IDEAS home Printed from https://ideas.repec.org/p/ags/uerstb/206500.html
   My bibliography  Save this paper

How USDA Forecasts Retail Food Price Inflation

Author

Listed:
  • Kuhns, Annemarie
  • Leibtag, Ephraim
  • Volpe, Richard
  • Roeger, Ed

Abstract

Wholesale and retail food price forecasts are useful to farmers, processors, wholesalers, consumers, and policymakers alike, as the structure and environment of food and agricultural economies are continually evolving. USDA's Economic Research Service analyzes food prices and provides 12- to 18-month food price forecasts for 7 farm, 6 wholesale, and 19 retail food categories. In 2011, ERS’s forecasting procedure was updated to employ a vertical price transmission method that incorporates input prices at each stage of production. Where this is not possible, an autoregressive moving average approach is used. This report provides a detailed description of the revised methodology as well as an analysis of the overall accuracy and performance of individual forecasts. The revised forecasting methods show modest increases in forecast accuracy compared with simple univariate approaches previously used by ERS.

Suggested Citation

  • Kuhns, Annemarie & Leibtag, Ephraim & Volpe, Richard & Roeger, Ed, 2015. "How USDA Forecasts Retail Food Price Inflation," Technical Bulletins 206500, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uerstb:206500
    DOI: 10.22004/ag.econ.206500
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/206500/files/tb1940.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.206500?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. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
    2. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
    3. Kejriwal, Mohitosh & Perron, Pierre, 2010. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 503-522.
    4. Canning, Patrick, 2011. "A Revised and Expanded Food Dollar Series: A Better Understanding of Our Food Costs," Economic Research Report 262243, United States Department of Agriculture, Economic Research Service.
    5. Roeger, Edward & Leibtag, Ephraim S., 2011. "How Retail Beef and Bread Prices Respond to Changes in Ingredient and Input and Costs," Economic Research Report 102757, United States Department of Agriculture, Economic Research Service.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. Wecker, William E, 1979. "Predicting the Turning Points of a Time Series," The Journal of Business, University of Chicago Press, vol. 52(1), pages 35-50, January.
    8. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    9. Levy, Daniel & Bergen, Mark & Dutta, Shantanu & Venable, Robert, 1997. "The Magnitude of Menu Costs: Direct Evidence from Large U.S. Supermarket Chains," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 112(3), pages 791-824.
    10. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    11. Mitchell, Donald, 2008. "A note on rising food prices," Policy Research Working Paper Series 4682, The World Bank.
    12. R. McFall Lamm & Paul C. Westcott, 1981. "The Effects of Changing Input Costs on Food Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(2), pages 187-196.
    13. Jochen Meyer & Stephan von Cramon‐Taubadel, 2004. "Asymmetric Price Transmission: A Survey," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 581-611, November.
    14. Joutz, Frederick L. & Trost, Robert P. & Hallahan, Charles B. & Clauson, Annette L. & Denbaly, Mark, 2000. "Retail Food Price Forecasting At Ers: The Process, Methodology, And Performance From 1984 To 1997," Technical Bulletins 33575, United States Department of Agriculture, Economic Research Service.
    15. Kumcu, Aylin & Okrent, Abigail M., 2014. "Methodology for the Quarterly Food-Away-from-Home Prices Data," Technical Bulletins 291972, United States Department of Agriculture, Economic Research Service.
    16. Wohlgenant, Michael K., 2001. "Marketing margins: Empirical analysis," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 16, pages 933-970, Elsevier.
    17. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    18. Strazicich, Mark C. & Lee, Junsoo & Day, Edward, 2004. "Are incomes converging among OECD countries? Time series evidence with two structural breaks," Journal of Macroeconomics, Elsevier, vol. 26(1), pages 131-145, March.
    19. Volpe, Richard & Leibtag, Ephraim S. & Roeger, Edward, 2013. "How Transport Costs Affect Fresh Fruit and Vegetable Prices," Economic Research Report 161355, United States Department of Agriculture, Economic Research Service.
    20. Dan Ben-David & Robin L. Lumsdaine & David H. Papell, 2003. "Unit roots, postwar slowdowns and long-run growth: Evidence from two structural breaks," Empirical Economics, Springer, vol. 28(2), pages 303-319, April.
    21. Russo, Carlo & Green, Richard D. & Howitt, Richard E., 2008. "Estimation Of Supply And Demand Elasticities Of California Commodities," Working Papers 37629, University of California, Davis, Department of Agricultural and Resource Economics.
    22. Trostle, Ronald, 2008. "Factors Contributing to Recent Increases in Food Commodity Prices (PowerPoint)," Seminars 43902, USDA Economists Group.
    23. Park, Timothy A., 1990. "Forecast Evaluation For Multivariate Time-Series Models: The U.S. Cattle Market," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(1), pages 1-11, July.
    24. Asim Ghosh, 1993. "Hedging with stock index futures: Estimation and forecasting with error correction model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(7), pages 743-752, October.
    25. Kumcu, Aylin & Okrent, Abigail M ., 2014. "Methodology for the Quarterly Food-Away-From-Home Prices Data," Technical Bulletins 184292, United States Department of Agriculture, Economic Research Service.
    26. Henry W. Kinnucan & Olan D. Forker, 1987. "Asymmetry in Farm-Retail Price Transmission for Major Dairy Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(2), pages 285-292.
    27. Granger, C W J & Lee, T H, 1989. "Investigation of Production, Sales and Inventory Relationships Using Multicointegration and Non-symmetric Error Correction Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 145-159, Supplemen.
    28. Ephraim Leibtag, 2009. "How Much and How Quick? Pass through of Commodity and Input Cost Changes to Retail Food Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1462-1467.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. McLaughlin, Patrick W. & Stevens, Alexander & Dong, Xiao & Chelius, Carolyn & Marchesi, Keenan & MacLachlan, Matthew, 2022. "COVID-19 Working Paper National Trends in Food Retail Sales During the COVID-19 Pandemic: Findings from information Resources, Inc. (IRI) Retail-Based Scanner Data," USDA Miscellaneous 333527, United States Department of Agriculture.
    2. Patricia Toledo & Roberto Duncan, 2024. "Forecasting food price inflation during global crises," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 1087-1113, July.

