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Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation

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  • Daniel Melser
  • Iqbal A. Syed

Abstract

The paper explores the extent to which products follow systematic pricing patterns over their life cycle and the impact this has on the measurement of inflation. Using a large US scanner data set on supermarket products and applying flexible regression methods, we find that on average prices decline as items age. This life cycle price change is often attributed to quality difference in the construction of CPI as items are replaced due to disappearance or during sample rotations. This introduces a systematic bias in the measurement of inflation. For our data we find that the life cycle bias leads to the underestimation of inflation by around 0.30 percentage points each year for the products examined.
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  • Daniel Melser & Iqbal A. Syed, 2016. "Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 509-533, September.
    • Handle: RePEc:bla:revinw:v:62:y:2016:i:3:p:509-533
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    File URL: http://hdl.handle.net/10.1111/roiw.12166
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    1. Mark Bils, 2009. "Do Higher Prices for New Goods Reflect Quality Growth or Inflation?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 637-675.
    2. Silver, Mick & Heravi, Saeed, 2005. "A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 269-281, July.
    3. D.S. Prasada Rao, 2004. "The Country-Product-Dummy Method: A Stochastic Approach to the Computation of Purchasing Power Parities in the ICP," CEPA Working Papers Series WP032004, School of Economics, University of Queensland, Australia.
    4. John S. Greenlees & Robert McClelland, 2011. "Does Quality Adjustment Matter for Technologically Stable Products? An Application to the CPI for Food," American Economic Review, American Economic Association, vol. 101(3), pages 200-205, May.
    5. Silver, Mick & Heravi, Saeed, 2001. "Scanner Data and the Measurement of Inflation," Economic Journal, Royal Economic Society, vol. 111(472), pages 383-404, June.
    6. Charles R. Hulten, 1997. "Quality change in the CPI," Review, Federal Reserve Bank of St. Louis, issue May, pages 87-100.
    7. Ariel Pakes, 2003. "A Reconsideration of Hedonic Price Indexes with an Application to PC's," American Economic Review, American Economic Association, vol. 93(5), pages 1578-1596, December.
    8. Robert J. Hill & Daniel Melser, 2008. "Hedonic Imputation And The Price Index Problem: An Application To Housing," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 593-609, October.
    9. David E. Lebow & Jeremy B. Rudd, 2003. "Measurement Error in the Consumer Price Index: Where Do We Stand?," Journal of Economic Literature, American Economic Association, vol. 41(1), pages 159-201, March.
    10. Ernst R. Berndt & Iain M. Cockburn & Zvi Griliches, 1996. "Pharmaceutical Innovations and Market Dynamics: Tracking Effects on Price Indexes for Antidepressant Drugs," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(1996 Micr), pages 133-199.
    11. Christian Broda & David E. Weinstein, 2010. "Product Creation and Destruction: Evidence and Price Implications," American Economic Review, American Economic Association, vol. 100(3), pages 691-723, June.
    12. Winston Koh, 2006. "The micro-foundations of intertemporal price discrimination," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 27(2), pages 393-410, January.
    13. Erwin Diewert, 2005. "Weighted Country Product Dummy Variable Regressions And Index Number Formulae," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(4), pages 561-570, December.
    14. Jan de Haan & Frances Krsinich, 2014. "Scanner Data and the Treatment of Quality Change in Nonrevisable Price Indexes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 341-358, July.
    15. Kennedy, Peter E, 1981. "Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations [The Interpretation of Dummy Variables in Semilogarithmic Equations]," American Economic Review, American Economic Association, vol. 71(4), pages 801-801, September.
    16. Mark Bils & Peter J. Klenow & Benjamin A. Malin, 2012. "Reset Price Inflation and the Impact of Monetary Policy Shocks," American Economic Review, American Economic Association, vol. 102(6), pages 2798-2825, October.
    17. Ernst R. Berndt & Margaret Kyle & Davina Ling, 2003. "The Long Shadow of Patent Expiration. Generic Entry and Rx-to-OTC Switches," NBER Chapters, in: Scanner Data and Price Indexes, pages 229-267, National Bureau of Economic Research, Inc.
    18. Tim Erickson & Ariel Pakes, 2011. "An Experimental Component Index for the CPI: From Annual Computer Data to Monthly Data on Other Goods," American Economic Review, American Economic Association, vol. 101(5), pages 1707-1738, August.
    19. Charles Hulten, 1997. "Quality Change in the CPI," Challenge, Taylor & Francis Journals, vol. 40(2), pages 48-74, March.
    20. Boskin, Michael J, et al, 1997. "The CPI Commission: Findings and Recommendations," American Economic Review, American Economic Association, vol. 87(2), pages 78-83, May.
    21. R. Schmalensee & R. Willig (ed.), 1989. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 2, number 2.
    22. Varian, Hal R., 1989. "Price discrimination," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 1, chapter 10, pages 597-654, Elsevier.
    23. John S. Greenlees & Robert McClelland, 2011. "Does Quality Adjustment Matter for Technologically Stable Products? An Application to the CPI for Food," American Economic Review, American Economic Association, vol. 101(3), pages 200-205, May.
    24. Kevin J. Fox & Daniel Melser, 2014. "Non-Linear Pricing and Price Indexes: Evidence and Implications from Scanner Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(2), pages 261-278, June.
    25. Nancy L. Stokey, 1979. "Intertemporal Price Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(3), pages 355-371.
    26. Michael Landsberger & Isaac Meilijson, 1985. "Intertemporal Price Discrimination and Sales Strategy under Incomplete Information," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 424-430, Autumn.
    27. R. Schmalensee & R. Willig (ed.), 1989. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 1, number 1.
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    Citations

