Sampling 4
Author: Brian Graf
Language:
English
Keywords:
cconsumer price index; CPI; CPI Manual; CPI concepts; CPI methods; CPI practice; CPI best practice; CPI international recommendations; CPI weights; CPI data; CPI compilation; CPI calculation; index formulas; scanner data; web scraping; CPI outlets; CPI publication; CPI dissemination; CPI sampling; CPI items; CPI varieties; CPI missing prices; CPI quality adjustment; CPI linking; CPI and SNA; CPI overview; CPI data collection; CPI uses; CPI definitions; M&G; reference period; price change; price collector; price collection; CPI compiler; change variance; outlet type; collection frequency; price statistician; Consumer price indexes; Price indexes

Abstract

4.1 To construct a perfectly accurate consumer price index (CPI), the price statistician would need to record the price of every variety of all the goods and services that are in the scope of the CPI. Because it is too costly and, in practice, impossible to regularly record all the prices of the universe in a timely manner, sampling techniques are used to select a subset of prices that eventually enter the index compilation. Consequently, a CPI compilation is based on samples.

Within Same Series

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Cover Consumer Price Index Manual, 2020
Consumer Price Index Manual, 2020
Concepts and Methods
Author: Brian Graf
ISBN:
9781484354841
ISSN:
2663-3744
Publication Date:
19 Nov 2020
Publisher:
International Monetary Fund
DOI:
https://doi.org/10.5089/9781484354841.069
Pages:
509

  • Abe, N., and K. Shinozaki. 2018. “Compilation of Experimental Price Indexes Using Big Data and Machine Learning: A Comparative Analysis and Validity Verification.” Paper presented at the UNECE/ILO Meeting of the Group of Experts on Consumer Price Indices, Geneva, May 7–9. https://www.unece.org.

    • Search Google Scholar
    • Export Citation

  • Abraham, K. G., J. S. Greenlees, and B. R. Moulton. 1998. “Working to Improve the Consumer Price Index.” Journal of Economic Perspectives 12 (1): 27–36.

    • Search Google Scholar
    • Export Citation

  • Aczél, J. 1987. A Short Course on Functional Equations. Dordrecht: Reidel Publishing Co.

  • Advisory Commission to Study the Consumer Price Index. 1995. Toward a More Accurate Measure of the Cost of Living. Interim Report to the Senate Finance Committee, September 15. Washington, DC.

    • Search Google Scholar
    • Export Citation

  • Aizcorbe, A. M., and P. C. Jackman. 1993. “The Commodity Substitution Effect in CPI Data, 1982–91.” Monthly Labor Review 116 (12): 25–33.

    • Search Google Scholar
    • Export Citation

  • Aizcorbe, A., C. Corrado, and M. Doms. 2001. Constructing Price and Quantity Indexes for High Technology Goods. Industrial Output Section, Division of Research and Statistics. Washington, DC: Board of Governors of the Federal Reserve System.

    • Search Google Scholar
    • Export Citation

  • Aizcorbe, A., C. Corrado, and M. Doms. 2003. “When Do Matched-Model and Hedonic Techniques Yield Similar Price Measures?” Working Paper 2003–14, Federal Reserve Bank of San Francisco, San Francisco, CA.

    • Search Google Scholar
    • Export Citation

  • Alterman, W. F., W. E. Diewert, and R. C. Feenstra. 1999. International Trade Price Indexes and Seasonal Commodities. Washington, DC: Bureau of Labor Statistics.

    • Search Google Scholar
    • Export Citation

  • Anderson, R. G., B. E. Jones, and T. Nesmith. 1997. “Building New Monetary Services Indexes: Concepts, Data and Methods.” Federal Reserve Bank of St. Louis Review 79 (1): 53–83.

    • Search Google Scholar
    • Export Citation

  • Arguea, N. M., C. Haseo, and G. A. Taylor. 1994. “Estimating Consumer Preferences Using Market Data: An Application to U.S. Automobile Demand.” Journal of Applied Econometrics 9: 1–18.

    • Search Google Scholar
    • Export Citation

  • Armknecht, P. A. 1996. “Improving the Efficiency of the U.S. CPI.” Working Paper No. 96/103, International Monetary Fund, Washington, DC.

    • Search Google Scholar
    • Export Citation

  • Armknecht, P. A. 2016. “Fixed Basket Methods for Compiling Consumer Price Indexes.” Meeting of the Group of Experts on Consumer Price Indices, Geneva, Switzerland, May 2–4, 2016. http://www.unece.org/index.php.

    • Search Google Scholar
    • Export Citation

  • Armknecht, P. A., and D. Weyback. 1989. “Adjustments for Quality Change in the U.S. Consumer Price Index.” Journal of Official Statistics 5 (2): 107–23.

    • Search Google Scholar
    • Export Citation

  • Armknecht, P. A., and F. Maitland-Smith. 1999. “Price Imputation and Other Techniques for Dealing with Missing Observations, Seasonality and Quality Change in Price Indices.” Working Paper No. 99/78, International Monetary Fund, Washington, DC. http://www.imf.org/external/pubs/ft/wp/1999/wp9978.pdf

    • Search Google Scholar
    • Export Citation

  • Armknecht, P. A., and M. Silver. 2014. “Post-Laspeyres: The Case for a New Formula for Compiling Consumer Price Indexes.” The Review of Income and Wealth 60 (2): 225–44.

