Analysing farmland rental rates using Bayesian geoadditive quantile regression
| dc.creator | März, Alexander | |
| dc.creator | Klein, Nadja | |
| dc.creator | Kneib, Thomas | |
| dc.creator | Musshoff, Oliver | |
| dc.date | 2017-04-01T16:49:07Z | |
| dc.date.accessioned | 2026-07-09T08:19:40Z | |
| dc.description | 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. | |
| dc.identifier | doi:10.22004/ag.econ.182752 | |
| dc.identifier | https://ageconsearch.umn.edu/record/182752/files/Maerz-Analysing_farmland_rental_rates_using_Bayesian_geoadditive_quantile_regression-335_a.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/182752 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/597906 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/182752 | |
| dc.title | Analysing farmland rental rates using Bayesian geoadditive quantile regression | |
| dc.type | Text |