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    Cited by:

    1. Daniel Melser & Iqbal A. Syed, 2017. "The product life cycle and sample representativity bias in price indexes," Applied Economics, Taylor & Francis Journals, vol. 49(6), pages 573-586, February.
    2. Klaus Adam & Henning Weber, 2019. "Optimal Trend Inflation," American Economic Review, American Economic Association, vol. 109(2), pages 702-737, February.
    3. Klaus Adam & Henning Weber, 2023. "Estimating the Optimal Inflation Target from Trends in Relative Prices," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 1-42, July.
    4. Adam, Klaus & Weber, Henning, 2017. "Optimal Trend Inflation," CEPR Discussion Papers 12160, C.E.P.R. Discussion Papers.
    5. Daniel Melser & Michael Webster, 2021. "Multilateral Methods, Substitution Bias, and Chain Drift: Some Empirical Comparisons," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 759-785, September.
    6. Klaus Adam & Henning Weber, 2019. "Price Trends over the Product Life Cycle and the Optimal Inflation Target," 2019 Meeting Papers 1001, Society for Economic Dynamics.
    7. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2016. "Product Turnover and Deflation: Evidence from Japan," CARF F-Series CARF-F-400, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    8. Yuki Teranishi, 2017. "Product Cycles and Prices:Search Foundation," UTokyo Price Project Working Paper Series 079, University of Tokyo, Graduate School of Economics.
    9. Jan de Haan & Rens Hendriks & Michael Scholz, 2021. "Price Measurement Using Scanner Data: Time‐Product Dummy Versus Time Dummy Hedonic Indexes," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 394-417, June.
    10. Crystal G. Konny & Brendan K. Williams & David M. Friedman, 2019. "Big Data in the US Consumer Price Index: Experiences and Plans," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 69-98, National Bureau of Economic Research, Inc.
    11. Nobuhiro Abe & Kimiaki Shinozaki, 2018. "Compilation of Experimental Price Indices Using Big Data and Machine Learning:A Comparative Analysis and Validity Verification of Quality Adjustments," Bank of Japan Working Paper Series 18-E-13, Bank of Japan.
    12. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2018. "Product Turnover and the Cost of Living Index: Quality vs. Fashion Effects," Globalization Institute Working Papers 337, Federal Reserve Bank of Dallas.
    13. Daniel Melser, 2019. "Valuing the quantity and quality of product variety to consumers," Empirical Economics, Springer, vol. 57(6), pages 2107-2128, December.
    14. Nobuhiro Abe & Yojiro Ito & Ko Munakata & Shinsuke Ohyama & Kimiaki Shinozaki, 2016. "Pricing Patterns over Product Life-Cycle and Quality Growth at Product Turnover: Empirical Evidence from Japan," Bank of Japan Working Paper Series 16-E-5, Bank of Japan.
    15. Jakub Hajda, 2019. "Product Market Strategy and Corporate Policies," 2019 Papers pha1309, Job Market Papers.
    16. Jan de Haan & Rens Hendriks & Michael Scholz, 2016. "A Comparison of Weighted Time-Product Dummy and Time Dummy Hedonic Indexes," Graz Economics Papers 2016-13, University of Graz, Department of Economics.

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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
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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