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Spatial Comparisons Of Prices And Expenditure In A Heterogeneous Country: Methodology With Application To India

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  • Majumder, Amita
  • Ray, Ranjan
  • Sinha, Kompal

Abstract

This study addresses two significant limitations in the literature on cross-country expenditure comparisons: (a) treatment of all countries, large and small, as single entities with no spatial differences inside the countries, and (b) use of Divisia price indices, rather than Rank 3 preference-based “exact price” indices, in the expenditure comparisons. This paper compares alternative preference consistent methods for estimating spatial price differences in a large heterogeneous country, namely India, that are benchmarked against the spatial prices generated by the Laspyeres and Tornqvist price indices. Unlike the use of conventional price indices, the use of demand-systems-based methods allows the incorporation of price-induced substitution effects between items. The paper illustrates the usefulness of the methodology by using the “exact” spatial price indices, in conjunction with the inequality-sensitive welfare measure due to Sen, to rank the Indian states and examine changes in ranking during one of the most significant periods in independent India. The results have methodological and empirical implications that extend far beyond India.

Suggested Citation

  • 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.
  • Handle: RePEc:cup:macdyn:v:19:y:2015:i:05:p:931-989_00
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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.
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    5. Ingvild Almas, 2012. "International Income Inequality: Measuring PPP Bias by Estimating Engel Curves for Food," American Economic Review, American Economic Association, vol. 102(2), pages 1093-1117, April.
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    9. D. S. Prasada Rao & Alicia Rambaldi & Howard Doran, 2010. "Extrapolation Of Purchasing Power Parities Using Multiple Benchmarks And Auxiliary Information: A New Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 59-98, June.
    10. J. Peter Neary, 2004. "Rationalizing the Penn World Table: True Multilateral Indices for International Comparisons of Real Income," American Economic Review, American Economic Association, vol. 94(5), pages 1411-1428, December.
    11. Amita Majumder & Ranjan Ray & Kompal Sinha, 2011. "Estimating Intra Country and Cross Country Purchasing Power Parities from Household Expenditure Data Using Single Equation and Complete Demand Systems Approach: India and Vietnam," Monash Economics Working Papers 34-11, Monash University, Department of Economics.
    12. 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. Christophe Muller, 2022. "Poverty Measurement under Income and Price Dispersions," Working Papers hal-03612841, HAL.
    2. Laureti, Tiziana & Prasada Rao, D.S., 2018. "Measuring Spatial Price Level Differences within a Country: Current status and Future Developments /Medición de las diferencias de nivel de precios espaciales dentro de un país: Estado actual y evoluc," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 119-148, Enero.
    3. Luigi Biggeri & Tiziana Laureti & Federico Polidoro, 2017. "Computing Sub-national PPPs with CPI Data: An Empirical Analysis on Italian Data Using Country Product Dummy Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 93-121, March.
    4. 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.
    5. Christophe Muller, 2023. "Poverty measurement under income and price dispersion," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 14, pages 151-160, Edward Elgar Publishing.
    6. Amita Majumder & Ranjan Ray & Sattwik Santra, 2016. "Global and Country Poverty Rates, Welfare Rankings of the Regions and Purchasing Power Parities: How Robust Are the Results?," Monash Economics Working Papers 11-16, Monash University, Department of Economics.
    7. 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.
    8. Christophe Muller, 2022. "Poverty Measurement under Income and Price Dispersions," AMSE Working Papers 2204, Aix-Marseille School of Economics, France.
    9. Abhimanyu Dadu & Namrata Gulati, 2014. "Inequality, neighborhoods and variation in prices," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-001, Indira Gandhi Institute of Development Research, Mumbai, India.
    10. Namrata Gulati & Abhimanyu Dadu, 2014. "Inequality, Neighbourhoods and Variation in Prices," Economics Bulletin, AccessEcon, vol. 34(3), pages 1463-1484.
    11. Chen,Xiaomeng & Mungai,Rose & Nakamura,Shohei & Pearson,Thomas Patrick & Wambile,Ayago Esmubancha & Yoshida,Nobuo, 2020. "How Useful is CPI Price Data for Spatial Price Adjustment in Poverty Measurement? : A Case from Ghana," Policy Research Working Paper Series 9388, The World Bank.
    12. 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.
    13. Majumder,Amita & Ray,Ranjan & Santra,Sattwik, 2015. "Preferences, purchasing power parity, and inequality : analytical framework, propositions, and empirical evidence," Policy Research Working Paper Series 7395, The World Bank.

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    More about this item

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E64 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Incomes Policy; Price Policy

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