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Analysing farmland rental rates using Bayesian geoadditive quantile regression

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  • März, Alexander
  • Klein, Nadja
  • Kneib, Thomas
  • Mußhoff, Oliver

Abstract

Empirical studies on farmland rental rates have predominantly concentrated on modelling conditional means using spatial autoregressive models, where a linear functional form between the response and the covariates is usually assumed. However, if it is in fact non-linear, misspecifying the functional form can adversely affect inference. While mean regression models only allow limited insights into the way covariates influence the response, extending the analysis to the modelling of conditional quantiles can give a more detailed picture of the conditional distribution. Based on data from the German agricultural census, this article contributes to the agricultural literature by modelling conditional quantiles of farmland rental rates semi-parametrically using Bayesian geoadditive quantile regression models. The flexibility of this model class overcomes the problems associated with functional form misspecifications and allows us to present a more detailed analysis. Our results stress the importance of making use of semi-parametric regression models as several covariates influence farmland rental rates in an explicit non-linear way.

Suggested Citation

  • März, Alexander & Klein, Nadja & Kneib, Thomas & Mußhoff, Oliver, 2014. "Analysing farmland rental rates using Bayesian geoadditive quantile regression," DARE Discussion Papers 1403, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
  • Handle: RePEc:zbw:daredp:1403
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    Cited by:

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    2. Ngandu Balekelayi & Solomon Tesfamariam, 2020. "Geoadditive Quantile Regression Model for Sewer Pipes Deterioration Using Boosting Optimization Algorithm," Sustainability, MDPI, Open Access Journal, vol. 12(20), pages 1-24, October.
    3. Kualwik, Jacek, 2016. "Selected problems of farmland valuation and setting rents for its lease," Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej 252639, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    4. Kuethe, Todd H. & Bigelow, Daniel P., 2018. "Bargaining Power in Farmland Rental Markets," 2018 Annual Meeting, August 5-7, Washington, D.C. 274113, Agricultural and Applied Economics Association.
    5. Danne, Michael & Buchholz, Matthias & Musshoff, Oliver, 2019. "An experimental analysis of German farmers’ decisions to buy or rent farmland," 165th Seminar, April 4-5, 2019, Berlin, Germany 288295, European Association of Agricultural Economists.
    6. Cord-Friedrich von Hobe & Marius Michels & Oliver Musshoff, 2021. "German Farmers’ Perspectives on Price Drivers in Agricultural Land Rental Markets—A Combination of a Systematic Literature Review and Survey Results," Land, MDPI, Open Access Journal, vol. 10(2), pages 1-22, February.
    7. Hennig Solveigh & Breustedt Gunnar, 2018. "The Incidence of Agricultural Subsidies on Rental Rates for Grassland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(2), pages 125-156, April.

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