FUZZY LINGUISTIC FORECASTING OF SOCIAL MOBILITY


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Əliyev A.

Journal Of Economic Sciences: Theory And Practice, vol.76, no.2, pp.4-20, 2019 (Peer-Reviewed Journal)

Abstract

In the article the mobility of social groups is estimated and predicted in order to investigate and analyze the wellbeing situation in the context of sustainable development in the Republic of Azerbaijan, to make proposals and recommendations for development in this direction. The examining of welfare, social inequality, and poverty has concluded that these indicators are not always sufficient to comprehend. In order to gain a complete picture, it is necessary to study income mobility or change of population income over time. If social mobility is high enough, concerns about the uneven distribution of income in the society can be diminished, resulting in unnecessity for redistribution of income at the societal level. In this paper we estimated mobility for social strata based on the H. Theil, and G. S. Fields and E. A. Ok indices and forecasted data through a fuzzy linguistic Markov chain for the next time period. Constructed models can be useful in the development of policies for poverty elimination and sustainable economic development