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Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data
Biewen, Martin; Jenkins, Stephen P. - 2003
inequality indices when estimated from complex survey data. It turns out that this method also greatly simpli?es the calculations …
Persistent link: https://www.econbiz.de/10010260665
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Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data
Biewen, Martin; Jenkins, Stephen P. - 2003
inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the …
Persistent link: https://www.econbiz.de/10010262721
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Estimation of Generalized Entropy and Atkinson inequality indices from complex survey data
Biewen, Martin; Jenkins, Stephen - 2003 - This version: 11 April 2003
inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the …
Persistent link: https://www.econbiz.de/10011438447
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Robust Inference on Income Inequality : t-Statistic Based Approaches
Ibragimov, Rustam; Kattuman, Paul; Skrobotov, Anton - 2021
Empirical analyses on income and wealth inequality and those in other fields in economics and finance often face the … of the recently developed \textit{t}-statistic based robust inference approaches in the analysis of inequality measures … equality of two parameters of interest (e.g., a test of equality of inequality measures in two regions or countries considered …
Persistent link: https://www.econbiz.de/10013228108
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Sample sizes for reliably estimating lower and upper income shares in income distribution analysis
Beach, Charles M. - 2023
published by statistical agencies as measures of the distribution of income inequality - to calculate how large a survey sample …
Persistent link: https://www.econbiz.de/10014253712
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Top incomes, heavy tails, and rank-size regressions
Schluter, Christian - In: Econometrics : open access journal 6 (2018) 1, pp. 1-16
In economics, rank-size regressions provide popular estimators of tail exponents of heavy-tailed distributions. We discuss the properties of this approach when the tail of the distribution is regularly varying rather than strictly Pareto. The estimator then over-estimates the true value in the...
Persistent link: https://www.econbiz.de/10011823274
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Anchoring Bias and Covariate Nonresponse
Vazquez-Alvarez, R.; Boner, Christoph - 2004
Non-random item nonreponse makes identification if parameters problematic. Such nonresponse can occur with respect to both dependent and conditioning variables. A method often used to reduce nonresponse is that of adding unfolding brackets as follow up to open-ended questions. With these,...
Persistent link: https://www.econbiz.de/10014073903
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Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality
Davidson, Russell; Duclos, Jean-Yves - 1998
poverty, welfare and inequality. This includes estimators of most of the poverty indices currently in use, as well as …, inequality or social welfare is greater in one distribution than in another for general classes of indices. We also derive the …
Persistent link: https://www.econbiz.de/10014065360
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Nonparametric Bound on the Income Distribution in the Presence of Item Nonresponse
Vazquez-Alvarez, R.; van Soest, Arthur; Melenberg, Bertrand - 1999
Item nonresponse in micro surveys can lead to biased estimates of the parameters of interest if such nonresponse is nonrandom. Selection models can be used to correct for this, but parametric and semiparametric selection models require additional assumptions. Manski has recently developed a new...
Persistent link: https://www.econbiz.de/10014185657
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Kernel Density Estimation Based on Grouped Data : The Case of Poverty Assessment
Minoiu, Camelia; Reddy, Sanjay G. - 2007
Kernel density estimation (KDE) has been prominently used to measure poverty from grouped data (Sala-i-Martin, 2006, QJE). In this paper we analyze the performance of this method. Using Monte Carlo simulations for plausible income distributions and unit data from several household surveys, we...
Persistent link: https://www.econbiz.de/10014050077