دورية أكاديمية
The first moment of income density functions and estimation of single-parametric Lorenz curves.
العنوان: | The first moment of income density functions and estimation of single-parametric Lorenz curves. |
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المؤلفون: | Liang Frank Shao |
المصدر: | PLoS ONE, Vol 17, Iss 6, p e0267828 (2022) |
بيانات النشر: | Public Library of Science (PLoS), 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Medicine LCC:Science |
مصطلحات موضوعية: | Medicine, Science |
الوصف: | This paper discusses the first moment, i.e., the mean income point, of income density functions and the estimation of single-parametric Lorenz curves. The mean income point is implied by an income density function and associated with a single-parametric Lorenz function. The boundary of the mean income point can show the flexibility of a parametric Lorenz function. I minimize the sum of squared errors in fitting both grouped income data and the mean income point and identify the best parametric Lorenz function using a large panel dataset. I find that each parametric Lorenz function may do a better job than others in fitting particular grouped data; however, a zero- and unit-modal single-parametric Lorenz function is identified to be the best of eight typical optional functions in fitting most (666 out of 969) observations of a large panel dataset. I perform a Monte Carlo simulation as a robustness check of the empirical estimation. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1932-6203 |
Relation: | https://doaj.org/toc/1932-6203 |
DOI: | 10.1371/journal.pone.0267828 |
URL الوصول: | https://doaj.org/article/7d76d975e3374de2b3a98016fe9bef45 |
رقم الأكسشن: | edsdoj.7d76d975e3374de2b3a98016fe9bef45 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 19326203 |
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DOI: | 10.1371/journal.pone.0267828 |