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The Use of Nonstationary Panel Time Series Data in the Analysis of Farmland Values

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  • Onel, Gulcan

Abstract

Time-series methods based on panel data are used to increase the power of conventional econometric tests of present value models commonly applied to studies of asset valuation. A second contribution is to allow for the presence of frictions in farmland markets by allowing for threshold nonlinearities in the empirical model. Using countylevel data on Iowa farmland prices and cash rental rates between 1987 and 2010, panel data unit root models that allow for switching-regimes provide evidence in favor of the present value models. In one regime, where a threshold in the spread between rents and values is yet to be reached, deviations are persistent and contribute to drive land prices away from their intrinsic values. Conversely, the other regime is characterized by strong mean reversion in which market valuation becomes closer to fundamental determinants of values.

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  • Onel, Gulcan, 2012. "The Use of Nonstationary Panel Time Series Data in the Analysis of Farmland Values," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124893, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea12:124893
    DOI: 10.22004/ag.econ.124893
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    1. Frederic Bec & Melika Ben Salem & Marine Carrasco, 2004. "Tests for Unit-Root versus Threshold Specification With an Application to the Purchasing Power Parity Relationship," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 382-395, October.
    2. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    3. Kapetanios, George & Shin, Yongcheol & Snell, Andy, 2003. "Testing for a unit root in the nonlinear STAR framework," Journal of Econometrics, Elsevier, vol. 112(2), pages 359-379, February.
    4. Sergio H. Lence, 2001. "Farmland Prices in the Presence of Transaction Costs: A Cautionary Note," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 985-992.
    5. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    6. Fontnouvelle, P. de & Lence, Sergio H., 2002. "Transaction Costs and the Present Value," Staff General Research Papers Archive 5263, Iowa State University, Department of Economics.
    7. Barry Falk & Bong-Soo Lee, 1998. "Fads versus Fundamentals in Farmland Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(4), pages 696-707.
    8. Luciano Gutierrez & Joakim Westerlund & Kenneth Erickson, 2007. "Farmland prices, structural breaks and panel data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 34(2), pages 161-179, June.
    9. George Kapetanios & Yongcheol Shin, 2006. "Unit root tests in three-regime SETAR models," Econometrics Journal, Royal Economic Society, vol. 9(2), pages 252-278, July.
    10. 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.
    11. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    12. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    13. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    14. Tom Engsted, 1998. "Do farmland prices reflect rationally expected future rents?," Applied Economics Letters, Taylor & Francis Journals, vol. 5(2), pages 75-79.
    15. J. Stephen Clark & Murray Fulton & John T. Scott, 1993. "The Inconsistency of Land Values, Land Rents, and Capitalization Formulas," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 147-155.
    16. 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.
    17. Jean-Paul Chavas & Alban Thomas, 1999. "A Dynamic Analysis of Land Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 772-784.
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    Keywords

    Agricultural Finance; Land Economics/Use;

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