IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/310528.html

Improving ERS's Net Cash Income Forecasts using USDA Baseline Projections

Author

Listed:
  • Kuethe, Todd H.
  • Bora, Siddhartha
  • Katchova, Ani

Abstract

No abstract is available for this item.

Suggested Citation

  • Kuethe, Todd H. & Bora, Siddhartha & Katchova, Ani, 2022. "Improving ERS's Net Cash Income Forecasts using USDA Baseline Projections," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(2), May.
    • Handle: RePEc:ags:jlaare:310528
    DOI: 10.22004/ag.econ.310528
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/310528/files/JARE47.2.2%2CKuethe%2C246-261.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.310528?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. McVey, Marty J. & Baumel, C. Phillip & Wisner, Robert N., 2001. "Comparison Examines U.S. Grain Exoprt Projections from Large-Scale Agricultural Sector Models," Staff General Research Papers Archive 10325, Iowa State University, Department of Economics.
    2. McVey, Marty J. & Baumel, C. Phillip & Wisner, Robert N., 2001. "Comparison Examines U.S. Grain Export Projections From Large-Scale Agricultural Sector Models," Staff General Research Papers Archive 10519, Iowa State University, Department of Economics.
    3. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521632423, January.
    4. Lucier, Gary & Chesley, Agnes & Ahearn, Mary Clare, 1986. "Farm Income Data: A Historical Perspective," Statistical Bulletin 154593, United States Department of Agriculture, Economic Research Service.
    5. Baumel, C. Phillip, 2001. "How U.S. Grain Export Projections from Large Scale Agricultural Sector Models Compare with Reality," Staff General Research Papers Archive 11911, Iowa State University, Department of Economics.
    6. Todd Kuethe & Mitch Morehart, 2012. "The Agricultural Resource Management Survey," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(2), pages 191-200, July.
    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. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2023. "The accuracy and informativeness of agricultural baselines," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1116-1148, August.
    2. Kuethe, Todd H. & Regmi, Hari, 2023. "An Evaluation of Congressional Budget Office’s Baseline Projections of USDA Mandatory Farm and Nutrition Programs," 2023 Annual Meeting, July 23-25, Washington D.C. 335690, Agricultural and Applied Economics Association.
    3. repec:ags:aaea22:335690 is not listed 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. Camille Logeay & Sven Schreiber, 2006. "Testing the effectiveness of the French work-sharing reform: a forecasting approach," Applied Economics, Taylor & Francis Journals, vol. 38(17), pages 2053-2068.
    2. Becker, Ralf & Clements, Adam E., 2008. "Are combination forecasts of S&P 500 volatility statistically superior?," International Journal of Forecasting, Elsevier, vol. 24(1), pages 122-133.
    3. repec:mbr:jmonec:v:7:y:2012:i:1:p:87-118 is not listed on IDEAS
    4. Lindh, Thomas & Malmberg, Bo, 2007. "Demographically based global income forecasts up to the year 2050," International Journal of Forecasting, Elsevier, vol. 23(4), pages 553-567.
    5. Franses, Ph.H.B.F. & Kranendonk, H.C. & Lanser, D., 2007. "On the optimality of expert-adjusted forecasts," Econometric Institute Research Papers EI 2007-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Flouris, Triant & Walker, Thomas, 2005. "Financial Comparisons Across Different Business Models in the Canadian Airline Industry," 46th Annual Transportation Research Forum, Washington, D.C., March 6-8, 2005 208157, Transportation Research Forum.
    7. Eva Haslauer & Markus Biberacher & Thomas Blaschke, 2016. "A spatially explicit backcasting approach for sustainable land-use planning," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(5), pages 866-890, May.
    8. Athanasia Gavala & Nikolay Gospodinov & Deming Jiang, 2006. "Forecasting volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 381-400.
    9. Ard H.J. den Reijer, 2005. "Forecasting Dutch GDP using Large Scale Factor Models," DNB Working Papers 028, Netherlands Central Bank, Research Department.
    10. Daberkow, Stan, 1987. "Agricultural Input Industry Indicators in 1974-85: Expansion and Contraction," Agricultural Information Bulletins 309404, United States Department of Agriculture, Economic Research Service.
    11. Seitz, Franz & Baumann, Ursel & Albuquerque, Bruno, 2015. "The information content of money and credit for US activity," Working Paper Series 1803, European Central Bank.
    12. Goodness C. Aye & Stephen M. Miller & Rangan Gupta & Mehmet Balcilar, 2016. "Forecasting US real private residential fixed investment using a large number of predictors," Empirical Economics, Springer, vol. 51(4), pages 1557-1580, December.
    13. Wolfgang Polasek, 2013. "Forecast Evaluations for Multiple Time Series: A Generalized Theil Decomposition," Working Paper series 23_13, Rimini Centre for Economic Analysis.
    14. Pesaran, M.H. & Pick, A. & Timmermann, A., 2009. "Variable Selection and Inference for Multi-period Forecasting Problems," Cambridge Working Papers in Economics 0901, Faculty of Economics, University of Cambridge.
    15. repec:hal:journl:hal-00921283 is not listed on IDEAS
    16. Alahverdi, Atefe & Daei-Karimzadeh, Saeed & Ghobadi, Sara, 2023. "Forecasting the Trend of Macroeconomic Variables in Terms of Financial Conditions Index in Iran: TVP-FAVAR Approach (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی و بودجه), Institute for Management and Planning studies, vol. 28(3), pages 161-185, December.
    17. Ali Dib & Mohamed Gammoudi & Kevin Moran, 2008. "Forecasting Canadian time series with the New Keynesian model," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(1), pages 138-165, February.
    18. Castle Jennifer L. & Doornik Jurgen A & Hendry David F., 2011. "Evaluating Automatic Model Selection," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-33, February.
    19. Costantini, Mauro & Pappalardo, Carmine, 2010. "A hierarchical procedure for the combination of forecasts," International Journal of Forecasting, Elsevier, vol. 26(4), pages 725-743, October.
    20. Costas Anyfantakis & Guglielmo Maria Caporale & Nikitas Pittis, 2008. "Parameter instability and forecasting performance: a Monte Carlo study," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 1(1), pages 1-20.
    21. repec:onb:oenbwp:y::i:73:b:1 is not listed on IDEAS
    22. Pao, H.T., 2009. "Forecasting energy consumption in Taiwan using hybrid nonlinear models," Energy, Elsevier, vol. 34(10), pages 1438-1446.
    23. Massimo Guidolin, 2011. "Markov Switching Models in Empirical Finance," Advances in Econometrics, in: Missing Data Methods: Time-Series Methods and Applications, pages 1-86, Emerald Group Publishing Limited.

    More about this item

    Keywords

    ;
    ;

    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:jlaare:310528. 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/waeaaea.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.