Abstract:
Social problems remain world-class challenges. The cause and origin of most social problems lie in poverty
and poverty. Poverty is assessed according to various criteria, and it is important that the assessment system
adequately reflects the real situation. Certain recommendations are offered by international organizations, but
it is necessary to take into account the specifics of a particular country or region. When assessing poverty,
extrapolation of data from studies conducted on a sample population on population by statistical weighting is
carried out, and the simulation method is also used. As a rule, demographic and social statistics are taken into
account. A relatively balanced assessment of the existing differentiation is the so-called Adjusted (equivalent)
scales, as well as the prevalence of poverty, which are determined by subtracting the indices of low-income
(expenditure) deficit, severity and depth of poverty. Regression models are used to estimate and predict
poverty. The variety of methods for assessing poverty is due to problems that arise at certain times and in
certain spaces. They can be overcome only as a result of complex and purposeful work, in which a scientifically
based assessment system plays an important role.
Description:
1. ანანიაშვილი, ი. (2012). ეკონომეტრიკა. თბილისი. მერიდიანი
2. გელაშვილი, ს. (2019). შესავალი სტატისტიკურ პროგნოზირებაში. თბილისი. უნივერსალი
3. კაკულია, მ., კაპანაძე, ნ., ქურხული, ლ. (2017) ქრონიკული სიღარიბე და შემოსავლების უთანაბრობა საქართველოში. ეკონომიკურ-სტატისტიკური გამოკვლევა. საქართველოს სტრატეგიისა და საერთაშორისო ურთიერთობების კვლევის ფონდი. თბილისი.
4. საქართველოს სტატისტიკის ეროვნული სამსახური. მოძიებულია https://geostat.ge -დან.
5. ცარციძე, მ. (2022). უმუშევრობა და სიღარიბე საქართველოში. თბილისი. უნივერსიტეტის
გამომცემლობა
6. Abramo, L., Cecchini, S.. & Morales, B. (2019). Social programmes, poverty eradication and labour
inclusion Lessons from Latin America and the Caribbean. ECLAC Books, United Nations. Retrieved from
https://repositorio.cepal.org/bitstream/handle/11362/44622/1/S1900004_en.pdf
7. Allen, R. C. (2020). Poverty and the Labor Market: Today and Yesterday. Annual Review of Economomics.
8. Dean, J & Prydz, E. (2017). Societal poverty: a relative and relevant measure. Policy Research working
paper; no. WPS 8073, Washington, D.C. : World Bank Group.
9. Foster, J., Greer, J., & Thorbecke, E. (2010). The Foster–Greer–Thorbecke (FGT) poverty measures: 25
years later. The Journal of Economic Inequality. 8 (4)
10. Mankiw, G. (2016). Principles of Economics. Boston. Cengage.
11. OECD (2011), Divided We Stand – Why Inequality Keeps Rising, Paris. Retrieved from
www.oecd.org/social/inequality.htm/www.oecd.org/fr/social/inegalite.
12. Smith, H., Pettgrew, T., & Huo, I. (2020). Relative Deprivation Theory: Advances and ApplicationsAdvances
and Applications. In book: Social Comparison, Judgment, and Behavior.
13. Social Programs (2022). Governmant of Canada. Retrieved from https://www.sacisc.
gc.ca/eng/1100100035072/1521125345192
14. Social Programs That Work. Retrieved from https://evidencebasedprograms.org/
15. Shapiro, A. F. (2005) Fuzzy regression models. ACM, Penn State University.
16. Tanaka, H., Uejima, S., & Asai, K. (1982). Linear regression analysis with fuzzy model. IEEE Transactions on
Systems, Man, and Cybernetics, Vol. 12.
17. Tanaka, H., & Watada, J. (1988). Possibilistic linear system and their application to the linear regression
model. Fuzzy Sets and Systems, Vol. 27.
18. World Bank. (2022). Poverty. Retrieved from https://www.worldbank.org/en/topic/poverty