Abstract
This paper applies a novel inequality estimation method to household consumption expenditure in Mumbai, India. Since the richest households may be missing in survey data, this re-estimated inequality figure takes them into account by combining survey data with house price data. However, application of this method does not indicate that the survey-based Gini coefficient of 0.447 underestimates consumption inequality in Mumbai; none of the ten investigated scenarios
yields a higher estimate. Further analyses are necessary to assess the robustness of estimates and the usefulness of applying this method to the whole of urban India.
yields a higher estimate. Further analyses are necessary to assess the robustness of estimates and the usefulness of applying this method to the whole of urban India.
Original language | English |
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Number of pages | 14 |
Publication status | Published - Dec 2018 |
Publication series
Name | WIDER Working Paper |
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Publisher | UNU-WIDER |
No. | 181/2018 |
Keywords
- Inequality
- India
- Top incomes
- House prices