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
This paper compares the performance of econometric land-use models based on three proxies for agricu...
This article is motivated by the limited ability of standard hedonic price equations to deal with sp...
Abstract: Quantile regression provides a convenient framework for analyzing the impact of covari-ate...
Empirical studies on farmland rental rates have predominantly concentrated on modelling conditional ...
The development of models that go beyond traditional linear regression has been a topic of great int...
Since 1973, British Columbia created an Agricultural Land Reserve to protect farmland from developme...
Abstract Land price studies typically employ hedonic analysis to identify the impact of land charact...
In 1973, British Columbia created the Agricultural Land Reserve (ALR) to protect farmland from devel...
The objective of this study is to estimate the impact of natural amenity on farmland values in the c...
Although accounting for the spatial - temporal relationships in farmland valuation has gained attent...
Rural land valuation plays an important role in the development of land use policies for agricultura...
Trade-offs arise between spatial dependence and choice of functional form in agricultural land price...
We examine several determinants of farmland values in the Campine region (Belgium) using data on ind...
We compare Least Squares, Maximum Likelihood and Bayesian approaches to estimation in a Hedonic cont...
Quantile regression provides a convenient framework for analyzing the impact of covariates on the co...
This paper compares the performance of econometric land-use models based on three proxies for agricu...
This article is motivated by the limited ability of standard hedonic price equations to deal with sp...
Abstract: Quantile regression provides a convenient framework for analyzing the impact of covari-ate...
Empirical studies on farmland rental rates have predominantly concentrated on modelling conditional ...
The development of models that go beyond traditional linear regression has been a topic of great int...
Since 1973, British Columbia created an Agricultural Land Reserve to protect farmland from developme...
Abstract Land price studies typically employ hedonic analysis to identify the impact of land charact...
In 1973, British Columbia created the Agricultural Land Reserve (ALR) to protect farmland from devel...
The objective of this study is to estimate the impact of natural amenity on farmland values in the c...
Although accounting for the spatial - temporal relationships in farmland valuation has gained attent...
Rural land valuation plays an important role in the development of land use policies for agricultura...
Trade-offs arise between spatial dependence and choice of functional form in agricultural land price...
We examine several determinants of farmland values in the Campine region (Belgium) using data on ind...
We compare Least Squares, Maximum Likelihood and Bayesian approaches to estimation in a Hedonic cont...
Quantile regression provides a convenient framework for analyzing the impact of covariates on the co...
This paper compares the performance of econometric land-use models based on three proxies for agricu...
This article is motivated by the limited ability of standard hedonic price equations to deal with sp...
Abstract: Quantile regression provides a convenient framework for analyzing the impact of covari-ate...