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Hicksian separability does not hold over space: Implications for the design of household surveys and price questionnaires

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  • Gibson, John
  • Kim, Bonggeun

Abstract

If relative prices of goods within a commodity group are constant, Hicksian separability lets the price of a single good represent the group price level. This is relied on by price questionnaires used with household surveys in developing countries and when constructing temporal and spatial deflators. Methods of estimating demand systems from household survey data also rely on Hicksian separability. Yet this restriction remains untested in cross-sections. We use unique data from Vietnam with multiple specifications from within the same food groups to test if within-group relative prices are constant over space. The data firmly reject these restrictions. Some guidelines for survey design are discussed, in terms of the characteristics of commodity groups that should be disaggregated and those that should have more elementary goods added to their linked price questionnaire.

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  • Gibson, John & Kim, Bonggeun, 2015. "Hicksian separability does not hold over space: Implications for the design of household surveys and price questionnaires," Journal of Development Economics, Elsevier, vol. 114(C), pages 34-40.
  • Handle: RePEc:eee:deveco:v:114:y:2015:i:c:p:34-40
    DOI: 10.1016/j.jdeveco.2014.11.010
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    Cited by:

    1. 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.
    2. Gibson, John & Kim, Bonggeun, 2019. "Quality, quantity, and spatial variation of price: Back to the bog," Journal of Development Economics, Elsevier, vol. 137(C), pages 66-77.
    3. Madeira, Carlos, 2023. "The evolution of consumption inequality and risk-insurance in Chile," Emerging Markets Review, Elsevier, vol. 54(C).
    4. John Gibson, 2016. "Poverty Measurement: We Know Less than Policy Makers Realize," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 3(3), pages 430-442, September.
    5. John Gibson & Omoniyi Alimi, 2020. "Measuring poverty with noisy and corrected estimates of annual consumption: Evidence from Nigeria," African Development Review, African Development Bank, vol. 32(1), pages 96-107, March.
    6. John Gibson & Bonggeun Kim, 2018. "Economies of scale, bulk discounts, and liquidity constraints: comparing unit value and transaction level evidence in a poor country," Review of Economics of the Household, Springer, vol. 16(1), pages 21-39, March.
    7. 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.
    8. John Gibson & Bonggeun Kim, 2019. "The price elasticity of quantity, and of quality, for tobacco products," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 587-593, April.
    9. 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.
    10. 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.

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