دورية أكاديمية
On Estimating the Poverty Gap and the Poverty Severity Indices with Auxiliary Information
| العنوان: | On Estimating the Poverty Gap and the Poverty Severity Indices with Auxiliary Information |
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| اللغة: | English |
| المؤلفون: | Muñoz, J. F., Álvarez-Verdejo, E., García-Fernández, R. M. |
| المصدر: | Sociological Methods & Research. Aug 2018 47(3):598-625. |
| الإتاحة: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 28 |
| تاريخ النشر: | 2018 |
| نوع الوثيقة: | Journal Articles Reports - Research |
| Descriptors: | Poverty, Simulation, Income, Socioeconomic Status, Expenditures, Well Being, Social Indicators, Equations (Mathematics), Computation, Surveys, Monte Carlo Methods, Foreign Countries, Differences, Measurement |
| مصطلحات جغرافية: | European Union, Bulgaria, Spain, Slovenia, Italy, United Kingdom, Poland, Lithuania, Belgium |
| DOI: | 10.1177/0049124115626178 |
| تدمد: | 0049-1241 |
| مستخلص: | Many poverty measures are estimated by using sample data collected from social surveys. Two examples are the poverty gap and the poverty severity indices. A novel method for the estimation of these poverty indicators is described. Social surveys usually contain different variables, some of which can be used to improve the estimation of poverty measures. The proposed estimation methodology is based on this idea. The variance estimation and the construction of confidence intervals are also topics addressed in this article. Real survey data, extracted from the European Union Survey on Income and Living Conditions and based on various countries, are used to investigate some empirical properties of our estimators via Monte Carlo simulation studies. Empirical results indicate that the suggested methods can be more accurate than the customary estimator. Desirable results are also obtained for the proposed variances and confidence intervals. Various populations generated from the Gamma distribution also support our findings. |
| Abstractor: | As Provided |
| Number of References: | 54 |
| Entry Date: | 2018 |
| رقم الأكسشن: | EJ1185543 |
| قاعدة البيانات: | ERIC |
Full Text Finder | تدمد: | 0049-1241 |
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| DOI: | 10.1177/0049124115626178 |