Inference for Income Distributions Using Grouped Data

By Gholamreza Hajargsht, William E. Griffiths, J. Brice, D. S. P. Rao, D. Chotikapanich, G. Hajargasht. 2012

54 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bf7886cbe9ba9c69f2327e3d9045b619f2ad1aba

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In Economics and Econometrics

1. Emmanuel Flachaire
2. Frank A. Cowell
3. Ann Owens

In Sociology and Political Science

1. Emmanuel Flachaire
2. Frank A. Cowell
3. Paul T. von Hippel
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7. Samuel Kotz
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Citations in the corpus

• Statistical Methods for Distributional Analysis (2015, methodology): “Further, the first mode is located just to the left of 6The problem of statistical inference with grouped data is discussed in Hajargasht et al. (2012). 7The data are unweighted (each country as equal weight) and are taken from the Penn World Table of Summers and Heston (1991). The horizontal axis i”
• Robust Estimation of Inequality from Binned Incomes (2014, background): “However, the GMM estimator is difficult to optimize and can break down when the second moment does not exist or the estimates get close to the edge of the parameter space (Hajargasht et al. 2012).”