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

Author

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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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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Namrata Gulati & Abhimanyu Dadu, 2014. "Inequality, Neighbourhoods and Variation in Prices," Economics Bulletin, AccessEcon, vol. 34(3), pages 1463-1484.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.

    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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