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Welfare Analysis with a Proxy Consumption Measure – Evidence from a Repeated Experiment in Indonesia

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Menno Pradhan () (World Bank, Washington, and Vrije Universiteit Amsterdam)

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Abstract

Every three years, Indonesia fields simultaneously two nationwide surveys which collect consumption data. One collects consumption using 23 questions, the other using 320 questions. Based on a repeated experiment in which the two questionnaires were randomly assigned across households, I examine the consequences of using a higher level of aggregation in questioning. A mapping of distribution functions reveals the combined effect of systematic differences in measurement and measurement error. Using a pseudo cross-section approach, I eliminate the effect of measurement error and find that using a high level of aggregation yields a lower consumption measure, and that the fraction of underestimation increases as consumption rises. A one percent increase in average consumption increases the fraction by which consumption is underestimated by about .4 percent point. Next, I examine the consequences of using the short consumption questionnaire in welfare analysis. Higher relative measurement error in the consumption measure derived from the short questionnaire results in higher poverty estimates even if the poverty line is adjusted to take account of the systematic underestimation. Small differences are found for analysis that is based on the rank the individual holds in the consumption distribution. In gradient analysis, it seems impossible to devise a simple correction factor for the higher consumption elasticities that follow when the short questionnaire is used.

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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 01-092/2.

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Date of creation: 04 Oct 2001
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Handle: RePEc:dgr:uvatin:20010092

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Keywords: Measurement error; welfare analysis; consumption;

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  1. Lanjouw, Jean Olson & Lanjouw, Peter, 2001. "How to Compare Apples and Oranges: Poverty Measurement Based on Different Definitions of Consumption," Review of Income and Wealth, Blackwell Publishing, vol. 47(1), pages 25-42, March. [Downloadable!] (restricted)
  2. Chaudhuri, Shubham & Ravallion, Martin, 1994. "How well do static indicators identify the chronically poor?," Journal of Public Economics, Elsevier, vol. 53(3), pages 367-394, March. [Downloadable!] (restricted)
  3. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, Blackwell Publishing, vol. 49(4), pages 463-489, December. [Downloadable!] (restricted)
  4. Deaton, A. & Zaidi, S., 1999. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," Papers 192, Princeton, Woodrow Wilson School - Development Studies.
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  5. Joshua D. Angrist & Alan B. Krueger, 1990. "The Effect of Age at School Entry on Educational Attainment: An Application of Instrumental Variables with Moments from Two Samples," NBER Working Papers 3571, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  1. Martin Browning & Thomas F. Crossley & Gugliemo Weber, 2002. "Asking Consumption Questions in General Purpose Surveys," CAM Working Papers 2002-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics. [Downloadable!]
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  2. David E. Sahn & Stephen D. Younger, 2009. "Measuring intra-household health inequality: explorations using the body mass index," Health Economics, John Wiley & Sons, Ltd., vol. 18(S1), pages S13-S36. [Downloadable!]
  3. Menno Pradhan & Fadia Saadah & Robert Sparrow, 2003. "Did the Healthcard Program ensure Access to Medical Care for the Poor during Indonesia's Economic Crisis?," Tinbergen Institute Discussion Papers 03-016/2, Tinbergen Institute. [Downloadable!]
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  4. Joachim Winter, 2004. "Response bias in survey-based measures of household consumption," Economics Bulletin, Economics Bulletin, vol. 3(9), pages 1-12. [Downloadable!]
  5. Stifel, David & Christiaensen, Luc, 2006. "Tracking poverty over time in the absence of comparable consumption data," Policy Research Working Paper Series 3810, The World Bank. [Downloadable!]
    Other versions:
  6. Winter, Joachim, 0000. "Design effects in survey-based measures of household consumption," Sonderforschungsbereich 504 Publications 02-34, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
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