Abstract
The focus of the chapter is to examine the role of various idiosyncratic (household specific) and generic (co-variant) factors like development work pushing some household into poverty while facilitating others to remain above the poverty. The Logistic regression model is estimated on the household data on the proposed determinants of a household falling into poverty. The results from the total consumption-based poverty line estimates have been revalidated by re-estimating the model on food and calorie-based poverty lines. Education, ownership of land and livestock, access to infrastructure and civic services, remittances, geographical location, and development initiatives helps people to escape the risk of falling into poverty. Idiosyncratic shocks, generic shocks, gender, and occupation play significant role in increasing the probability of a household to fall into poverty.
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Hakim Haider, M., Kumar, S. (2018). Determinants of Poverty in Afghanistan. In: Poverty in Afghanistan. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-030-10859-5_4
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