    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. Elena Claire Ricci & Massimo Peri & Lucia Baldi, 2019. "The Effects of Agricultural Price Instability on Vertical Price Transmission: A Study of the Wheat Chain in Italy," Agriculture, MDPI, vol. 9(2), pages 1-14, February.
    2. Guojun He & Jeffrey T. LaFrance & Jeffrey M. Perloff & Richard Volpe, 2024. "How do Everyday-Low-Price Supermarkets Adjust Their Prices?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 64(1), pages 117-146, February.
    3. Rosa, Franco & Vasciaveo, Michela & Weaver, Robert D., 2014. "Agricultural and oil commodities: price transmission and market integration between US and Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-25, August.
    4. Mohammad J Alam & Raghbendra Jha, 2016. "Asymmetric threshold vertical price transmission in wheat and flour markets in Dhaka (Bangladesh): seemingly unrelated regression analysis," ASARC Working Papers 2016-03, The Australian National University, Australia South Asia Research Centre.
    5. Daniele Cavicchioli, 2018. "Detecting Market Power Along Food Supply Chains: Evidence and Methodological Insights from the Fluid Milk Sector in Italy," Agriculture, MDPI, vol. 8(12), pages 1-22, December.
    6. Daniele CAVICCHIOLI, 2013. "Detecting market power along food supply chains: evidence from the fluid milk sector in Italy," Departmental Working Papers 2013-01, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano, revised 30 Jan 2013.
    7. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    8. Ankamah-Yeboah, Isaac, 2012. "Spatial Price Transmission in the Regional Maize Markets in Ghana," MPRA Paper 49720, University Library of Munich, Germany.
    9. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    10. Bagnai, Alberto & Mongeau Ospina, Christian Alexander, 2015. "Long- and short-run price asymmetries and hysteresis in the Italian gasoline market," Energy Policy, Elsevier, vol. 78(C), pages 41-50.
    11. Roeger, Edward & Leibtag, Ephraim S., 2011. "How Retail Beef and Bread Prices Respond to Changes in Ingredient and Input and Costs," Economic Research Report 102757, United States Department of Agriculture, Economic Research Service.
    12. Boetel, Brenda L. & Liu, Donald J., 2008. "Incorporating Structural Changes in Agricultural and Food Price Analysis: An Application to the U.S. Beef and Pork Sectors," Working Papers 44076, University of Minnesota, The Food Industry Center.
    13. Tarlok Singh, 2017. "Are Current Account Deficits in the OECD Countries Sustainable? Robust Evidence from Time-Series Estimators," The International Trade Journal, Taylor & Francis Journals, vol. 31(1), pages 29-64, January.
    14. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911, September.
    15. Leonardo Chaves Borges Cardoso & Maurício Vaz Lobo Bittencourt, 2016. "Price Volatility Transmission From Oil To Energy And Non-Energy Agricultural Commodities," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 181, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    16. Sun, Changyou, 2011. "Price dynamics in the import wooden bed market of the United States," Forest Policy and Economics, Elsevier, vol. 13(6), pages 479-487, July.
    17. Karantininis, Kostas & Katrakylidis, Kostas & Persson, Morten, 2011. "Price Transmission in the Swedish Pork Chain: Asymmetric non linear ARDL," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114772, European Association of Agricultural Economists.
    18. Carraro, Alessandro & Stefani, Gianluca, 2011. "Price Transmission in Three Italian Food Chains: A Structural Break Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114317, European Association of Agricultural Economists.
    19. Pozo, Veronica F. & Bachmeier, Lance J. & Schroeder, Ted C., 2021. "Are there price asymmetries in the U.S. beef market?," Journal of Commodity Markets, Elsevier, vol. 21(C).
    20. Ogundeji, A. & Mare, F.A., 2018. "Price Transmission in the Beef Value Chain – The Case of Bloemfontein, South Africa," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275930, International Association of Agricultural Economists.

    More about this item

    Keywords

    Demand and Price Analysis;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:uerstb:206500. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.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.