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In Search of Poverty Predictors: The Case of Urban and Rural Pakistan

Author

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  • Haroon Jamal

    (Social Policy and Development Center, Karachi.)

Abstract

The main objective of this research is to provide correlates of household consumption or poverty using the latest household survey. The estimated coefficients and their weights may be used to predict poverty incidence from light monitoring survey such as Core Welfare Indicator Questionnaire (CWIQ). The CWIQ survey instrument essentially collects simple welfare indicators from a large segment of population and is not designed to measure income, consumption or expenditure. The paper estimates consumption functions separately for urban and rural areas. These functions are estimatedwith the help of non-monetary correlates of consumption and applied to predict poverty at provincial and district levels. The paper also provides the latest estimates of poverty in the country using a consistent methodology. Overall, 33 percent people were poor, according to estimates from the latest available household survey of 2001-02. Incidence, depth, and severity of poverty are high in rural areas, as compared to their urban counterpart.

Suggested Citation

  • Haroon Jamal, 2005. "In Search of Poverty Predictors: The Case of Urban and Rural Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 44(1), pages 37-55.
    • Handle: RePEc:pid:journl:v:44:y:2005:i:1:p:37-55
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    Citations

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    Cited by:

    1. Zafar Mueen Nasir & Nasir Iqbal, 2009. "Employers Size Wage Differential: Does Investment in Human Capital Matter?," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 48(4), pages 509-521.
    2. Nasir Iqbal & Masood Sarwar Awan, 2015. "Determinants of Urban Poverty: The Case of Medium Sized City in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(4), pages 719-738.
    3. M. Tariq Majeed & M. Nauman Malik, 2015. "Determinants of Household Poverty: Empirical Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(4), pages 701-718.
    4. Manzoor Hussain Memon & Naveed Aamir & Nadeem Ahmed, 2018. "Climate Change and Drought: Impact of Food Insecurity on Gender Based Vulnerability in District Tharparkar," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 57(3), pages 307-321.
    5. Siddiqui, Sabeen & Anwar, Zubair & Batool, Saira & Habib, Nusrat & Naheed, Sobia & Zahra, Naheed, 2014. "Physioeconomic Poverty Analysis of Grade 1 Employees of Rawalpindi City, Pakistan," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 4(01), pages 1-7, January.
    6. Farah Said & Tareena Musaddiq & Mahreen Mahmud, 2011. "Macro level Determinants of Poverty: Investigation Through Poverty Mapping of Districts of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 50(4), pages 895-911.
    7. Kifayat Ullah & Muhammad Zubair Chishti, 2023. "Spatial distribution of poverty in Pakistan: an asset-based approach," Future Business Journal, Springer, vol. 9(1), pages 1-20, December.
    8. Jan, Dawood & Chishti, Anwar F. & Eberle, Phillip R., 2008. "An Analysis of Major Determinants of Poverty in Agriculture Sector in Pakistan," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6241, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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