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Published in: Journal of Quantitative Economics 4/2023

15-07-2023 | Original Article

Getting Real in the Real Consumption Expenditure: A Case of Rural India

Authors: S. S. Swathysree, Manisha Chakrabarty, Debopriti Bhattacharya

Published in: Journal of Quantitative Economics | Issue 4/2023

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Abstract

Despite being well-established that relative price changes have significant implications for the consumption expenditure pattern of households and the measurements of economic well-being, the standard practice of price adjustments using aggregate price indices ignores relative price changes—thus giving an inaccurate picture of the well-being of the population. This paper highlights the bias that emerges in the construction of real expenditure overlooking the relative price movements and its consequent implications on for welfare measurements, particularly consumption inequality of rural Indian households during 1999–2012. Our proposed method overcomes data limitations like the non-availability of quantity data and item-specific prices. Using four rounds of consumption expenditure surveys of NSSO, we find that a significant upward bias exists in consumption expenditure when relative price changes are ignored. We also find that the inequality measures based on real consumption expenditure that does not account for relative price changes overestimate the extent of inequality. This may be due to the differential adjustments in the consumption expenditure on different items by households across the income distribution in response to relative price movements which is ignored in the standard practice of measuring real expenditure. Our findings suggest that the concern about the use of aggregate price indices for price adjustment is valid and has critical implications for welfare, particularly for a country like India, where a quarter of the population lives below the poverty line.

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Appendix
Available only for authorised users
Footnotes
1
We are presenting our methodology by considering only two sub-groups: food and non-food (all items except food are merged into non-food group). However, this can be generalized for any number of sub-groups wherever sub-group CPIs is available.
 
2
The test is carried out using the Stata command distcomp introduced by Kaplan (2019).
 
3
We have also computed Gini coefficient based on constructed real consumption expenditure, i.e., y **.
 
4
CPIRL considers rural labour households consisting of three groups of occupations: (a) wage / salary paid manual labour, (b) wage / salary paid non-manual employment, and (c) self-employment.
 
5
This is following Engel’s law.
 
6
We also trace the trend of relative price movements at the state-level during the same period (See Appendix).
 
7
We present only the figures corresponding to 55th and 68th rounds to save space.
 
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Metadata
Title
Getting Real in the Real Consumption Expenditure: A Case of Rural India
Authors
S. S. Swathysree
Manisha Chakrabarty
Debopriti Bhattacharya
Publication date
15-07-2023
Publisher
Springer India
Published in
Journal of Quantitative Economics / Issue 4/2023
Print ISSN: 0971-1554
Electronic ISSN: 2364-1045
DOI
https://doi.org/10.1007/s40953-023-00360-z

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