    • Search Google Scholar
    • Export Citation

  • Armknecht, P. A., W. F. Lane, and K. J. Stewart. (1997) 2003. “New Products and the U.S. Consumer Price Index.” In Scanner Data and Price Indexes, NBER Studies in Income and Wealth, edited by R. C. Feenstra and M. D. Shapiro. Chicago, IL: University of Chicago Press, pp. 375–91.

    • Search Google Scholar
    • Export Citation

  • Arrow, K. J., H. B. Chenery, B. S. Minhas, and R. M. Solow. 1961. “Capital–Labor Substitution and Economic Efficiency.” Review of Economics and Statistics 63: 225–50.

    • Search Google Scholar
    • Export Citation

  • Astin, J. 1999. “The European Union Harmonized Indices of Consumer Prices (HICP).” in Proceedings of the Ottawa Group Fifth Meeting, Reykjavik, Iceland, August 25–27, edited by R. Gudnason and T. Gylfadottir. Reykjavík: Statistics Iceland; also published in Statistical Journal of the United Nations ECE16: 123–35. http://www.statcan.ca/secure/english/ottawagroup/.

    • Search Google Scholar
    • Export Citation

  • Astin, J. 2001. “New Uses of PPPs within the European Union.” Paper presented at the Joint World Bank–OECD Seminar on Purchasing Power Parities: Recent Advances in Methods and Applications, Washington, DC, January 30–February 2.

    • Search Google Scholar
    • Export Citation

  • Aten, B., R. Summers, and A. Heston. 2001. “An Explanation of Stability in Country Price Structures: Implications for Spatial– Temporal Comparisons.” Paper presented at the Joint World Bank–OECD Seminar on Purchasing Power Parities: Recent Advances in Methods and Applications, Washington, DC, January 30–February 2.

    • Search Google Scholar
    • Export Citation

  • Australian Bureau of Statistics. 1997. “An Analytical Framework for Price Indexes in Australia.” Information Paper, Catalogue No. 6421.0. http://www.abs.gov.au.

    • Search Google Scholar
    • Export Citation

  • Australian Bureau of Statistics. 2003. “Australian Consumer Price Index: Concepts, Sources and Methods.” Catalogue No. 6461.0. http://www.abs.gov.au/.

    • Search Google Scholar
    • Export Citation

  • Australian Bureau of Statistics. 2009. “Consumer Price Index: Concepts, Sources and Methods.” Catalogue No. 6461.0, ABS, Canberra. http://www.abs.gov.au/ausstats/abs@.nsf/mf/6461.0.

    • Search Google Scholar
    • Export Citation

  • Australian Bureau of Statistics. 2013. “Feature Article: The Use of Transactions Data to Compile the Australian Consumer Price Index.” Catalogue No. 6401.0, ABS, Canberra. http://www.abs.gov.au/.

    • Search Google Scholar
    • Export Citation

  • Australian Bureau of Statistics. 2015. “Enhancing the Australian CPI: A Roadmap.” Catalogue No. 6401.0.60.001, ABS, Canberra. http://www.abs.gov.au/.

    • Search Google Scholar
    • Export Citation

  • Australian Bureau of Statistics. 2016a. “Making Greater Use of Transactions Data to Compile the Consumer Price Index.” Information Paper 6401.0.60.003, ABS, Canberra. http://www.abs.gov.au/.

    • Search Google Scholar
    • Export Citation

  • Australian Bureau of Statistics. 2016b. “Measuring Price Change of Attached Dwellings in the CPI.” Feature Article, ABS, Canberra. http://www.abs.gov.au/.

    • Search Google Scholar
    • Export Citation

  • Australian Bureau of Statistics. 2017a. “An Implementation Plan to Maximise the Use of Transactions Data in the CPI.” Information Paper 6401.0.60.004, ABS, Canberra. http://www.abs.gov.au/.

    • Search Google Scholar
    • Export Citation

  • Australian Bureau of Statistics. 2017b. “Introduction of the 17th Series Australian Consumer Price Index.” Information Paper 6470.0.55.001, ABS, Canberra. http://www.abs.gov.au/AUS-STATS/abs@.nsf/DetailsPage/6470.0.55.0012017.

    • Search Google Scholar
    • Export Citation

  • Bäckström, Peter, and Muhanad Sammar. 2012. “The Use of Superlative Index Links in the Swedish CPI.” Paper presented at the meeting of the Group of Experts on CPI, Geneva. https://www.unece.org/index.php.

    • Search Google Scholar
    • Export Citation

  • Bailey, M. J., R. F. Muth, and H. O. Nourse. 1963. “A Regression Method for Real Estate Price Construction.” Journal of the American Statistical Association 58: 933–42.

