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An Assessment of Vulnerability to Poverty in Punjab, Pakistan: Subjective Choices of Poverty Indicators

Author

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  • Muhammad Masood Azeem

    (The University of Western Australia (UWA)
    The University of Western Australia
    The University of Agriculture)

  • Amin W. Mugera

    (The University of Western Australia (UWA)
    The University of Western Australia)

  • Steven Schilizzi

    (The University of Western Australia (UWA)
    The University of Western Australia
    The University of Western Australia)

  • Kadambot H. M. Siddique

    (The University of Western Australia)

Abstract

This paper investigates whether estimating vulnerability to poverty using consumption expenditures and food calorie intake provide consistent policy implications based on the vulnerability as expected poverty framework. Feasible generalized least square (3FGLS) method is applied on large data-set of about 90,000 households in the Punjab province, Pakistan. The results indicate that the analysis based on the two approaches results in considerable geographic differences in the distribution of vulnerability to poverty. The implication of our results is that anti-vulnerability interventions based on monetary indicators of poverty will penalize those regions with low monetary poverty but high nutrition poverty.

Suggested Citation

  • Muhammad Masood Azeem & Amin W. Mugera & Steven Schilizzi & Kadambot H. M. Siddique, 2017. "An Assessment of Vulnerability to Poverty in Punjab, Pakistan: Subjective Choices of Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 117-152, October.
    • Handle: RePEc:spr:soinre:v:134:y:2017:i:1:d:10.1007_s11205-016-1419-x
    DOI: 10.1007/s11205-016-1419-x
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    7. Mousumi Das, 2021. "Vulnerability to Food Insecurity: A Decomposition Exercise for Rural India using the Expected Utility Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 167-199, July.
    8. Antonio Acconcia & Maria Carannante & Michelangelo Misuraca & Germana Scepi, 2020. "Measuring Vulnerability to Poverty with Latent Transition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 1-31, August.
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