Abstract
The main objectives of this study are to construct a valid and reliable asset index at household level and to estimate economic disparities in 36 districts of Punjab (Pakistan) by using Multiple Indicator Cluster Survey micro-data. An asset index may be a better measure than current income or expenditure for gauging a household’s long-term capacity for buying goods and services and its potential resilience to economic shocks. This paper provides details of the results from Exploratory Factor Analysis (EFA) and Tetrachoric Principal Component Analysis (PCA) for the dimensional structure of assets. We have applied Classical Test Theory (CTT) and Item Response Theory (IRT) in order to construct a reliable household level asset index. In Punjab, Lahore has the highest asset index score followed by Gujrat and Sialkot. Gini-coefficient index and the Palma ratio analyses show that the asset distribution in the district of Rajanpur is highly unequal.
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Notes
This paper is part of the PhD project “Measurement and determinants of human development disparities at household level in Punjab (Pakistan)” of the corresponding author.
\(= ci + \left( {1 - ci} \right){ }\frac{{e^{{a_{i} \left( {{\uptheta } - b_{i} } \right)}} }}{{1 + e^{{a_{i} \left( {{\uptheta } - b_{i} } \right)}} }} \ldots \ldots \ldots \ldots \ldots \left( {\text{IRT Model }} \right)\)
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Naveed, T.A., Gordon, D., Ullah, S. et al. The Construction of an Asset Index at Household Level and Measurement of Economic Disparities in Punjab (Pakistan) by using MICS-Micro Data. Soc Indic Res 155, 73–95 (2021). https://doi.org/10.1007/s11205-020-02594-3
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DOI: https://doi.org/10.1007/s11205-020-02594-3
Keywords
- Asset index
- Classical test theory
- Item response theory
- Exploratory factor analysis
- Gini-coefficient
- Palma ratio
- Punjab