Determints of Poverty in (11) Selected Developing Countries: Dynamic Panel Data Analysis During Period(2000-2020)

Abstract

In order to identify the causes of poverty in 11particular developing nations between 2000 and 2020, calculating a regression for the research sample's poverty rate(pov)using seven explanatory variables as its dependent variables. using three dynamic models the Group Mean Model (MG), the Combined Group Mean Model (PMG), and the Dynamic Static Effects (DFE) that were created using the Autoregressive Backward Distributions (ARDL) technique and Panel Data. The chosen model was then put through theoretical, statistical and economic analysis, and the outcomes were evaluated. Trade openness, the human development index, and economic growth were each determined to be significant Long term, globalization contributes to a decrease in poverty. In other words, while the results indicated that each of the determinants Gini coefficient of income inequality and non-existence index contributes to the alleviation of poverty Political stability and the index of corruption control have a detrimental effect on the expansion of poverty, causing the rate to increase The value of the determination coefficient (R^2 )indicates that about 63% of the changes in poverty for the study sample are attributed to Parameters included in the estimated model.