    • Search Google Scholar
    • Export Citation

  • Baker, D. 1998. “Does the CPI Overstate Inflation? An Analysis of the Boskin Commission Report.” In Getting Prices Right, edited by D. Baker. Washington, DC: Economic Policy Institute, pp. 79–155.

    • Search Google Scholar
    • Export Citation

  • Baldwin, A. 1990. “Seasonal Baskets in Consumer Price Indexes.” Journal of Official Statistics 6 (3): 251–73.

  • Baldwin, A., A. Nakamura, and M. Prudhomme. 2010. “An Empirical Analysis of the Different Concepts for Owned Accommodation in the Canadian CPI: The Case of Ottawa, 1996–2005.” Paper presented at the UNECE/ILO Meeting of the Group of Experts on Consumer Price Indices, Geneva, May 10–12. https://www.unece.org.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 1980a. “Seasonal Products in Agriculture and Horticulture and Methods for Computing Price Indices.” Statistical Studies No. 24. The Hague: Netherlands Central Bureau of Statistics.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 1980b. “Seasonal Commodities and the Construction of Annual and Monthly Price Indexes.” Statistische Hefte 21: 110–6.

  • Balk, B. M. 1980c. “A Method for Constructing Price Indices for Seasonal Commodities.” The Journal of the Royal Statistical Society Series A 143: 68–75.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 1981. “A Simple Method for Constructing Price Indices for Seasonal Commodities.” Statistische Hefte 22: 72–8.

  • Balk, B. M. 1983. “Does There Exist a Relation between Inflation and Relative Price Change Variability? The Effect of the Aggregation Level.” Economic Letters 13: 173–180.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 1985. “A Simple Characterization of Fisher’s Price Index.” Statistische Hefte 26: 59–63.

  • Balk, B. M. 1989a. “Changing Consumer Preferences and the Cost of Living Index: Theory and Nonparametric Expressions.” Zeitschrift für Nationalökonomie 50 (2): 157–69.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 1989b. “On Calculating the Precision of Consumer Price Indices.” Contributed Papers 47th Session of the ISI. Paris: International Statistical Institute.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 1990. “On Calculating Cost-of-Living Index Numbers for Arbitrary Income Levels.” Econometrica 58 (1): 75–92.

  • Balk, B. M. 1994. “On the First Step in the Calculation of a Consumer Price Index.” Paper presented at First Meeting of the International Working Group on Price Indices, Ottawa, October 31–November 4. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 1995. “Axiomatic Price Index Theory: A Survey.” International Statistical Review 63: 69–93.

  • Balk, B. M. 1996a. “A Comparison of Then Methods for Multilateral International Price and Volume Comparisons.” Journal of Official Statistics 12: 199–222.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 1996b. “Consistency in Aggregation and Stuvel Indices.” The Review of Income and Wealth 42: 353–63.

  • Balk, B. M. 1998a. Industrial Price, Quantity and Productivity Indices. Boston, MA: Kluwer Academic Publishers.

  • Balk, B. M. 1998b. “On the Use of Unit Value Indices as Consumer Price Subindices.” Paper presented at the Fourth Meeting of the International Working Group on Price Indices, Washington, DC, April 22–24. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 2000a. “Divisia Price and Quantity Indexes 75 Years After.” Draft Paper, Department of Statistical Methods, Statistics Netherlands, Voorburg.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 2000b. “On Curing the CPI’s Substitution and New Goods Bias.” Research Paper 0005, Department of Statistical Methods, Statistics Netherlands, Voorburg.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 2001. Aggregation Methods in International Comparisons: What Have We Learned? Report Series Research in Management ERS-2001–41-MKT, Erasmus Research Institute of Management. Rotterdam: Erasmus University.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 2005. “Price Indexes for Elementary Aggregates: The Sampling Approach.” Journal of Official Statistics 21: 675–99.

  • Balk, B. M. 2008. Price and Quantity Index Numbers. Cambridge: University Press.

  • Balk, B. M. 2008. Price and Quantity Index Numbers: Models for Measuring Aggregate Change and Difference. New York: Cambridge University Press.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M. 2010. “Lowe and Cobb-Douglas Consumer Price Indexes and Their Substitution Bias.” Jahrbücher für Nation-alökonomie und Statistik (The Journal of Economics and Statistics) 230 (6): 726–40.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M., and H. M. P. Kersten. 1986. “On the Precision of Consumer Price Indices Caused by the Sampling Variability of Budget Surveys.” Journal of Economic and Social Measurement 14: 19–35.

    • Search Google Scholar
    • Export Citation

  • Balk, B. M., and W. E. Diewert. 2001. “A Characterization of the Törnqvist Price Index.” Economics Letters 73: 279–81.

  • Ball, A., and D. Fenwick. 2004. “Costing Mobile Telephone Calls: The Use of Constrained User Profiles.” Paper presented at the Eighth Meeting of the International Working Group on Price Indices, Helsinki, August 23–25. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Bartik, T. J. 1988. “Measuring the Benefits of Land Improvements in Hedonic Models.” Land Economics 64 (2): 172–83.

