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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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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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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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Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data
Biewen, Martin; Jenkins, Stephen P. - 2021
inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the …
Persistent link: https://www.econbiz.de/10013319962
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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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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. - 2012
Grouped data have been widely used to analyze the global income distribution because individual records from nationally representative household surveys are often unavailable. In this paper we evaluate the performance of nonparametric density smoothing techniques, in particular kernel density...
Persistent link: https://www.econbiz.de/10014220028
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Measurement Error in Income and Schooling, and the Bias of Linear Estimators
Bingley, Paul; Martinello, Alessandro - 2014
The characteristics of measurement error determine the bias of linear estimators. We propose a method for validating economic survey data allowing for measurement error in the validation source, and we apply this method by validating Survey of Health, Ageing and Retirement in Europe (SHARE) data...
Persistent link: https://www.econbiz.de/10014148700