Building an integrated poverty measure by three poverty profiles
How to Cite
Zharomsky V.S. Building an integrated poverty measure by three poverty profiles. Population. 2019. Vol. 22. No. 1. P. 92-105. DOI: https://doi.org/10.19181/1561-7785-2019-00007 (in Russ.).
Abstract
On the basis of estimating three poverty profiles calculated on sample surveys data, the article presents the methods for obtaining an integrated poverty measure, which solves the model of latent structural analysis with binary classes. In such surveys as Parents and Children, Men and Women in Family, HSE Russian Longitudinal Monitoring Survey, Russian Household Budget Survey, there are questions characterizing different profiles of poverty — economic, deprivation and subjective. The last-mentioned profile presents a subjective perception of one’s position on the scale of living standards. Estimates by the three profiles measure different sides of poverty, but it is not clear how they are harmonized, and whether latent poverty is statistically reflected in them. The model of the latent structural analysis may give a positive or negative answer to this question. In case of the positive answer it is proposed to take the probability of latent poverty as an integrated poverty measure. The article provides the results of calculations for three groups of households: those of pensioners, of able-bodied persons, and mixed households consisting of pensioners and the able-bodied. On the data from the largest Rosstat survey — Statistical Survey of Income and Participation in Social Programs (VNDN) were made estimates of latent poverty for urban and rural population of Russia, for households with different number of children. It shows that latent poverty and coherence of different population groups are not contrary to the meaningful views on the phenomenon. It is found out that the understated size of the subsistence minimum (absolute poverty line) leads to lack of coherence between three estimates for households of pensioners. In this case, feeling of poverty and deprivation levels are not in line with the economic estimation of poverty.
Keywords:
poverty estimates, latent-structural analysis, modeling, sample survey, socio-demographic groups of population
References
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Ovcharova L. N. Sotsial’no-demograficheskiy profil’, faktory i formy proyavleniya bednosti rossiyskogo naseleniya [Socio-demographic profile, factors and forms of the signs of poverty of the Russian population]. Thesis for Dr. Sc. degree in Econ. Moscow. ISEPN RAN [ISESP RAS]. 2011. (in Russ.)
Korchagina I. I., Prokofieva L. M., Popova R. I. Nemonetarnoye izmereniye bednosti i sotsial’naya uyazvimost’ naseleniya [Non-monetary measure of poverty and social vulnerability of the Russian population]. Narodonaseleniye [Population]. 2015. No.1. P. 82–94. (in Russ.)
Dinamika monetarnykh i nemonetarnykh kharakteristik urovnya zhizni rossiyskikh domokhozyaystv za gody postsovetskogo razvitiya [Dynamics of Monetary and Non-Monetary Characteristics of the Russian Households’ Living Standards in the Years of the Post-Soviet Development]. Analytical report. Moscow. Fond «Liberal’naya missiya» [Liberal Mission Foundation] 2014. (in Russ.)
Townsend P. Poverty in the U. K. London. Penguin. 1979.
Van Praag B., Goedhart T., Kapteyn A. The poverty line. A pilot survey in Europe. Review of Economics and Statistics. 1980.
Matematicheskiye metody v sotsial’nykh naukakh [Mathematical Methods in Social Sciences]. Moscow. Progress. 1973. (in Russ.)
Matematicheskiye metody v sovremennoy burzhuaznoy sotsiologii [Mathematical Methods in Modern Bourgeois Sociology]. Moscow. Progress. 1966. (in Russ.)
Velikanova T. B. Razvitiye metodologii v oblasti izmereniya neravenstva i bednosti pri perekhode na novyye istochniki informatsii: opyt i problemy [Development of methodology in the field of measuring inequality and poverty when going over to new sources of information: experience and problems]. Available at: http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.15/2017/ Expert-meeting-Montenegro-2017/Informations/PPT_s/Russia-presentation_ru.pdf (in Russ.)
Citation Formats
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APA
Zharomsky, V. S. (2019). Building an integrated poverty measure by three poverty profiles. Population, 22(1), 92-105. https://doi.org/10.19181/1561-7785-2019-00007
Section
ESTIMATION OF POVERTY AND WAYS TO ITS REDUCTION
