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Information Rigidities and Farmland Value Expectations

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  • Fiechter, Chad
  • Kuethe, Todd
  • Zhang, Wendong

Abstract

The rational expectation hypothesis posits that agents use all information efficiently in forming expectations. In farmland value expectations the hypothesis of efficient incorporation of information has been rejected. Traditionally, a rejection of rationality implies agents are irrational. However, models of information rigidity, like the Sticky and Noisy Information Models, suggest that a rational agent may face challenges in incorporating all information efficiently. We find evidence of information rigidities in the expectations of Iowa farmland values from 1964 - 2021. We also find that information rigidities do not fully explain rejections of rationality, and that the degree of information rigidity is heterogeneous for various geographic regions and during periods of high and low interest rate volatility.

Suggested Citation

  • Fiechter, Chad & Kuethe, Todd & Zhang, Wendong, 2023. "Information Rigidities and Farmland Value Expectations," ISU General Staff Papers 202306131414240000, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:202306131414240000
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    1. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar, 2018. "How Do Firms Form Their Expectations? New Survey Evidence," American Economic Review, American Economic Association, vol. 108(9), pages 2671-2713, September.
    2. Richard E. Just & John A. Miranowski, 1993. "Understanding Farmland Price Changes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 156-168.
    3. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    4. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    5. Jeremy G. Weber & Nigel Key, 2015. "Leveraging Wealth from Farmland Appreciation: Borrowing, Land Ownership, and Farm Expansion," Land Economics, University of Wisconsin Press, vol. 91(2), pages 344-361.
    6. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    7. Lusk, Jayson L., 2016. "From Farm Income to Food Consumption: Valuing USDA Data Products," C-FARE Reports 266593, Council on Food, Agricultural, and Resource Economics (C-FARE).
    8. Martin Feldstein, 1983. "Inflation, Portfolio Choice, and Prices of Land and Corporate Stock," NBER Chapters, in: Inflation, Tax Rules, and Capital Formation, pages 229-242, National Bureau of Economic Research, Inc.
    9. N. Gregory Mankiw & Ricardo Reis, 2007. "Sticky Information in General Equilibrium," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 603-613, 04-05.
    10. Olga Isengildina & Scott H. Irwin & Darrel L. Good, 2006. "Are Revisions to USDA Crop Production Forecasts Smoothed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1091-1104.
    11. Tegene, Abebayehu & Kuchler, Frederick R, 1991. "A Description of Farmland Investor Expectations," The Journal of Real Estate Finance and Economics, Springer, vol. 4(3), pages 283-296, September.
    12. Xavier Gabaix, 2020. "A Behavioral New Keynesian Model," American Economic Review, American Economic Association, vol. 110(8), pages 2271-2327, August.
    13. Benoît A. Delbecq & Todd H. Kuethe & Allison M. Borchers, 2014. "Identifying the Extent of the Urban Fringe and Its Impact on Agricultural Land Values," Land Economics, University of Wisconsin Press, vol. 90(4), pages 587-600.
    14. Julian M. Alston, 1986. "An Analysis of Growth of U.S. Farmland Prices, 1963–82," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(1), pages 1-9.
    15. Barry Falk, 1991. "Formally Testing the Present Value Model of Farmland Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(1), pages 1-10.
    16. Olivier Coibion & Yuriy Gorodnichenko & Tiziano Ropele, 2020. "Inflation Expectations and Firm Decisions: New Causal Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 165-219.
    17. Allison Borchers & Jennifer Ifft & Todd Kuethe, 2014. "Linking the Price of Agricultural Land to Use Values and Amenities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1307-1320.
    18. Todd H Kuethe & David Oppedahl, 2021. "Agricultural bankers’ farmland price expectations," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(1), pages 42-59.
    19. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    20. Capistrán, Carlos & Timmermann, Allan, 2009. "Forecast Combination With Entry and Exit of Experts," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 428-440.
    21. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
