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Estimates of Spatial Prices in India and Their Sensitivity to Alternative Estimation Methods and Choice of Commodities

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  • Amita Majumder

    (Indian Statistical Institute)

  • Ranjan Ray

    (Monash University)

Abstract

This paper provides Indian evidence on sub-national PPPs that point to considerable spatial price heterogeneity within the country, based on Indian National Sample Survey (NSS) data. The prices of various commodities have been generated from the household specific unit values obtained from the information on expenditures and quantities from the NSS unit records. This paper shows that the CPD model, proposed in the cross country context, can be adapted to the household context to estimate spatial prices in the intra country context. The proposed CPD based model is shown to be formally equivalent to certain well known fixed weight price indices under certain parametric configurations. The empirical contribution includes a systematic comparison between the spatial price indices from alternative models, namely the CPD and utility based models, and the result that the utility based methods point to a much greater extent of spatial price heterogeneity than is suggested by the CPD type models. The results also record the sensitivity of the spatial price indices to the choice of commodities in the utility based approach. The pairwise comparison of estimates suggests that commodity selection may be more important than model selection in its impact on the spatial price estimates, though the latter is important as well. The study provides estimates of rural–urban differentials in spatial price indices that suggest some interesting differences between the constituent states. The results make a strong case for further research on the topic of sub-national PPPs in the context of large heterogeneous countries.

Suggested Citation

  • Amita Majumder & Ranjan Ray, 2017. "Estimates of Spatial Prices in India and Their Sensitivity to Alternative Estimation Methods and Choice of Commodities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 145-167, March.
  • Handle: RePEc:spr:soinre:v:131:y:2017:i:1:d:10.1007_s11205-015-1124-1
    DOI: 10.1007/s11205-015-1124-1
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    References listed on IDEAS

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    9. Ankita Mishra & Ranjan Ray, 2014. "Spatial Variation in Prices and Expenditure Inequalities in Australia," The Economic Record, The Economic Society of Australia, vol. 90(289), pages 137-159, June.
    10. Amita Majumder & Ranjan Ray & Kompal Sinha, 2012. "Calculating Rural-Urban Food Price Differentials from Unit Values in Household Expenditure Surveys: A Comparison with Existing Methods and A New Procedure," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1218-1235.
    11. Geoffrey Lancaster & Ranjan Ray, 1998. "Comparison of Alternative Models of Household Equivalence Scales: The Australian Evidence on Unit Record Data," The Economic Record, The Economic Society of Australia, vol. 74(224), pages 1-14, March.
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    Citations

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    Cited by:

    1. Martina Menon & Federico Perali & Ranjan Ray & Nicola Tommasi, 2019. "The Tale of the Two Italies: Regional Price Parities Accounting for Differences in the Quality of Services," Working Papers 20/2019, University of Verona, Department of Economics.
    2. Alicia Gómez-Tello & Alfonso Díez-Minguela & Julio Martinez-Galarraga & Daniel A. Tirado, 2019. "Regional prices in early twentieth-century Spain: a country-product-dummy approach," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(2), pages 245-276, May.
    3. Amita Majumder & Ranjan Ray, 2020. "National and subnational purchasing power parity: a review," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(2), pages 103-124, June.
    4. Menon, Martina & Perali, Federico & Ray, Ranjan & Tommasi, Nicola, 2023. "Heterogeneity in prices and cost of living within a country: New evidence on the north-south divide in Italy," Economic Modelling, Elsevier, vol. 126(C).
    5. Petr Jansky & Marek Sedivy, 2018. "How Do Regional Price Levels Affect Income Inequality? Household-Level Evidence from 21 Countries," Working Papers IES 2018/24, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2018.
    6. Anders Kjelsrud, 2022. "To adjust or not to adjust? Spatial price variation and the measurement of poverty," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 773-796, July.
    7. Amita Majumder & Ranjan Ray & Sattwick Santra, 2019. "The Calculation of Spatial Prices in the Absence of Unit Values: Alternative Methodologies with Empirical Evidence from India," Monash Economics Working Papers 12-18, Monash University, Department of Economics.

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    More about this item

    Keywords

    Household Regional Product Dummy Model; QAIDS; Spatial price index; Sub-national PPP;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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