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Estimates of Spatial Prices in India and their Sensitivity to Alternative Estimation Methods and Choice of Items

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  • Amita Majumder
  • Ranjan Ray

Abstract

This paper provides Indian evidence on sub-national PPP s that point to considerable spatial price heterogeneity within the country. 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 items in the utility based approach. The pair wise comparison of estimates suggests that item 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, 2015. "Estimates of Spatial Prices in India and their Sensitivity to Alternative Estimation Methods and Choice of Items," Monash Economics Working Papers 11-15, Monash University, Department of Economics.
  • Handle: RePEc:mos:moswps:2015-11
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    References listed on IDEAS

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    1. D. Coondoo & A. Majumder & R. Ray, 2004. "A Method of Calculating Regional Consumer Price Differentials with Illustrative Evidence from India," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(1), pages 51-68, March.
    2. Majumder, Amita & Ray, Ranjan & Sinha, Kompal, 2015. "Spatial Comparisons Of Prices And Expenditure In A Heterogeneous Country: Methodology With Application To India," Macroeconomic Dynamics, Cambridge University Press, vol. 19(5), pages 931-989, July.
    3. Amita Majumder & Ranjan Ray & Kompal Sinha, 2011. "The Calculation of Rural Urban Food Price Differentials from Unit Values in Household Expenditure Surveys: A new procedure and comparison with existing methods," Monash Economics Working Papers 24-11, Monash University, Department of Economics.
    4. Erwin Diewert, 2005. "Weighted Country Product Dummy Variable Regressions And Index Number Formulae," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(4), pages 561-570, December.
    5. 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.
    6. World Bank, 2011. "World Bank for Results 2011," World Bank Publications - Books, The World Bank Group, number 15792.
    7. Robert Summers, 1973. "International Price Comparisons Based Upon Incomplete Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 19(1), pages 1-16, March.
    8. Robert J. Hill & Iqbal A. Syed, 2015. "Improving International Comparisons of Prices at Basic Heading Level: An Application to the Asia-Pacific Region," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(3), pages 515-539, September.
    9. D. S. Prasada Rao, 2005. "On The Equivalence Of Weighted Country‐Product‐Dummy (Cpd) Method And The Rao‐System For Multilateral Price Comparisons," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(4), pages 571-580, December.
    10. Dipankor Coondoo & Amita Majumder & Somnath Chattopadhyay, 2011. "Estimating Spatial Consumer Price Indices Through Engel Curve Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(1), pages 138-155, March.
    11. 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.
    12. Amita Majumder & Ranjan Ray & Kompal Sinha, 2015. "Estimating Purchasing Power Parities from Household Expenditure Data Using Complete Demand Systems with Application to Living Standards Comparison: India and Vietnam," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 302-328, June.
    13. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    14. Asian Development Bank (ADB), 2014. "Purchasing Power Parities and Real Expenditures," ADB Reports RPT146710-2, Asian Development Bank (ADB), revised 19 Aug 2014.
    15. 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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    Cited by:

    1. Menggen Chen & Yan Wang & D. S. Prasada Rao, 2020. "Measuring the spatial price differences in China with regional price parity methods," The World Economy, Wiley Blackwell, vol. 43(4), pages 1103-1146, April.

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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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