New fuzzy multiple regressions for the instantaneous and panel data “The determinants of Poverty in the Countries MENA”

Besma Belhadj

Physica A: Statistical Mechanics and its Applications, 2023, vol. 615, issue C

Abstract: Habitually, to determine the effect of certain economic and social variables on poverty in MENA, a classical multiple regression with a framework defined a priori verifying several limiting assumptions and easily misused is used. We propose, in this paper, a fuzzy alternative approach to classical multiple regressions with cross-sectional and panel data and explain how the proposed fuzzy methods works in a simple setting. As illustration, we estimates and analyze the effect of the annual GDP growth rate, unemployment rate, inflation rate and the annual population growth rate on poverty in MENA.

Keywords: Fuzzy endogenous regressor; Fuzzy parameters; Fuzzy mathematical modeling; Cross-sectional data; Panel data (search for similar items in EconPapers)
JEL-codes: C53 C60 I32 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:615:y:2023:i:c:s0378437123001206

DOI: 10.1016/j.physa.2023.128565

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