Abstract/Description

The study proves that education level, nature of employment, asset ownership, and gender contribute significantly to income inequality. The study further indicates that changes in income distribution for the bottom of the population through paid employment, female income, and asset ownership could impact income inequality. The study's results can be used to assess policy impact on social welfare and help policymakers design targeted interventions, develop efficient taxation, and create a sustainable model for inclusive growth.

Location

MCS-3, AMAN-CED, Ground Floor

Session Theme

2A: Equalizing Opportunities

Session Type

Parallel Technical Session

Session Discussant

Malik Inayatullah Jan, Institute of Development Studies (IDS), Peshawar

Start Date

17-11-2023 11:50 AM

End Date

17-11-2023 1:20 PM

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Nov 17th, 11:50 AM Nov 17th, 1:20 PM

Analyzing household income inequality: A subgroup decomposition of generalized entropy measures

MCS-3, AMAN-CED, Ground Floor

The study proves that education level, nature of employment, asset ownership, and gender contribute significantly to income inequality. The study further indicates that changes in income distribution for the bottom of the population through paid employment, female income, and asset ownership could impact income inequality. The study's results can be used to assess policy impact on social welfare and help policymakers design targeted interventions, develop efficient taxation, and create a sustainable model for inclusive growth.