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Prices, Engel curves, and time-space deflation : impacts on poverty and inequality in Vietnam

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  • Gibson,John David
  • Le,Trinh
  • Kim,Bonggeun

Abstract

Many developing countries lack spatially disaggregated price data. Some analysts use"no-price"methods by using a food Engel curve to derive the deflator as that needed for nominally similar households to have equal food shares in all regions and time periods. This method cannot be tested in countries where it is used as a spatial deflator since they lack suitable price data. In this paper, data from Vietnam are used to test this method against benchmarks provided by multilateral price indexes calculated from repeated spatial price surveys. Deflators from a food Engel curve appear to be a poor proxy for deflators obtained from multilateral price indexes. To the extent that such price indexes reliably compare real living standards over time and space, these results suggest that estimates of the level, location, and change in poverty and inequality would be distorted if the Engel method deflator was used in their stead.

Suggested Citation

  • Gibson,John David & Le,Trinh & Kim,Bonggeun, 2017. "Prices, Engel curves, and time-space deflation : impacts on poverty and inequality in Vietnam," Policy Research Working Paper Series 8097, The World Bank.
  • Handle: RePEc:wbk:wbrwps:8097
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    1. 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.
    2. 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.
    3. Robert Ackland & Steve Dowrick & Benoit Freyens, 2013. "Measuring Global Poverty: Why PPP Methods Matter," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 813-824, July.
    4. Angus Deaton, 1998. "Getting Prices Right: What Should Be Done?," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 37-46, Winter.
    5. Breuer, Claus C. & von der Lippe, Peter, 2011. "Problems of operationalizing the concept of a cost-of-living index," MPRA Paper 32902, University Library of Munich, Germany.
    6. Angus Deaton & Jed Friedman & Vivi Alatas, 2004. "Purchasing power parity exchange rates from household survey data: India and Indonesia," Working Papers 173, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    7. 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.
    8. repec:pri:rpdevs:deaton_pppp_version_aug_06.pdf is not listed on IDEAS
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    Cited by:

    1. Christophe Muller & Nouréini Sayouti, 2021. "How does information on minimum and maximum food prices affect measured monetary poverty ? Evidence from Niger," Working Papers halshs-03097641, HAL.
    2. Martin Ravallion, 2016. "Toward better global poverty measures," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(2), pages 227-248, June.
    3. Andrew Dabalen & Isis Gaddis & Nga Thi Viet Nguyen, 2020. "CPI Bias and its Implications for Poverty Reduction in Africa," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 13-44, March.
    4. Jolliffe,Dean Mitchell & Mahler,Daniel Gerszon & Veerappan,Malarvizhi & Kilic,Talip & Wollburg,Philip Randolph, 2021. "Under What Conditions Are Data Valuable for Development ?," Policy Research Working Paper Series 9811, The World Bank.
    5. Gaddis,Isis, 2016. "Prices for poverty analysis in Africa," Policy Research Working Paper Series 7652, The World Bank.
    6. Schneider, Kate R., 2022. "Nationally representative estimates of the cost of adequate diets, nutrient level drivers, and policy options for households in rural Malawi," Food Policy, Elsevier, vol. 113(C).
    7. John Gibson & Bonggeun Kim, 2017. "30 Years of Being Wrong: A Systematic Review and Critical Test of the Cox and Wohlgenant Approach to Quality-Adjusted Prices in Demand Analysis," Working Papers in Economics 17/16, University of Waikato.
    8. Prema-chandra Athukorala, 2021. "Asian economic development: A primer," Departmental Working Papers 2021-07, The Australian National University, Arndt-Corden Department of Economics.
    9. Linh Thuy Nguyen & Christopher Gan & Baiding Hu, 2021. "Why is Ethnic Minority Poverty Severe? The Case of Rural Vietnam," Asian Development Policy Review, Asian Economic and Social Society, vol. 9(3), pages 161-179.
    10. Gibson, John & Le, Trinh, 2019. "Using local expert knowledge to measure prices: Evidence from a survey experiment in Vietnam," MPRA Paper 92533, University Library of Munich, Germany.
    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. John Gibson & Trinh Le, 2018. "Improved Modelling of Spatial Cost of Living Differences in Developing Countries: A Comparison of Expert Knowledge and Traditional Price Surveys," Working Papers in Economics 18/08, University of Waikato.
    13. Dwayne Benjamin & Loren Brandt & Brian McCaig, 2017. "Growth with equity: income inequality in Vietnam, 2002–14," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(1), pages 25-46, March.
    14. Ha,Jongrim & Ivanova,Anna & Ohnsorge,Franziska Lieselotte & Unsal Portillo Ocando,Derya Filiz, 2019. "Inflation : Concepts, Evolution, and Correlates," Policy Research Working Paper Series 8738, The World Bank.
    15. Chao Li & John Gibson, 2018. "Regional Inequality in China allowing for Spatial Cost-of-Living Differences: Evidence from a Hedonic Analysis of Apartment Prices," Working Papers in Economics 18/12, University of Waikato.
    16. Van Der Weide,Roy & Blankespoor,Brian & Elbers,Chris T.M. & Lanjouw,Peter F., 2022. "How Accurate Is a Poverty Map Based on Remote Sensing Data ? An Application to Malawi," Policy Research Working Paper Series 10171, The World Bank.
    17. Shohei Nakamura & Rawaa Harati & Somik V Lall & Yuri M Dikhanov & Nada Hamadeh & William Vigil Oliver & Marko Olavi Rissanen & Mizuki Yamanaka, 2020. "Comparing Costs of Living across World Cities," The World Bank Economic Review, World Bank, vol. 34(Supplemen), pages 79-88.

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    More about this item

    Keywords

    Inequality;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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