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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 be- tween the response and the covariates is assumed. This paper extends the hedonic pricing 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 ex- plicit non-linear way.

Suggested Citation

  • März, Alexander & Klein, Nadja & Kneib, Thomas & Musshoff, Oliver, 2014. "Analysing farmland rental rates using Bayesian geoadditive quantile regression," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182752, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae14:182752
    DOI: 10.22004/ag.econ.182752
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    Cited by:

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    2. Junpyo Park, 2022. "Distance to Biorefinery Plants and Its Influence on Agricultural Land Value: Evidence from the United States Midwest Region," Land, MDPI, vol. 11(9), pages 1-14, September.
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    4. Johanna Choumert & Pascale Phelinas, 2015. "Farmland Rental Values in GM Soybean Areas of Argentina: Do Contractual Arrangements Matter?," Working Papers halshs-01237771, HAL.
    5. Henning Schaak & Oliver Musshoff, 2022. "The distribution of the rent–price relationship of agricultural land in Germany," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(3), pages 696-718.
    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, vol. 10(2), pages 1-22, February.
    7. Ngandu Balekelayi & Solomon Tesfamariam, 2020. "Geoadditive Quantile Regression Model for Sewer Pipes Deterioration Using Boosting Optimization Algorithm," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    8. 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).
    9. 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.
    10. Ivan Jeliazkov & Shubham Karnawat & Mohammad Arshad Rahman & Angela Vossmeyer, 2023. "Flexible Bayesian Quantile Analysis of Residential Rental Rates," Papers 2305.13687, arXiv.org, revised Sep 2023.
    11. 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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