On a Class of Poverty Measures

By N. Kakwani. 1980

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Citations in the corpus

Estimating Lorenz Curves Using a Dirichlet Distribution (2002, background): “The function 5 L is the “beta function” proposed by Kakwani (1980) .”
Statistical Inference with Generalized Gini Indices of Inequality, Poverty, and Welfare (2009, unknown): “A fuller discussion of the properties of the S-Gini indices are given in Donaldson and Weymark (1980, 1983), Kakwani (1980), and Yitzhaki (1983).”
Simulating the Potential Impacts of COVID-19 School Closures on Schooling and Learning Outcomes: A Set of Global Estimates (2020, unknown): “Kakwani (1980).”
Inverse stochastic dominance, inequality measurement and Gini indices (2002, methodology): “Ir foUows that a YSWF satisŸ PT, ir and only ir v(p) is nonincreasing (See Mehran 1976, Yaari, 1987, 1988), and also PPTS ir and only ir v(p) is convex (See Mehran, 1976, Kakwani, 1980 and Zoli, 1999).”
The Measurement of Multidimensional Poverty (2003, background): “…on market goods, (ii) 1 Alternatives and variations of the Sen index have been suggested, among others, by Takayama (1979), Blackorby and Donaldson (1980), Kakwani (1980), Clark, Hemming and Ulph (1981), Foster, Greer and Thorbecke (1984), Chakravarty (1990), and Bourguignon and Fields (1997).”
Statistical Size Distributions in Economics and Actuarial Sciences (2003, methodology): “For refinements and further developments, we refer the interested reader to Kakwani (1980b), Arnold (1987), Chakravarty (1990), Mosler (1994), or Cowell (2000) and the references therein.”
$L$-functions, processes, and statistics in measuring economic inequality and actuarial risks (2009, methodology): “For statistical inferential results related to the empirical Gini index Gn, we refer to Gastwirth [30, 31]; see also Zitikis and Gastwirth [101] for results concerning the S-Gini index (see Kakwani [54], Donaldson and Weymark [28], Weymark [92]).”
Parametric Lorenz Curves: Models and Applications (2008, unknown): “We begin studying different measures of inequality together with their expressions in terms of the LC. These measures include the Gini index and some of their generalizations proposed by Kakwani (1980) and Yitzhaki (1983).”
Measuring Fuel Poverty: General Considerations and Application to German Household Data (2013, unknown): “Based on the work of Watts (1968), Sen (1976), Kakwani (1980), Foster, Greer and Thorbecke (1984) and Atkinson (1987), there are well established concepts available that allow an assessment of poverty and the depth of poverty as well.”
Pro-poor Growth: Concepts and Measurement with Country Case Studies (Distinguished Lecture) (2003, unknown): “These studies include Kakwani and Pernia (2000), McCulloch et. al. (2000), Ravallion and Chen (2003), and Son (2003).(2) Each of these studies has its own merits and limitations.”
Is It All About the Tails? The Palma Measure of Income Inequality (2013, unknown): “…the basis of the better performing of two alternatives of the Lorenz curve – the General Quadratic (Villasenor and Arnold, 1989) and the Beta model (Kakwani, 1980).6 It is unsurprising that a regression relationship should be found between Gini coefficients obtained in this way and aggregated…”
A simple method for estimating the Lorenz curve (2021, methodology): “…the same notations for the cumulative normalized rank of income (x) and the cumulative normalized income (y) as denoted in the “Methods” section, the Kakwani (1980)’s functional form for estimating the Lorenz curve is as follows: y xð Þ ¼ x a * xα * 1 xð Þβ ð8Þ a > 0 0 α ≤ 1 0 β ≤ 1 Cheong…”
Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality (2000, unknown): “Members of that linear class include the poverty indices of Sen (1976), Takayama (1979), Thon (1979), Kakwani (1980), Hagenaars (1987), Shorrocks (1995a), and Chakravarty (1997).”