IDEAS home Printed from https://ideas.repec.org/p/ags/uerser/307297.html
   My bibliography  Save this paper

The Effect of Weather and Technology on Corn Yields in the Corn Belt, 1929-62

Author

Listed:
  • Shaw, Lawrence H.
  • Durost, Donald D.

Abstract

Excerpts from the report Summary: Recent increases in agricultural output have prompted agricultural researchers to investigate the roles of weather and technology in crop yields. This study assesses the relative effect of each on corn yields in the Corn Belt between 1929 and 1962. Weather indexes were constructed for all States of the Corn Belt and the Corn Belt as a whole. These measures were constructed from corn variety test data, and were used to adjust yield and output series for the influence of weather by a simple deflation process. State indexes were developed by aggregating weather indexes for individual locations. When the weather index is used to deflate the effect of weather on yields, the actual yield series may be adjusted to show the technological yield trend without the effects of weather. Variation in the adjusted yield series is an estimate of the effect of changes in technology. The weather index was also used to facilitate the analysis of the distribution of weather effects and the effect that improved technology has had in reducing fluctuations due to weather.

Suggested Citation

  • Shaw, Lawrence H. & Durost, Donald D., 1965. "The Effect of Weather and Technology on Corn Yields in the Corn Belt, 1929-62," Agricultural Economic Reports 307297, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uerser:307297
    DOI: 10.22004/ag.econ.307297
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/307297/files/aer80.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.307297?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. W. A. Cromarty, 1961. "Free Market Price Projections Bases on a Formal Econometric Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 43(2), pages 365-378.
    2. Lawrence H. Shaw, 1964. "The Effect of Weather on Agricultural Output: A Look at Methodology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(1), pages 218-230.
    3. Milton Friedman, 1962. "Introduction to "The Interpolation of Time Series by Related Series"," NBER Chapters, in: The Interpolation of Time Series by Related Series, pages 1-3, National Bureau of Economic Research, Inc.
    4. Milton Friedman, 1962. "The Interpolation of Time Series by Related Series," NBER Books, National Bureau of Economic Research, Inc, number frie62-1, May.
    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. Richard C. Sutch, 2008. "Henry Agard Wallace, The Iowa Corn Yield Tests, And The Adoption Of Hybrid Corn," Working Papers 200807, University of California at Riverside, Department of Economics, revised Jun 2008.
    2. Richard C. Sutch, 2008. "Henry Agard Wallace, the Iowa Corn Yield Tests, and the Adoption of Hybrid Corn," NBER Working Papers 14141, National Bureau of Economic Research, Inc.
    3. Richard Sutch, 2011. "The Impact of the 1936 Corn Belt Drought on American Farmers' Adoption of Hybrid Corn," NBER Chapters, in: The Economics of Climate Change: Adaptations Past and Present, pages 195-223, National Bureau of Economic Research, Inc.
    4. Ibach, D. B., 1966. "Fertilizer Use in the United States: Its Economic Position and Outlook," Agricultural Economic Reports 307304, United States Department of Agriculture, Economic Research Service.
    5. Geigel, Joanne M. & Sundquist, W. Burt, 1984. "A Review And Evaluation Of Weather-Crop Yield Models," Staff Papers 13699, University of Minnesota, Department of Applied Economics.
    6. Richard Sutch, 2010. "The Impact of the 1936 Corn-Belt Drought on American Farmers’ Adoption of Hybrid Corn," Working Papers 201002, University of California at Riverside, Department of Economics, revised Jan 2010.

    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. Fullerton, Thomas M. & Jiménez, Alan A. & Walke, Adam G., 2015. "An econometric analysis of retail gasoline prices in a border metropolitan economy," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 450-461.
    2. Jonathan Eaton & Samuel Kortum & Brent Neiman & John Romalis, 2016. "Trade and the Global Recession," American Economic Review, American Economic Association, vol. 106(11), pages 3401-3438, November.
    3. Barnett, William A. & Su, Liting, 2017. "Data sources for the credit-card augmented Divisia monetary aggregates," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 899-910.
    4. Zadrozny, Peter A., 2016. "Extended Yule–Walker identification of VARMA models with single- or mixed-frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 438-446.
    5. de Haen, H. & von Braun, J., 1977. "Regionale Veränderungen des Arbeitseinsatzes in der Landwirtschaft – Demographische Analyse und arbeitsmarktpolitische Schlussfolgerungen," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 14.
    6. Alvaredo, Facundo & Atkinson, Anthony B. & Morelli, Salvatore, 2018. "Top wealth shares in the UK over more than a century," Journal of Public Economics, Elsevier, vol. 162(C), pages 26-47.
    7. Thomas M. FULLERTON & Miguel MARTINEZ & Wm. Doyle SMITH & Adam WALKE, 2015. "Inflationary Dynamics in Guatemala," Journal of Economics and Political Economy, KSP Journals, vol. 2(4), pages 436-444, December.
    8. Sang T. Truong & Humberto Barreto, 2023. "Teaching Income Inequality with Data-Driven Visualization," The American Economist, Sage Publications, vol. 68(1), pages 140-155, March.
    9. Peter Fuleky & Carl S. Bonham, 2013. "Forecasting with Mixed Frequency Samples: The Case of Common Trends," Working Papers 201316, University of Hawaii at Manoa, Department of Economics.
    10. Yu Jin & Wallace E. Huffman, 2016. "Measuring public agricultural research and extension and estimating their impacts on agricultural productivity: new insights from U.S. evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 15-31, January.
    11. De Vita, G. & Endresen, K. & Hunt, L.C., 2006. "An empirical analysis of energy demand in Namibia," Energy Policy, Elsevier, vol. 34(18), pages 3447-3463, December.
    12. T. M. Fullerton & A. G. Walke, 2013. "Public transportation demand in a border metropolitan economy," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3922-3931, September.
    13. Bernardí Cabred & Jose Pavía, 1999. "EstimatingJ (>1) quarterly time series in fulfilling annual and quarterly constraints," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(3), pages 339-349, August.
    14. Eric Ghysels & J. Isaac Miller, 2015. "Testing for Cointegration with Temporally Aggregated and Mixed-Frequency Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(6), pages 797-816, November.
    15. Fullerton, Thomas M. Jr & Walke, Adam G., 2012. "Border Zone Mass Transit Demand in Brownsville and Laredo," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(2).
    16. Wolfgang Polasek & Richard Sellner, 2008. "Spatial Chow-Lin Methods: Bayesian And Ml Forecast Comparisons," Working Paper series 38_08, Rimini Centre for Economic Analysis.
    17. J. Isaac Miller, 2010. "Cointegrating regressions with messy regressors and an application to mixed‐frequency series," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(4), pages 255-277, July.
    18. Huang, Yu-Lieh, 2012. "Measuring business cycles: A temporal disaggregation model with regime switching," Economic Modelling, Elsevier, vol. 29(2), pages 283-290.
    19. Rashid, Abdul & Jehan, Zanaib, 2013. "Derivation of Quarterly GDP, Investment Spending, and Government Expenditure Figures from Annual Data: The Case of Pakistan," MPRA Paper 46937, University Library of Munich, Germany.
    20. Thomas Fullerton & Adam Walke, 2014. "Homicides, exchange rates, and northern border retail activity in Mexico," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(3), pages 631-647, November.

    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:uerser:307297. 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.