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Consumption based estimates of urban Chinese growth

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  • Chamon, Marcos
  • de Carvalho Filho, Irineu

Abstract

This paper estimates the household income growth rates implied by food demand in a sample of urban Chinese households in 1993–2005. Our estimates, based on Engel curves for food consumption, indicate an average per capita income growth of 6.8% per year in 1993–2005. This figure is slightly larger than the 5.9% per year obtained by deflating nominal incomes by the CPI. We attribute this discrepancy to a small bias in the CPI, which is of a similar magnitude to the one often associated with the CPI in the United States. This result supports the view that Chinese price statistics are reliable. Our estimates indicate stronger gains among poorer households, suggesting that urban inflation up to 2005 in China was “pro-poor,” in the sense that the increase in the cost of living for poorer households was smaller than for the average one.

Suggested Citation

  • Chamon, Marcos & de Carvalho Filho, Irineu, 2014. "Consumption based estimates of urban Chinese growth," China Economic Review, Elsevier, vol. 29(C), pages 126-137.
    • Handle: RePEc:eee:chieco:v:29:y:2014:i:c:p:126-137
    DOI: 10.1016/j.chieco.2014.04.001
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    1. 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.
    2. Garry F. Barrett & Matthew Brzozowski, 2010. "Using Engel Curves to Estimate the Bias in the Australian CPI," The Economic Record, The Economic Society of Australia, vol. 86(272), pages 1-14, March.
    3. Almås, Ingvild & Johnsen, Åshild Auglænd, 2012. "The cost of living in China: Implications for inequality and poverty," Discussion Paper Series in Economics 21/2012, Norwegian School of Economics, Department of Economics.
    4. Timothy K.M. Beatty & Erling Røed Larsen, 2005. "Using Engel curves to estimate bias in the Canadian CPI as a cost of living index," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 38(2), pages 482-499, May.
    5. Carsten A. Holz, 2006. "China'S Reform Period Economic Growth: How Reliable Are Angus Maddison'S Estimates? Response To Angus Maddison'S Reply," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(3), pages 471-475, September.
    6. Filho, Irineu de Carvalho & Chamon, Marcos, 2012. "The myth of post-reform income stagnation: Evidence from Brazil and Mexico," Journal of Development Economics, Elsevier, vol. 97(2), pages 368-386.
    7. Gibson, John & Stillman, Steven & Le, Trinh, 2008. "CPI bias and real living standards in Russia during the transition," Journal of Development Economics, Elsevier, vol. 87(1), pages 140-160, August.
    8. Carsten A. Holz, 2006. "CHINA's REFORM PERIOD ECONOMIC GROWTH: HOW RELIABLE ARE ANGUS MADDISON's ESTIMATES?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(1), pages 85-119, March.
    9. Dora L. Costa, 2001. "Estimating Real Income in the United States from 1888 to 1994: Correcting CPI Bias Using Engel Curves," Journal of Political Economy, University of Chicago Press, vol. 109(6), pages 1288-1310, December.
    10. Yatchew, A., 1997. "An elementary estimator of the partial linear model," Economics Letters, Elsevier, vol. 57(2), pages 135-143, December.
    11. Jerry Hausman, 2003. "Sources of Bias and Solutions to Bias in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 23-44, Winter.
    12. Mr. Eduardo Ley, 2001. "Whose Inflation? A Characterization of the CPI Plutocratic Bias," IMF Working Papers 2001/059, International Monetary Fund.
    13. Montalvo, Jose G. & Ravallion, Martin, 2010. "The pattern of growth and poverty reduction in China," Journal of Comparative Economics, Elsevier, vol. 38(1), pages 2-16, March.
    14. John Gibson & Grant Scobie, 2010. "Using Engel curves to estimate CPI bias in a small, open, inflation-targeting economy," Applied Financial Economics, Taylor & Francis Journals, vol. 20(17), pages 1327-1335.
    15. Hongbin Cai & Yuyu Chen & Li-An Zhou, 2010. "Income and Consumption Inequality in Urban China: 1992-2003," Economic Development and Cultural Change, University of Chicago Press, vol. 58(3), pages 385-413, April.
    16. Gregory Chow, 2006. "Are Chinese Official Statistics Reliable?," CESifo Economic Studies, CESifo, vol. 52(2), pages 396-414, June.
    17. David E. Lebow & Jeremy B. Rudd, 2003. "Measurement Error in the Consumer Price Index: Where Do We Stand?," Journal of Economic Literature, American Economic Association, vol. 41(1), pages 159-201, March.
    18. Cook, Jonathan Aaron, 2013. "Does Chinese Inflation Understate Cost of Living?," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150571, Agricultural and Applied Economics Association.
    19. Ravallion, Martin & Chen, Shaohua, 2007. "China's (uneven) progress against poverty," Journal of Development Economics, Elsevier, vol. 82(1), pages 1-42, January.
    20. Angus Maddison, 2006. "DO OFFICIAL STATISTICS EXAGGERATE CHINA's GDP GROWTH? A REPLY TO CARSTEN HOLZ," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(1), pages 121-126, March.
    21. Alwyn Young, 2003. "Gold into Base Metals: Productivity Growth in the People's Republic of China during the Reform Period," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1220-1261, December.
    22. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    23. Bruce W. Hamilton, 2001. "Using Engel's Law to Estimate CPI Bias," American Economic Review, American Economic Association, vol. 91(3), pages 619-630, June.
    24. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," The World Bank Research Observer, World Bank, vol. 20(2), pages 177-199.
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    More about this item

    Keywords

    Household consumption; Income growth; CPI bias;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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