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Whose inflation? A characterization of the CPI plutocratic gap

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  • Eduardo Ley

Abstract

Prais (1958) showed that the standard CPI computed by most statistical agencies can be interpreted as a weighted average of household price indexes, where the weight of each household is determined by its total expenditures. In this paper, we decompose the CPI plutocratic gap--i.e. the difference between the standard CPI and a democratically-weighted index, where each household has the same weight--as the product of expenditure inequality and the sample covariance between the elementary individual price indexes and a term which is a function of the expenditure elasticity of each good. This decomposition allows us to interpret variations in the size and sign of the plutocratic gap, and to discuss issues pertaining to group indexes. Copyright 2005, Oxford University Press.

Suggested Citation

  • Eduardo Ley, 2005. "Whose inflation? A characterization of the CPI plutocratic gap," Oxford Economic Papers, Oxford University Press, vol. 57(4), pages 634-646, October.
  • Handle: RePEc:oup:oxecpp:v:57:y:2005:i:4:p:634-646
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    3. Dilip M. Nachane & Aditi Chaubal, 2017. "The Plutocratic Bias in the Indian CPI," Working Papers id:12106, eSocialSciences.
    4. Gaddis,Isis, 2016. "Prices for poverty analysis in Africa," Policy Research Working Paper Series 7652, The World Bank.
    5. Petr Janský & Pavel Hait, 2016. "Inflation Differentials among Czech Households," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(1), pages 71-84.
    6. Chamon, Marcos & de Carvalho Filho, Irineu, 2014. "Consumption based estimates of urban Chinese growth," China Economic Review, Elsevier, vol. 29(C), pages 126-137.
    7. Carlos Guerrero de Lizardi, 2010. "Alternative Consumer Price Indexes for Mexico," CID Working Papers 42, Center for International Development at Harvard University.
    8. Agnieszka Leszczynska & Aleksandra Halka, 2012. "What does the Consumer Price Index Measure? Bias Estimates for Poland," EcoMod2012 4370, EcoMod.
    9. Andrew Aitken & Martin Weale, 2020. "A Democratic Measure of Household Income Growth: Theory and Application to the United Kingdom," Economica, London School of Economics and Political Science, vol. 87(347), pages 589-610, July.
    10. Morne Oosthuizen, 2013. "Inflation Inequality In South Africa," Working Papers 13158, University of Cape Town, Development Policy Research Unit.
    11. Thomas F. Crossley & Krishna Pendakur, 2006. "The Social Cost-of-Living: Welfare Foundations and Estimation," Quantitative Studies in Economics and Population Research Reports 407, McMaster University.
    12. Constantin Bürgi, 2020. "Consumer Inflation Expectations and Household Weights," Working Papers 2020-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    13. Liberati, Paolo, 2012. "Democratic, Plutocratic and Social Weights in Price Indexes," MPRA Paper 43978, University Library of Munich, Germany.
    14. David Fielding, 2008. "Inflation Volatility and Economic Development: Evidence from Nigeria," Working Papers 0807, University of Otago, Department of Economics, revised Sep 2008.
    15. Goni, Edwin & Lopez, Humberto & Serven, Luis, 2006. "Getting realabout inequality : evidence from Brazil, Colombia, Mexico, and Peru," Policy Research Working Paper Series 3815, The World Bank.
    16. Morne Oosthuizen, 2007. "Consumer Price Inflation across the Income Distribution in South Africa," Working Papers 07129, University of Cape Town, Development Policy Research Unit.
    17. Okidi, John A. & Nsubuga, Vincent, 2010. "Inflation differentials among Ugandan household: 1997 - 2007," Research Reports 102497, Economic Policy Research Centre (EPRC).
    18. Okidi, John A. & Nsubuga, Vincent, 2010. "Inflation Differentials Among Ugandan Households: 1997 - 2007," Research Series 150482, Economic Policy Research Centre (EPRC).
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    20. David Fielding, 2010. "Non-monetary Determinants of Inflation Volatility: Evidence from Nigeria," Journal of African Economies, Centre for the Study of African Economies, vol. 19(1), pages 111-139, January.

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    More about this item

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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