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Quantile Regression Of German Standard Farmland Values: Do The Impacts Of Determinants Vary Across The Conditional Distribution?

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  • LEHN, FRIEDERIKE
  • BAHRS, ENNO

Abstract

Because of considerably increased farmland prices, not only in Germany, the question arises whether farmland is still affordable for farmers. Hence, there is a call for price caps. If farmland prices are to be capped by political intervention, identifying the main farmland price determinants especially for the highest prices is essential. Using quantile regression for German standard farmland values, we find heterogeneous relationships across the estimated quantiles for several covariates. Nonagricultural factors are often more pronounced at the upper tail of the conditional distribution. We recommend focusing primarily on factors in the upper quantiles to prevent further farmland price increases.

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  • Lehn, Friederike & Bahrs, Enno, 2018. "Quantile Regression Of German Standard Farmland Values: Do The Impacts Of Determinants Vary Across The Conditional Distribution?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 50(4), pages 453-477, November.
    • Handle: RePEc:cup:jagaec:v:50:y:2018:i:04:p:453-477_00
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    Cited by:

    1. Bonanno, Alessandro & Bimbo, Francesco & Costanigro, Marco & VIscecchia, Rosaria, 2018. "Do Geographic Indication Labels Pay off? Estimating GI’s implicit Price Dispersion in the Italian EVOO Market," 2018 Annual Meeting, August 5-7, Washington, D.C. 274203, Agricultural and Applied Economics Association.
    2. Huijian Dong & Xiaomin Guo, 2020. "Population, Income, and Farmland Pricing in an Open Economy," IJFS, MDPI, vol. 8(4), pages 1-18, October.
    3. Ufuk Beyaztas & Han Lin Shang & Aylin Alin, 2022. "Function-on-Function Partial Quantile Regression," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(1), pages 149-174, March.
    4. Pei-Ing Wu & Ching-En Su & Je-Liang Liou & Ta-Ken Huang, 2023. "Evaluation of the Contribution of Farmland Attributes to the Total Benefit from Its Contamination Remediation: Evidence from Taiwan," Land, MDPI, vol. 12(5), pages 1-22, April.

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