  • Bas, C. 2018. “Different Approaches and Methods for Strong Seasonal Items in the CPI.” Paper presented at the UNECE/ILO Meeting of the Group of Experts on Consumer Price Indices, Geneva, May 7–9. https://www.unece.org.

    • Search Google Scholar
    • Export Citation

  • Bascher, J., and T. Lacroix. 1999. “Dishwashers and PCs in the French CPI: Hedonic Modeling, from Design to Practice.” Paper presented at the Fifth Meeting of the International Working Group on Price Indices, Reykjavik, August 25–27. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Baxter, M. (ed.). 1998. The Retail Prices Index. Technical Manual. London: Office for National Statistics, UK.

  • Bean, L. H., and O. C. Stine. 1924. “Four Types of Index Numbers of Farm Prices.” Journal of the American Statistical Association 19: 30–5.

    • Search Google Scholar
    • Export Citation

  • Becker, G. S. 1965. “A Theory of the Allocation of Time.” Economic Journal 75: 493–517.

  • Beck-MacNeil, R. 2018. “Pricing the Internet—The Internet Access Services Component of the Canadian CPI.” Statistics Canada. Paper presented at the UNECE/ILO Meeting of the Group of Experts on Consumer Price Indices, Geneva, May 7–9. https://www.unece.org.

    • Search Google Scholar
    • Export Citation

  • Beidelman, C. 1973. Valuation of Used Capital Assets. Sarasota, FL: American Accounting Association.

  • Beidelman, C. 1976. “Economic Depreciation in a Capital Goods Industry.” National Tax Journal 29: 379–90.

  • Beisteiner, A. 2008. “Optimal Allocation of Prices in Practice— Using the Neumann Formula as Tool.” Paper presented at the UNECE/ILO Meeting of the Group of Experts on Consumer Price Indices, Geneva, May 8–9. https://www.unece.org.

    • Search Google Scholar
    • Export Citation

  • Bentley, A., and F. Krsinich. 2017. “Towards a Big Data CPI for New Zealand.” Paper presented at the Fifteen Meeting of the International Working Group on Price Indices, Eltville am Rhein, May 10–12. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Bernardini, A., C. De Vitiis, A. Guandalini, F. Inglese, and M. D. Terribili. 2016. “Measuring Inflation Through Different Sampling Designs Implemented on Scanner Data.” Paper presented at Meeting of the Group of Experts on Consumer Price Indices, Geneva, Switzerland, May 2–4.

    • Search Google Scholar
    • Export Citation

  • Berndt, E. R. 1991. The Practice of Econometrics: Classic and Contemporary. Reading, MA: Addison-Wesley.

  • Berndt, E. R., D. Ling, and M. K. Kyle. 2003. “The Long Shadow of Patent Expiration: Generic Entry and Rx to OTC Switches.” In Scanner Data and Price Indexes, NBER Studies in Income and Wealth, edited by M. Shapiro and R. C. Feenstra. Chicago, IL: University of Chicago Press, pp. 229–73.

    • Search Google Scholar
    • Export Citation

  • Berndt, E. R., L. T. Bui, D. H. Lucking-Reiley, and G. L. Urban. 1997. “The Roles of Marketing, Product Quality and Price Competition in the Growth and Composition of the U.S. Anti-Ulcer Drug Industry.” In The Economics of New Goods, NBER Studies in Income and Wealth, edited by T. Bresnahan and R. J. Gordon. Chicago and London: University of Chicago Press, pp. 232–77.

    • Search Google Scholar
    • Export Citation

  • Berndt, E. R., Z. Griliches, and N. J. Rappaport. 1995. “Econometric Estimates of Price Indexes for Personal Computers in the 1990s.” Journal of Econometrics 68: 243–68.

    • Search Google Scholar
    • Export Citation

  • Berry, S., J. Levinsohn, and A. Pakes. 1995. “Automobile Prices in Market Equilibrium.” Econometrica 63 (4): 841–90; also published as NBER Working Paper No. W4264, July 1996. http://www.nber.org.

    • Search Google Scholar
    • Export Citation

  • Beuerlein, I. 2001. “The German Consumer Price Index for Telecommunication Services: A User Profile Approach for Mobile Technology and Internet Access.” Paper presented at the Sixth Meeting of the International Working Group on Price Indices, Canberra, April 2–6. http://www.ottawagroup.org/.

    • Search Google Scholar
    • Export Citation

  • Bhardwaj, H., T. Flower, P. Lee, and M. Mayhew. 2017. Research Indices Using Web Scraped Price Data. August 2017 Update, UK Office for National Statistics, London.

    • Search Google Scholar
    • Export Citation

  • Bird, D., R. Breton, C. Payne, and A. Restieaux. 2014. Initial Report on Experiences with Scanner Data in ONS. Report, Office for National Statistics, Newport, UK.

