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A Note on Different Approaches to Index Number Theory

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  • Matthijs van Veelen
  • Roy van der Weide

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  • Matthijs van Veelen & Roy van der Weide, 2008. "A Note on Different Approaches to Index Number Theory," American Economic Review, American Economic Association, vol. 98(4), pages 1722-1730, September.
    • Handle: RePEc:aea:aecrev:v:98:y:2008:i:4:p:1722-30
    Note: DOI: 10.1257/aer.98.4.1722
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    References listed on IDEAS

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    1. Fleissig, Adrian R. & Whitney, Gerald A., 2005. "Testing for the Significance of Violations of Afriat's Inequalities," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 355-362, July.
    2. Jones, Barry E. & De Peretti, Philippe, 2005. "A Comparison Of Two Methods For Testing The Utility Maximization Hypothesis When Quantity Data Are Measured With Error," Macroeconomic Dynamics, Cambridge University Press, vol. 9(5), pages 612-629, November.
    3. Richard W. Blundell & Martin Browning & Ian A. Crawford, 2003. "Nonparametric Engel Curves and Revealed Preference," Econometrica, Econometric Society, vol. 71(1), pages 205-240, January.
    4. Arthur Lewbel, 2001. "Demand Systems with and without Errors," American Economic Review, American Economic Association, vol. 91(3), pages 611-618, June.
    5. Gross, John, 1995. "Testing Data for Consistency with Revealed Preference," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 701-710, November.
    6. W. Erwin Diewert, 1999. "Axiomatic and Economic Approaches to International Comparisons," NBER Chapters, in: International and Interarea Comparisons of Income, Output, and Prices, pages 13-107, National Bureau of Economic Research, Inc.
    7. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
    8. Philippe de Peretti, 2005. "Testing The Significance Of The Departures From Utility Maximization," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00646801, HAL.
    9. Andreoni,J. & Harbaugh,W.T., 2005. "Power indices for revealed preference tests," Working papers 10, Wisconsin Madison - Social Systems.
    10. Matthijs van Veelen, 2002. "An Impossibility Theorem Concerning Multilateral International Comparison of Volumes," Econometrica, Econometric Society, vol. 70(1), pages 369-375, January.
    11. Chen, Yi Vivian & Heston, Alan & Lipsey, Robert, 2000. "International and interarea comparisons of income, output and prices," Journal of Asian Economics, Elsevier, vol. 11(3), pages 363-364, December.
    12. Philippe de Peretti, 2005. "A Comparison Of Two Methods For Testing The Utility Maximization Hypothesis When Quantity Data Are Measured With Error," Post-Print halshs-00646809, HAL.
    13. Philippe de Peretti, 2005. "A Comparison Of Two Methods For Testing The Utility Maximization Hypothesis When Quantity Data Are Measured With Error," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00646809, HAL.
    14. J. Peter Neary, 2004. "Rationalizing the Penn World Table: True Multilateral Indices for International Comparisons of Real Income," American Economic Review, American Economic Association, vol. 94(5), pages 1411-1428, December.
    15. Philippe de Peretti, 2005. "Testing The Significance Of The Departures From Utility Maximization," Post-Print halshs-00646801, HAL.
    16. Epstein, Larry G. & Yatchew, Adonis J., 1985. "Non-parametric hypothesis testing procedures and applications to demand analysis," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 149-169.
    17. de PERETTI, PHILIPPE, 2005. "Testing The Significance Of The Departures From Utility Maximization," Macroeconomic Dynamics, Cambridge University Press, vol. 9(3), pages 372-397, June.
    18. Jones, Barry E. & Dutkowsky, Donald H. & Elger, Thomas, 2005. "Sweep programs and optimal monetary aggregation," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 483-508, February.
    19. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
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    Cited by:

    1. Decerf,Benoit Marie A & Ferrando,Mery & Quinn,Natalie N., 2021. "Global Income Poverty Measurement with Preference Heterogeneity : Theory and Application," Policy Research Working Paper Series 9844, The World Bank.
    2. Jorge Durán & Omar Licandro, 2012. "Is the GDP Growth Rate in NIPA a Welfare Measure?," Working Papers 665, Barcelona School of Economics.
    3. DECANCQ, Koen & FLEURBAEY, Marc & SCHOKKAERT, Erik, 2014. "Inequality, income, and well-being," LIDAM Discussion Papers CORE 2014018, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Jorge Duran & Omar Licandro, 2015. "Is the output growth rate in NIPA a welfare measure?," Discussion Papers 2015/18, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    5. van Veelen, Matthijs, 2009. "The apples and oranges theorem for price indices," Economics Letters, Elsevier, vol. 103(1), pages 12-14, April.
    6. Ian Crawford & J. Peter Neary, 2008. "Testing for a Reference Consumer in International Comparisons of Living Standards," American Economic Review, American Economic Association, vol. 98(4), pages 1731-1732, September.
    7. 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.
    8. 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.
    9. 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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    More about this item

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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