duangkamon, 1993. "A comparison of alternative functional forms for the Lorenz curve," Economics Letters, Elsevier, vol. 41(2), pages 129-138.
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- Aktaev, Nurken E. & Bannova, K.A., 2022. "Mathematical modeling of probability distribution of money by means of potential formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
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More about this item
Keywords
Income distribution; Lorenz curve; Dummy variable regression;All these keywords.
JEL classification:
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
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