    • Search Google Scholar
    • Export Citation

  • Bode, B., and van J. Dalén. 2001. “Quality-Corrected Price Indexes of New Passenger Cars in the Netherlands, 1990–1999.” Paper presented at the Sixth Meeting of the International Working Group on Price Indices, Canberra, April 2–6. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Boettcher, I. 2015. “Automatic Data Collection on the Internet (Web Scraping).” Statistic Austria. Paper presented at the Fourteen Meeting of the International Working Group on Price Indices, Tokyo, May 20–22. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Böhm-Bawerk, E. V. 1891. The Positive Theory of Capital. Translated from the original German edition of 1888 by W. Smart. New York: G. E. Stechert.

    • Search Google Scholar
    • Export Citation

  • Bortkiewicz, L. V. 1923. “Zweck und Struktur einer Preisin-dexzahl.” Nordisk Statistisk Tidsskrift 2: 369–408.

  • Boskin, M. J. (Chair), E. R. Dullberger, R. J. Gordon, Z. Griliches, and D. W. Jorgenson. 1996. Final Report of the Commission to Study the Consumer Price Index, U.S. Senate, Committee on Finance. Washington, DC: U.S. Government Printing Office.

    • Search Google Scholar
    • Export Citation

  • Boskin, M. J. (Chair), E. R. Dullberger, R. J. Gordon, Z. Griliches, and D. W. Jorgenson. 1998. “Consumer Prices in the Consumer Price Index and the Cost of Living.” Journal of Economic Perspectives 12 (1): 3–26.

    • Search Google Scholar
    • Export Citation

  • Böttcher, I., and S. Sergeev. 2014. “Austrian Scanner Data Project—Report Multipurpose Consumer Price Statistics: The Use of Scanner Data.” Paper presented at the UNECE/ILO Meeting of the Group of Experts on Consumer Price Indices, Geneva, May 26–8. https://www.unece.org.

    • Search Google Scholar
    • Export Citation

  • Bowley, A. L. 1899. “Wages, Nominal and Real.” In Dictionary of Political Economy, Volume 3, edited by R. H. I. Palgrave. London: Macmillan, pp. 640–51.

    • Search Google Scholar
    • Export Citation

  • Bowley, A. L. 1901. Elements of Statistics. Westminster: Orchard House.

  • Bowley, A. L. 1919. “The Measurement of Changes in the Cost of Living.” Journal of the Royal Statistical Society 82: 343–61.

  • Bradley, R. 1995. “The Use of Scanner Data as a Means to Reduce the Mean Squared Error in the CPI.” Working paper, U.S. Department of Labor, Bureau of Labor Statistics, Washington, DC.

    • Search Google Scholar
    • Export Citation

  • Bradley, R. 2007. “Analytical Bias Reduction for Small Samples in the U.S. Consumer Price Index.” Journal of Business & Economic Statistics 25: 337–46.

    • Search Google Scholar
    • Export Citation

  • Bradley, R., B. Cook, S. E. Leaver, and B. R. Moulton. 1997. “An Overview of Research on Potential Uses of Scanner Data in the U.S. CPI.” Paper presented at the Third Meeting of the International Working Group on Price Indices, Voorburg, April 16–18. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Braithwait, S. D. 1980. “The Substitution Bias of the Laspeyres Price Index: An Analysis Using Estimated Cost-of-Living Indexes.” American Economic Review 70 (1): 64–77.

    • Search Google Scholar
    • Export Citation

  • Brand, M., C. Vermeulen, D. Fischbach, and Y. Carpy. 2017. “Swiss Residential Property Price Index: The Use of Geolocal-ised Information for Quality Adjustment in Location.” Paper presented at the Fifteenth Meeting of the International Working Group on Price Indices, Eltville, May 10–12. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Bresnahan, T. F. 1997. “Comment.” In The Economics of New Goods, NBER Studies in Income and Wealth, edited by T. F. Bresnahan and R. J. Gordon. Chicago, IL: University of Chicago Press, pp. 237–47.

    • Search Google Scholar
    • Export Citation

  • Breton, R., G. Clews, L. Metcalfe, N. Milliken, C. Payne, J. Winton, and A. Woods. 2016. “Research Indices Using Web Scraped Data.” Paper presented at the UNECE/ILO Meeting of the Group of Experts on Consumer Price Indices, Geneva, May 2–4. https://www.unece.org.

    • Search Google Scholar
    • Export Citation

  • Brown, C., and A. Stockburger. 2006. “Item Replacement and Quality Change in Apparel Price Indexes.” Monthly Labor Review (December): 35–45. https://www.bls.gov/opub/mlr/2006/12/art3full.pdf.

    • Search Google Scholar
    • Export Citation

  • Burnett-Isaacs, K. 2015. “Using Hedonics to Create Land and Structure Indexes for the Ottawa Condominium Market.” Paper presented at the Fourteen Meeting of the International Working Group on Price Indices, Tokyo, May 20–22. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Cage, R., J. S. Greenlees, and P. Jackman. 2003. “Introducing the Chained Consumer Price Index.” In International Working Group on Price Indices (Ottawa Group): Proceedings of the Seventh Meeting, edited by Thierry Lacroix. Paris: INSEE, pp. 213–46.

    • Search Google Scholar
    • Export Citation

  • Canning, J. B. 1929. The Economics of Accountancy. New York: The Ronald Press Co.

