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'Aggregation Bias' DOES Explain the PPP Puzzle

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  • Ravn, Morten
  • Rey, Hélène
  • Imbs, Jean
  • Mumtaz, Haroon

Abstract

This article summarizes our views on the role of an 'aggregation bias' in explaining the PPP Puzzle, in response to the several papers recently written in reaction to our initial contribution. We discuss in particular the criticisms of Imbs, Mumtaz, Ravn and Rey (2002) presented in Chen and Engel (2005). We show that their contentions are based on: (i) analytical counter-examples which are not empirically relevant; (ii) simulation results minimizing the extent of 'aggregation bias'; (iii) unfounded claims on the impact of measurement errors on our results; and (iv) problematic implementation of small-sample bias corrections. We conclude, as in our original paper, that 'aggregation bias' goes a long way towards explaining the PPP puzzle.

Suggested Citation

  • Ravn, Morten & Rey, Hélène & Imbs, Jean & Mumtaz, Haroon, 2005. "'Aggregation Bias' DOES Explain the PPP Puzzle," CEPR Discussion Papers 5237, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:5237
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    1. Jean Imbs & Haroon Mumtaz & Morten O. Ravn & Hélène Rey, 2005. "PPP Strikes Back: Aggregation And the Real Exchange Rate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 1-43.
    2. So, Beong Soo & Shin, Dong Wan, 1999. "Recursive mean adjustment in time-series inferences," Statistics & Probability Letters, Elsevier, vol. 43(1), pages 65-73, May.
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    5. Carlos Carvalho, 2005. "Heterogeneity in Price Setting and the Real Effects of Monetary Shocks," Macroeconomics 0509017, University Library of Munich, Germany, revised 10 Oct 2005.
    6. Crucini, Mario J. & Shintani, Mototsugu, 2008. "Persistence in law of one price deviations: Evidence from micro-data," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 629-644, April.
    7. Pesaran, H.M., 2003. "Estimation and Inference in Large Heterogeneous Panels with Cross Section Dependence," Cambridge Working Papers in Economics 0305, Faculty of Economics, University of Cambridge.
    8. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
    9. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    11. Derick Boyd & Ron Smith, 1999. "Testing for Purchasing Power Parity: Econometric Issues and an Application to Developing Countries," Manchester School, University of Manchester, vol. 67(3), pages 287-303, June.
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    Cited by:

    1. C. Thubin & T. Ferri re & E. Monnet & M. Marx & V. Oung, 2016. "The PRISME model: can disaggregation on the production side help to forecast GDP?," Working papers 596, Banque de France.
    2. Joseph Byrne & Norbert Fiess, 2010. "Euro area inflation: aggregation bias and convergence," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(2), pages 339-357, June.
    3. Matthieu Bussiere, 2013. "Exchange Rate Pass-through to Trade Prices: The Role of Nonlinearities and Asymmetries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 731-758, October.
    4. Martin Berka, 2009. "Nonlinear Adjustment in Law of One Price Deviations and Physical Characteristics of Goods," Review of International Economics, Wiley Blackwell, vol. 17(1), pages 51-73, February.
    5. M. Dolores Gadea & Laura Mayoral, 2009. "Aggregation is not the solution: the PPP puzzle strikes back," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 875-894.
    6. Tm Mokoena, 2007. "Taking The Puzzle Out Of The Purchasing Power Parity Puzzle: An Application In Respect Of South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 75(1), pages 22-34, March.
    7. Carlos Carvalho & Fernanda Nechio, 2011. "Aggregation and the PPP Puzzle in a Sticky-Price Model," American Economic Review, American Economic Association, vol. 101(6), pages 2391-2424, October.
    8. Mayoral, Laura & Dolores Gadea, María, 2011. "Aggregate real exchange rate persistence through the lens of sectoral data," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 290-304.
    9. Burstein, Ariel & Gopinath, Gita, 2014. "International Prices and Exchange Rates," Handbook of International Economics, in: Gopinath, G. & Helpman, . & Rogoff, K. (ed.), Handbook of International Economics, edition 1, volume 4, chapter 0, pages 391-451, Elsevier.
    10. Christian Broda & David E. Weinstein, 2008. "Understanding International Price Differences Using Barcode Data," NBER Working Papers 14017, National Bureau of Economic Research, Inc.
    11. Alexis Antoniades, 2012. "Local Versus Producer Currency Pricing: Evidence From Disaggregated Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1229-1241, November.
    12. Giorgio Fazio & Peter McAdam & Ronald MacDonald, 2007. "Disaggregate Real Exchange Rate Behaviour," Open Economies Review, Springer, vol. 18(4), pages 389-404, September.
    13. Christian J. Murray & Hatice Ozer-Balli & David H. Papell, 2006. "PPP Persistence within Sectoral Real Exchange Rate Panels," Papers of the Annual IUE-SUNY Cortland Conference in Economics, in: Oguz Esen & Ayla Ogus (ed.), Proceedings of the Conference on Human and Economic Resources, pages 388-398, Izmir University of Economics.

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    More about this item

    Keywords

    Heterogenous dynamics; Relative prices; Goods market integration;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F15 - International Economics - - Trade - - - Economic Integration
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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