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Analysing farmland rental rates using Bayesian geoadditive quantile regression
März, Alexander; Klein, Nadja; Kneib, Thomas; … - 2014
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...
Persistent link: https://www.econbiz.de/10010332601
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Analysing farmland rental rates using Bayesian geoadditive quantile regression
März, Alexander; Klein, Nadja; Kneib, Thomas; … - 2014 - This version: February 14, 2014
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...
Persistent link: https://www.econbiz.de/10010242847
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Geoadditive expectile regression
Sobotka, Fabian; Kneib, Thomas - In: Computational Statistics & Data Analysis 56 (2012) 4, pp. 755-767
asymmetrically weighted squares, boosting and restricted expectile regression. The properties of these procedures are investigated in …
Persistent link: https://www.econbiz.de/10010574456
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Analysing farmland rental rates using Bayesian geoadditive quantile regression
März, Alexander; Klein, Nadja; Kneib, Thomas; … - Institut für Agrarökonomie, Georg-August-Universität … - 2014
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...
Persistent link: https://www.econbiz.de/10010981864