    22. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2017. "Inflation Expectations, Learning, and Supermarket Prices: Evidence from Survey Experiments," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 1-35, July.
    23. John Geanakoplos, 2009. "The Leverage Cycle," Cowles Foundation Discussion Papers 1715R, Cowles Foundation for Research in Economics, Yale University, revised Jan 2010.
    24. Olga Isengildina-Massa & Berna Karali & Scott H Irwin, 2017. "Do Markets Correct for Smoothing in USDA Crop Production Forecasts? Evidence from Private Analysts and Futures Prices," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 559-583.
    25. Brian C. Briggeman & Michael A. Gunderson & Brent A. Gloy, 2009. "The Financial Health of Agricultural Lenders," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1406-1413.
    26. Falk, Barry L., 1991. "Formally Testing the Present Value Model of Farmland Prices," Staff General Research Papers Archive 11093, Iowa State University, Department of Economics.
    27. Raffaella Giacomini & Vasiliki Skreta & Javier Turen, 2020. "Heterogeneity, Inattention, and Bayesian Updates," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 282-309, January.
    28. Nerlove, Marc & Bessler, David A., 2001. "Expectations, information and dynamics," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 3, pages 155-206, Elsevier.
    29. Olivier Coibion & Yuriy Gorodnichenko & Edward S. Knotek & Raphael Schoenle, 2023. "Average Inflation Targeting and Household Expectations," Journal of Political Economy Macroeconomics, University of Chicago Press, vol. 1(2), pages 403-446.
    30. Olivier Coibion & Yuriy Gorodnichenko & Rupal Kamdar, 2018. "The Formation of Expectations, Inflation, and the Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1447-1491, December.
    31. Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2013. "Do Big Crops Get Bigger and Small Crops Get Smaller? Further Evidence on Smoothing in U.S. Department of Agriculture Forecasts," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(1), pages 1-13, February.
    32. Michael Woodford, 2001. "Imperfect Common Knowledge and the Effects of Monetary Policy," NBER Working Papers 8673, National Bureau of Economic Research, Inc.
    33. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    34. Kuethe, Todd H. & Hubbs, Todd, 2017. "Bankers’ Forecasts Of Farmland Values: A Qualitative And Quantitative Evaluation," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 49(4), pages 617-633, November.
    35. Scott H. Irwin & Cameron S. Thraen, 1994. "Rational Expectations in Agriculture? A Review of the Issues and the Evidence," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 16(1), pages 133-158.
    36. Francis X. Diebold & Jose A. Lopez, 1995. "Forecast evaluation and combination," Research Paper 9525, Federal Reserve Bank of New York.
    37. Oscar R. Burt, 1986. "Econometric Modeling of the Capitalization Formula for Farmland Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(1), pages 10-26.
    38. Holt, Matthew T & Johnson, Stanley R, 1989. "Bounded Price Variation and Rational Expectations in an Endogenous Switching Model of the U.S. Corn Market," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 605-613, November.
    39. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.
    40. John Geanakoplos, 2010. "The Leverage Cycle," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 1-65, National Bureau of Economic Research, Inc.
    41. Miranowski, John & Hammes, B., 1984. "Implicit Prices of Soil Characteristics for Farmland in Iowa," Staff General Research Papers Archive 10706, Iowa State University, Department of Economics.
    42. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    43. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    44. Sims, Christopher A., 2010. "Rational Inattention and Monetary Economics," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 4, pages 155-181, Elsevier.
    45. Charles B. Moss, 1997. "Returns, Interest Rates, and Inflation: How They Explain Changes in Farmland Values," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1311-1318.
    46. Allen M. Featherstone & Timothy G. Baker, 1987. "An Examination of Farm Sector Real Asset Dynamics: 1910–85," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(3), pages 532-546.
    47. John A. Miranowski & Brian D. Hammes, 1984. "Implicit Prices of Soil Characteristics for Farmland in Iowa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(5), pages 745-749.
    48. Briggeman, Brian C. & Gunderson, Michael A. & Gloy, Brent A., 2009. "AJAE appendix for “The Financial Health of Agricultural Lenders”," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(5), pages 1-7, August.
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