  • Carli, G.-R. 1804. “Del valore e della proporzione dei metallic monetati.” In Scrittori classici italiani di economia politica, Vol. 13. Milano: G. G. Destefanis, pp. 297–366; originally published in 1764.

    • Search Google Scholar
    • Export Citation

  • Carruthers, A. G., D. J. Sellwood, and P. W. Ward. 1980. “Recent Developments in the Retail Prices Index.” The Statistician 29: 1–32.

    • Search Google Scholar
    • Export Citation

  • Cassel, E., and R. Mendelsohn. 1985. “On the Choice of Functional Forms for Hedonic Price Equations: Comment.” Journal of Urban Economics 18 (September): 135–42.

    • Search Google Scholar
    • Export Citation

  • Castles, I. 1997. The OECD–EUROSTAT PPP Program: Review of Practice and Procedures. Paris: OECD.

  • Cavallo, A. 2016. “Are Online and Offine Prices Similar? Evidence from Large Multi-Channel Retailers.” Massachusetts Institute of Technology. Paper presented at the UNECE/ILO Meeting of the Group of Experts on Consumer Price Indices, Geneva, May 2–4. https://www.unece.org.

    • Search Google Scholar
    • Export Citation

  • Cavallo, A., and R. Rigobon. 2016. “The Billion Dollar Project. Using Online Data for Measurement and Research.” MIT & NBER. Paper presented at the UNECE/ILO Meeting of the Group of Experts on Consumer Price Indices, Geneva, May 2–4. https://www.unece.org.

    • Search Google Scholar
    • Export Citation

  • Cavallo, A., and R. Rigobon. 2016. “The Billion Prices Project: Using Online Prices for Measurement and Research.” Journal of Economic Perspectives 30 (2): 151–78.

    • Search Google Scholar
    • Export Citation

  • Caves, D. W., L. R. Christensen, and W. E. Diewert. 1982a. “The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity.” Econometrica 50: 1393–414.

    • Search Google Scholar
    • Export Citation

  • Caves, D. W., L. R. Christensen, and W. E. Diewert. 1982b. “Multilateral Comparisons of Output, Input and Productivity Using Superlative Index Numbers.” Economic Journal 92: 73–86.

    • Search Google Scholar
    • Export Citation

  • Cecchetti, S. G. 1997. “Measuring Inflation for Central Bankers.” Federal Reserve Bank of St. Louis Review 79: 143–55.

  • Chessa, A. G. 2017. “Comparisons of QU-GK Indices for Different Lengths of the Time Window and Updating Methods.” Paper prepared for the Second Meeting on Multilateral Methods Organised by Eurostat, Luxembourg, March 14–15, Statistics Netherlands.

    • Search Google Scholar
    • Export Citation

  • Chessa, A. G. 2020. “A Comparison of Multilateral Index Extension Methods on Transaction Data of Seasonal Items.” Paper presented at the meeting of the Ottawa Group, Rio de Janeiro, May 8–10, 2019.

    • Search Google Scholar
    • Export Citation

  • Chessa, A. G., and R. Griffoen. 2016. “A New Methodology for Processing Scanner Data in the Dutch CPI.” Eurona 1: 49–69.

  • Chessa, A. G., J. Verburg, and L. Willenborg. 2017. “A Comparison of Price Index Methods for Scanner Data.” Paper presented at the Fifteen Meeting of the International Working Group on Price Indices, Eltville am Rhein, May 10–12. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Christensen, L. R., and D. W. Jorgenson. 1969. “The Measurement of U.S. Real Capital Input, 1929–1967.” Review of Income and Wealth 15 (4): 293–320.

    • Search Google Scholar
    • Export Citation

  • Christensen, L. R., D. W. Jorgenson, and L. J. Lau. 1971. “Conjugate Duality and the Transcendental Logarithmic Production Function.” Econometrica 39: 255–56.

    • Search Google Scholar
    • Export Citation

  • Church, A. H. 1901. “The Proper Distribution of Establishment Charges, Part III.” The Engineering Magazine 21: 904–12.

  • Clements, K. W., and H. Y. Izan. 1981. “A Note on Estimating Divisia Index Numbers.” International Economic Review 22: 745–47.

  • Clements, K. W., and H. Y. Izan. 1987. “The Measurement of Inflation: A Stochastic Approach.” Journal of Business and Economic Statistics 5: 339–50.

    • Search Google Scholar
    • Export Citation

  • Cobb, C., and P. H. Douglas. 1928. “A Theory of Production.” American Economic Review 18: 39–165.

  • Cochran, W. G. 1977. Sampling Techniques, 3rd edition. New York: Wiley.

  • Cockburn, I. M., and A. H. Anis. 1998. “Hedonic Analysis and Arthritic Drugs.” Working Paper 6574, National Bureau of Economic Research, Cambridge, MA.

    • Search Google Scholar
    • Export Citation

  • Coggeshall, F. 1887. “The Arithmetic, Geometric and Harmonic Means.” Quarterly Journal of Economics 1: 83–6.

