Determinants of Poverty among Workers in Metro and Nonmetro Areas of the South

Abstract

This analysis examines selected factors affecting work and poverty in metro and nonmetro areas of the South, including rates of labor force participation and the demographic, economic, industrial and occupational characteristics of the working poor. The results indicate that being a female head of household is the most important factor in distinguishing poor and nonpoor working persons. The odds of workers in female-headed families being poor was nearly six times higher than for workers in other family types. The number of earners in the family, race, and industry structure are also significant in accounting for the variation in poverty status among employed persons. The implications of these findings for ameliorating the plight of the working poor are explored.

Determination of poverty among the poor and needy in a developing country

“…The results show education is an important determinant, which supports the findings of most previous researches (Wong et. Al., 2017;Thompson & McDowell, 1994;Rodriguez & Smith, 1994;Grootaert, 1995;Zake & Naude, 2002). Based on Table 4, an increase of a year of formal education after the mean number of years of the sample reduces the probability of a household falling into poverty by 0.931.…”

“…Alternatively, binary response models have been initiated by Bardhan (1984) as a better measurement of the determinants of poverty and have been widely used (Egondi et al, 2015;Ranathunga, 2015;Alderman & Garcia, 1993;Gaiha, 1988;Grootaert, 1997;Lanjouw & Stern, 1991;Rodriguez & Smith, 1994;Serumaga Zake & Naude, 2002;Thompson & McDowell, 1994;Ntuli, 2007). This model collapses the distribution into two values; poor or non-poor.…”

Does financial inclusion alleviate household poverty? Empirical evidence from Indonesia

“…This model is useful for exploring the determinants of poverty based on different characteristics of households. Indeed, the Logit model has been applied in various studies analyzing determinants of poverty (see for examples Thompson and McDowell (1994), Coulombe and McKay (1996), Deutsch and Silber (2006), Mok, Gan, and Sanyal (2007), de Silva (2008), Achia et al (2010), Imai, Gaiha, and Kang (2010), Sekhampu (2013) and Dartanto and Nurkholis (2013). In the current study, special attention is paid to whether financial inclusion affects the probability of a household being in severe poverty.…”