IDEAS home Printed from https://ideas.repec.org/a/bla/istatr/v89y2021i3p481-504.html

Estimating Sampling Errors in Consumer Price Indices

Author

Listed:
  • Paul A. Smith

Abstract

Several different approaches have been proposed for the calculation of sampling errors in consumer price indices (CPIs), but only one is in regular use providing published estimates. The history of the development of sampling error estimation for CPIs is reviewed, and the development in the USA (where most research has taken place) is summarised. The proposed approaches for sampling error estimation are set out, with their properties and their different conceptualisations of the sampling error. The frameworks for the measurement of errors more widely in the CPI are also reviewed, and the evidence for the importance of the sampling error among the other error sources is presented. Some opportunities and directions for further work are provided.

Suggested Citation

  • Paul A. Smith, 2021. "Estimating Sampling Errors in Consumer Price Indices," International Statistical Review, International Statistical Institute, vol. 89(3), pages 481-504, December.
    • Handle: RePEc:bla:istatr:v:89:y:2021:i:3:p:481-504
    DOI: 10.1111/insr.12438
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/insr.12438
    Download Restriction: no
    File URL: https://libkey.io/10.1111/insr.12438?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Brent R. Moulton, 1996. "Bias in the Consumer Price Index: What Is the Evidence?," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 159-177, Fall.
    2. Li-Chun Zhang, 2019. "On valid descriptive inference from non-probability sample," Statistical Theory and Related Fields, Taylor & Francis Journals, vol. 3(2), pages 103-113, July.
    3. Kott, Phillip S, 1984. "A Superpopulation Theory Approach to the Design of Price Index Estimators with Small Sampling Biases," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(1), pages 83-90, January.
    4. Philip J. McCarthy, 1961. "Sampling Considerations in the Construction of Price Indexes with Particular Reference to the United States Consumer Price Index," NBER Chapters, in: The Price Statistics of the Federal Goverment, pages 197-232, National Bureau of Economic Research, Inc.
    5. Valliant, Richard & Miller, Stephen M, 1989. "A Class of Multiplicative Estimators of Laspeyres Price Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 382-394, July.
    6. Skinner, C. J., 2015. "Cross-classified sampling: some estimation theory," LSE Research Online Documents on Economics 62261, London School of Economics and Political Science, LSE Library.
    7. Dalen, Jurgen & Ohlsson, Esbjorn, 1995. "Variance Estimation in the Swedish Consumer Price Index," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 347-356, July.
    8. Valliant, Richard, 1991. "Variance Estimation for Price Indexes from a Two-Stage Sample with Rotating Panels," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(4), pages 409-422, October.
    9. Fiona Sigalla & Mark A. Wynne, 1994. "The consumer price index," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q II, pages 1-22.
    10. Skinner, C.J., 2015. "Cross-classified sampling: Some estimation theory," Statistics & Probability Letters, Elsevier, vol. 104(C), pages 163-168.
    11. Elliot D. Williams, 2006. "The Effects of Rounding on the Consumer Price Index," Working Papers 397, U.S. Bureau of Labor Statistics.
    12. Nino Mushkudiani & Jeroen Pannekoek & Li-Chun Zhang, 2020. "Uncertainty measures for economic accounts," Economic Systems Research, Taylor & Francis Journals, vol. 32(4), pages 476-501, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hélène Juillard & Guillaume Chauvet & Anne Ruiz-Gazen, 2017. "Estimation Under Cross-Classified Sampling With Application to a Childhood Survey," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 850-858, April.
    2. Kovács, Ilona, 2003. "A fogyasztói árindex torzító tényezői [Distorting factors in the consumer price index]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 702-719.
    3. Carlo De Gregorio, 2012. "Sample size for the estimate of consumer price subindices with alternative statistical designs," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 14(1), pages 19-47, October.
    4. Jan Hanousek & Randall K. Filer, 2003. "Substitution Biases in Price Indexes during Transition," Development and Comp Systems 0306002, University Library of Munich, Germany.
    5. Jan Hanousek & Randall K. Filer, 2001. "Evaluating Imperfections and Biases in Price Indexes during Transition," CERGE-EI Working Papers wp186, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. Rivest, Louis-Paul & Ebouele, Sergio Ewane, 2020. "Sampling a two dimensional matrix," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).
    7. Shiratsuka, Shigenori, 1999. "Measurement Errors in the Japanese Consumer Price Index," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 17(3), pages 69-102, December.
    8. Brent R. Moulton & Karin E. Moses, 1997. "Addressing the Quality Change Issue in the Consumer Price Index," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1), pages 305-366.
    9. Miles Cahill & George Kosicki, 2000. "Exploring Economic Models Using Excel," Southern Economic Journal, John Wiley & Sons, vol. 66(3), pages 770-792, January.
    10. Mario Reinhold, 2016. "On the Link between Job Polarisation and Wage Inequality - A regional approach for Germany," ERSA conference papers ersa16p361, European Regional Science Association.
    11. Sologon, Denisa M. & O'Donoghue, Cathal & Linden, Jules & Kyzyma, Iryna & Loughrey, Jason, 2022. "Welfare and Distributional Impact of Soaring Prices in Europe," IZA Discussion Papers 15738, IZA Network @ LISER.
    12. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    13. J. Octavio Gutierrez-Garcia & Kwang Mong Sim, 2012. "GA-based cloud resource estimation for agent-based execution of bag-of-tasks applications," Information Systems Frontiers, Springer, vol. 14(4), pages 925-951, September.
    14. Shanaka Herath & Gunther Maier, 2010. "The Hedonic Price Method in Real Estate and Housing Market Research: A Review of the Literature," SRE-Disc sre-disc-2010_03, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    15. Michael J. Dueker & Andreas M. Fischer, 1997. "The FOMC in 1996: \\"watchful waiting\\"," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 7-23.
    16. Michael Reutter & Hans-Werner Sinn, 2000. "The Minimum Inflation Rate for Euroland," CESifo Working Paper Series 377, CESifo.
    17. McCloskey, Deirdre Nansen, 2009. "Growth, Quality, Happiness, and the Poor," MPRA Paper 17967, University Library of Munich, Germany.
    18. Lieu, Pang-Tien & Liang, Jung-Hui & Chen, Jui-Hui, 2008. "Consumer preferences and cost of living in Taiwan," Journal of Asian Economics, Elsevier, vol. 19(3), pages 224-235, June.
    19. Chenarides, Lauren & Hanks, Andrew S. & Berard, Jake & Carlson, Andrea C. & Davis, George & Finaret, Amelia B., 2025. "A review of data linkages for policy-informing research in food and agricultural economics," Food Policy, Elsevier, vol. 137(C).
    20. Miśkiewicz, Janusz, 2010. "Entropy correlation distance method. The Euro introduction effect on the Consumer Price Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1677-1687.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:istatr:v:89:y:2021:i:3:p:481-504. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/isiiinl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.