The Construction of an Asset Index at Household Level and Measurement of Economic Disparities in Punjab (Pakistan) by using MICS Micro-Data

Tanveer A Naveed; David Gordon; Sami Ullah; Mary Zhang

doi:10.1007/s11205-020-02594-3

The Construction of an Asset Index at Household Level and Measurement of Economic Disparities in Punjab (Pakistan) by using MICS Micro-Data

Tanveer A Naveed^*, David Gordon, Sami Ullah, Mary Zhang

^*Corresponding author for this work

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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 the Multiple Indicators Cluster Survey (MICS) 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.

Original language	English
Pages (from-to)	73-95
Number of pages	23
Journal	Social Indicators Research
Volume	155
Issue number	1
DOIs	https://doi.org/10.1007/s11205-020-02594-3
Publication status	Published - 4 Jan 2021

Research Groups and Themes

SPS Centre for the Study of Poverty and Social Justice

Keywords

asset index
Classical Test Theory
Item Response Theory
explanatory factor analysis
Gini-coefficient
Palma ratio
Punjab

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title = "The Construction of an Asset Index at Household Level and Measurement of Economic Disparities in Punjab (Pakistan) by using MICS Micro-Data",

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 the Multiple Indicators Cluster Survey (MICS) micro-data. An asset index may be a better measure than current income or expenditure for gauging a household{\textquoteright}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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AU - Naveed, Tanveer A

AU - Gordon, David

AU - Ullah, Sami

AU - Zhang, Mary

PY - 2021/1/4

Y1 - 2021/1/4

N2 - 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 the Multiple Indicators Cluster Survey (MICS) 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.

AB - 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 the Multiple Indicators Cluster Survey (MICS) 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.

KW - asset index

KW - Classical Test Theory

KW - Item Response Theory

KW - explanatory factor analysis

KW - Gini-coefficient

KW - Palma ratio

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DO - 10.1007/s11205-020-02594-3

M3 - Article (Academic Journal)

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SP - 73

EP - 95

JO - Social Indicators Research

JF - Social Indicators Research

IS - 1

ER -

The Construction of an Asset Index at Household Level and Measurement of Economic Disparities in Punjab (Pakistan) by using MICS Micro-Data

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Keywords

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