Monday, 8 November 2021

Probability Model for Poverty Index | Chapter 13 | Recent Advances in Mathematical Research and Computer Science Vol. 2

 The Lorenz curve and Gini-concentration co-efficient were used to describe the income inequality of households in the chosen hamlet, and the incidence of poverty as measured by Foster-Greer-Thorbecke (FGTPoverty )'s Gap (PG) was utilised as a poverty indicator. The purpose of this paper is to investigate and explore the problem of poverty and the incidence of income disparity in the Thanga Karang study region. The research also intends to investigate the mode of income distribution among the study area's households. Thanga Karang, with its 257 households, is considered a chosen village. A household survey was done to acquire information regarding poverty. The parameters and are fitted to the beta distribution using the method of moments and the maximum likelihood approach after a statistical analysis of PG. 's statistically significant values are and's statistically significant values are and's statistically significant values are and's statistically significant α ̂ = 0.2989 and (β ) ̂= 3.4722 by method of moments; (α ) ̂= 1.459 and (β ) ̂= 3.001  Using the highest likelihood technique. As a result, the PG, which is a poverty indicator, best matches the model (i.e. Beta distribution). According to the study, the Gini concentration co-efficient is 0.5253. It implies that 52.53 percent of the time, there is income inequality in the home.



Author(S) Details

Salam Sovachandra Singh
Department of Statistics, S. Kula Women’s College, India.

S. Shantikumar. Singh
Department of Statistics, Manipur University, Imphal-795003, India.

S. Opendra. Singh
Department of Statistics, Manipur University, Imphal-795003, India.

View Book:- https://stm.bookpi.org/RAMRCS-V2/article/view/4461

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