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  20 Pages Download PDF: Analysis of Poverty Determinants in Pakistan: Insights from Household-Level Data

  Analysis of Poverty Determinants in Pakistan: Insights from Household-Level Data

  Misbah Nosheen, Mohammad Tahir , Javed Iqbal

  2024-06-15 https://doi.org/10.36923/jcmi.v5i1.573

  The study identifies different household-level determinants of poverty in Pakistan. The study makes use of PSLM (Pakistan Social and Living Standard Measurement) data for the year 2019–2020. By evaluating the Logit and Probit regression models, this study identifies economic factors that contribute to poverty. According to the findings, poverty is positively correlated with the dependence ratio and the number of people with disabilities. In addition, households with literate household heads have lower rates of poverty. Similarly, household heads in urban areas are more likely to have lower levels of poverty than rural residents. Moreover, Sindh has the highest level of poverty, whereas KP has the lowest. Therefore, poverty may be decreased by offering free education, job opportunities, and good planning for population expansion. Because family size has a direct impact on the dependency ratio, governmental efforts to reduce household size must be encouraged. In a similar manner, rehabilitation programs should be created, and monthly transfer payments should be provided to people with disabilities. Therefore, initiatives must be taken to reduce the disparities in the country's infrastructure, health, and education.

  pp. 71-90 Abstract views:432 Downloads:128