  • Combris, P., S. Lecocqs, and M. Visser. 1997. “Estimation of a Hedonic Price Equation for Bordeaux Wine: Does Quality Matter?” Economic Journal 107 (441): 390–402.

    • Search Google Scholar
    • Export Citation

  • Commission of the European Communities (Eurostat), International Monetary Fund, Organisation for Economic Co-operation and Development, United Nations, and World Bank. 1993. System of National Accounts 1993. Brussels/Luxembourg, New York, Paris, Washington, DC: United Nations.

    • Search Google Scholar
    • Export Citation

  • Congressional Budget Office (CBO). 1994. “Is the Growth of the CPI a Biased Measure of Changes in the Cost of Living?” CBO Paper, October, Washington, DC.

    • Search Google Scholar
    • Export Citation

  • Crawford, A. 1998. “Measurement Biases in the Canadian CPI: An Update.” Bank of Canada Review (Spring): 39–56.

  • Cropper, M. L., L. L. Deck, and K. E. McConnell. 1988. “On the Choice of Functional Form for Hedonic Price Functions.” Review of Economics and Statistics 70 (4): 668–75.

    • Search Google Scholar
    • Export Citation

  • Crump, N. 1924. “The Interrelation and Distribution of Prices and Their Incidence upon Price Stabilization.” Journal of the Royal Statistical Society 87: 167–206.

    • Search Google Scholar
    • Export Citation

  • Cunningham, A. W. F. 1996. “Measurement Bias in Price Indices: An Application to the UK’s RPI, Bank of England.” Working Paper 47, Bank of England, London.

    • Search Google Scholar
    • Export Citation

  • Curry, B., P. Morgan, and M. Silver. 2001. “Hedonic Regressions: Mis-specification and Neural Networks.” Applied Economics 33: 659–71.

    • Search Google Scholar
    • Export Citation

  • Czinkota, M. R., and I. Ronkainen. 1997. “International Business and Trade in the Next Decade: Report from a Delphi Study.” Journal of International Business Studies 28 (4): 827–44.

    • Search Google Scholar
    • Export Citation

  • Dalén, J. 1992. “Computing Elementary Aggregates in the Swedish Consumer Price Index.” Journal of Official Statistics 8: 129–47.

  • Dalén, J.. 1994. “Sensitivity Analyses for Harmonizing European Consumer Price Indices.” Paper presented at the First Meeting of the International Working Group on Price Indices, Ottawa, October 31–November 4. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Dalén, J.. 1995. “Quantifying Errors in the Swedish Consumer Price Index.” Journal of Official Statistics 13 (3): 347–56.

  • Dalén, J.. 1997. “Experiments with Swedish Scanner Data.” Paper presented at the Third Meeting of the International Working Group on Price Indices, Voorburg, April 16–18. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Dalén, J.. 1998a. “On the Statistical Objective of a Laspeyres Price Index.” Paper presented at the Fourth Meeting of the International Working Group on Price Indices, Washington, DC, April 22–24. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Dalén, J.. 1998b. “Studies on the Comparability of Consumer Price Indices.” International Statistical Review 66 (1): 83–113.

  • Dalén, J.. 1999a. “On Reliability, Uncertainty and Bias in Consumer Price Indexes.” In Proceedings of the Measurement of Inflation Conference, edited by M. Silver and D. Fenwick. Cardiff: Cardiff University, pp. 184–90.

    • Search Google Scholar
    • Export Citation

  • Dalén, J.. 2017. “Unit Values and Aggregation in Scanner Data— Towards a Best Practice.” Paper presented at the Fifteen Meeting of the International Working Group on Price Indices, Eltville am Rhein, May 10–12. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • Dalén, J., and E. Ohlsson. 1995. “Variance Estimation in the Swedish Consumer Price Index.” Journal of Business and Economic Statistics 13 (3): 347–56.

    • Search Google Scholar
    • Export Citation

  • Dalton, K. V., J. S. Greenlees, and K. J. Stewart. 1998. “Incorporating a Geometric Mean Formula into the CPI.” Monthly Labor Review 121 (10): 3–7.

    • Search Google Scholar
    • Export Citation

  • Davies, G. R. 1924. “The Problem of a Standard Index Number Formula.” Journal of the American Statistical Association 19: 180–88.

  • Davies, G.R. 1932. “Index Numbers in Mathematical Economics.” Journal of the American Statistical Association 27: 58–64.

  • De Gregorio, C. 2012. “Sample Size for the Estimate of Consumer Price Subindices with Alternative Statistical Designs.” Rivista di statistica uffciale N° 1/2012.

    • Search Google Scholar
    • Export Citation

  • De Haan, J. 2001. “Generalised Fisher Price Indexes and the Use of Scanner Data in the CPI.” Unpublished paper, Statistics Netherlands, Voorburg.

    • Search Google Scholar
    • Export Citation

  • De Haan, J. 2003. “Time Dummy Approaches to Hedonic Price Measurement.” Paper presented at the Seventh Meeting of the International Working Group on Price Indices, Paris, May 27–29. http://www.insee.fr/.

