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The Present Value Model, Farmland Prices and Structural Breaks Author info | Abstract | Publisher info | Download info | Related research | Statistics Gutierrez, Luciano
Erickson, Kenneth
Westerlund, Joakim
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We review the constant discount rate present value model of farmland prices using non-stationary panel data analysis. We use panel unit root and cointegration analysis to test if the present value model holds for a sample of 31 U.S. States covering the period 1960-2000. Preliminary results indicate that farmland prices and cash rents are non-stationary and non-cointegrated assuming a constant discount rate. The absence of cointegration may be due to the presence of a regime shift representing a time-varying discount rate. To accommodate this possibility, we introduce new panel cointegration tests that allow for unknown regime shifts in the cointegration relationship. The results suggest that the cointegration hypothesis cannot be rejected if there is a regime shift. Thus, while the present value model of farmland prices must be rejected when the discount rate is presumed constant, it cannot be rejected once we allow for regime shifts representing a time-varying discount rate.
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Paper provided by European Association of Agricultural Economists in its series 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark with number
24702.
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Date of creation: 2005Date of revision:
Handle: RePEc:ags:eaae05:24702Contact details of provider: Email: Web page: http://www.eaae.org More information through EDIRC
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Keywords: farmland prices ; present value model ; non-stationary panel data analysis ; regime shift ; Q24 ; Land Economics/Use ; C22 ; C23 ; G12 ; References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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9552, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
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Choi, In, 2001.
"Unit root tests for panel data ,"
Journal of International Money and Finance ,
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Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models ,"
Econometrica ,
Econometric Society, vol. 70(1), pages 191-221, January.
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