Abstract:
Poverty is a multidimensional concept allowing to perform different studies in many different areas. The aim of this study is evaluation and measurement of poverty in Albania by comparing poverty of urban and rural regions. In the poverty complex area this study is focused more on comparison of how different individuals concept poverty, and on evaluation of different factors mainly affecting poverty.
To achieve the main goals of this study and to perform the necessary estimation is used a survey based on deep literature review. Questioners are used to collect the needed data and information to attain the result and perform the analyses on the context of poverty in rural and urban regions of Albania. There are interviewed 1005 individuals from four different regions of Albania. Regions are determinate according to the allocation method of INSTAT and distribution of questioners is based on the percentage of each region population in order to avoid any possible bias. Based on literature review some of the collected information that are more related to poverty are used as data to performed a more detailed analyzes on econometrical programs. Analysis of variance is used to compare the difference between each group on its own and between other groups’ variables taken in the analyses. There are used different test of autocorrelation and the Chi-square test in Wald test is used to determine if coefficients of each independed variable are zero or different to zero. In the last part of the study, regression analyses are performed to define the relation between independent variables (education level, age and family members) and dependent variable (monthly income). All analyzes performed for rural and urban region data’s are done separately. Besides, are analyzes also other data to compare the necessary level of poverty of the two regions, of the total population and of the women in particularity.
Based on the result it is observed that the total incomes which represent the standard of living are differently affected by education, family members and age in urban and rural areas.