    • Search Google Scholar
    • Export Citation

  • De Haan, J. 2004. “Estimating Quality-Adjusted Unit Value Indexes: Evidence from Scanner Data.” Paper presented at the SSHRC International Conference on Index Number Theory and the Measurement of Prices and Productivity, June 30–July 3, Vancouver, Canada.

    • Search Google Scholar
    • Export Citation

  • De Haan, J. 2015. “A Framework for Large Scale Use of Scanner Data in the Dutch CPI.” Paper presented at the Fourteen Meeting of the International Working Group on Price Indices, Tokyo, May 20–22. http://www.ottawagroup.org.

    • Search Google Scholar
    • Export Citation

  • De Haan, J. 2018. “Scanner Data in the CPI: The Imputation CCDI Index Revisited.” Paper presented at the 18th EMG Workshop, November 29–30, UNSW, Sydney, Australia.

    • Search Google Scholar
    • Export Citation

  • De Haan, J., and F. Krsinich. 2014. “Scanner Data and the Treatment of Quality Change in Nonrevisable Price Indexes.” Journal of Business & Economic Statistics 32: 341–58.

    • Search Google Scholar
    • Export Citation

  • De Haan, J., and F. Krsinich. 2018. “Time Dummy Hedonic and Quality-Adjusted Unit Value Indexes: Do They Really Differ?” Review of Income and Wealth 64: 757–76.

    • Search Google Scholar
    • Export Citation

  • De Haan, J., and H. A. van der Grient. 2011. “Eliminating Chain Drift in Price Indexes Based on Scanner Data.” Journal of Econometrics 161: 36–46.

    • Search Google Scholar
    • Export Citation

  • De Haan, J., and H. van der Grient. 2009. “Eliminating Chain Drift in Price Indexes Based on Scanner Data.” Statistics Netherlands. https://www.unece.org/fleadmin/DAM/stats/documents/ece/ces/ge.22/2010/zip.8.e.pdf.

    • Search Google Scholar
    • Export Citation

  • De Haan, J., E. Opperdoes, and C. Schut. 1999. “Item Selection in the Consumer Price Index: Cut-Off versus Probability Sampling.” Survey Methodology 25 (1): 31–41.

    • Search Google Scholar
    • Export Citation

  • De Haan, J., R. Hendriks, and M. Scholz. 2016. “A Comparison of Weighted Time-Product Dummy and Time Dummy Hedonic Indexes.” Graz Economics Papers 2016–13, Department of Economics, University of Graz, Austria.

    • Search Google Scholar
    • Export Citation

  • De Waal, T., J. Pannekoek, and S. Scholtus. 2011. Handbook of Statistical Data Editing and Imputation. Hoboken, NJ: John Wiley & Sons. https://leseprobe.buch.de/images-adb/5c/b5/5cb50a55-cc80-4e75-821b-591e49dc38bb.pdf.

    • Search Google Scholar
    • Export Citation

  • Deaton, A. 1998. “Getting Prices Right: What Should Be Done?” Journal of Economic Perspectives 12 (1): 37–46.

  • Denny, M. 1974. “The Relationship between Functional Forms for the Production System.” Canadian Journal of Economics 7: 21–31.

  • Diewert, W. E. (1983a) 1990. “The Theory of the Cost of Living Index and the Measurement of Welfare Change.” In Price Level Measurement, edited by W. E. Diewert and C. Montmarquette. Ottawa: Statistics Canada, pp. 163–233; reprinted in Price Level Measurement, edited by W. E. Diewert. Amsterdam: North-Holland, pp. 79–147.

    • Search Google Scholar
    • Export Citation

  • Diewert, W. E. 1974a. “Applications of Duality Theory.” In Frontiers of Quantitative Economics, Vol. II, edited by M. D. Intriligator and D. A. Kendrick. Amsterdam: North-Holland, pp. 106–71.

    • Search Google Scholar
    • Export Citation

  • Diewert, W. E. 1974b. “Intertemporal Consumer Theory and the Demand for Durables.” Econometrica 42: 497–516.

  • Diewert, W. E. 1976. “Exact and Superlative Index Numbers.” Journal of Econometrics 4: 114–45.

  • Diewert, W. E. 1978. “Superlative Index Numbers and Consistency in Aggregation.” Econometrica 46: 883–900.

  • Diewert, W. E. 1980. “Aggregation Problems in the Measurement of Capital.” In The Measurement of Capital, NBER Studies in Income and Wealth, edited by D. Usher. Chicago, IL: University of Chicago Press, pp. 433–528.

    • Search Google Scholar
    • Export Citation

  • Diewert, W. E. 1983a. “The Theory of the Output Price Index and the Measurement of Real Output Change.” In Price Level Measurement, edited by W. E. Diewert and C. Montmarquette. Ottawa: Statistics Canada, pp. 1049–113.

    • Search Google Scholar
    • Export Citation

  • Diewert, W. E. 1983b. “The Treatment of Seasonality in a Cost of Living Index.” In Price Level Measurement, edited by W. E. Diewert and C. Montmarquette. Ottawa: Statistics Canada, pp. 1019–45.