Logo of Humboldt-Universität zu BerlinLogo of Humboldt-Universität zu Berlin
edoc-Server
Open-Access-Publikationsserver der Humboldt-Universität
de|en
Header image: facade of Humboldt-Universität zu Berlin
View Item 
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
  • FORLand Working Papers
  • View Item
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
  • FORLand Working Papers
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
View Item 
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
  • FORLand Working Papers
  • View Item
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
  • FORLand Working Papers
  • View Item
2020-01Diskussionspapier DOI: 10.18452/21043
A geoadditive distributional regression analysis of the local relationship of land prices and land rents in Germany
Schaak, Henning
Musshoff, Oliver cc
Lebenswissenschaftliche Fakultät
The analysis of sales prices and rents for agricultural land are a classical research topic in agricultural economics. Due to increased dynamic on agricultural land markets, their relationship has gained increased interest recently. The present study contributes to the literature by studying the district level heterogeneity of the rent-price-ratio (RPR) of agricultural land. This was achieved by modelling the full conditional distribution of the RPR, using a generalised additive model for location, shape and scale (GAMLSS). In order to choose an adequate model specification; a variable selection procedure is applied. The analysis utilised data from the German federal state Lower Saxony, containing all observable sales and rent price data. Shares of different field crops, livestock densities, shares of different farm types, and the concentration of land were found to influence the distribution of the RPR. Furthermore, differences in the distribution between arable land and grassland were found. By explicitly modelling and visually presenting spatial effects, additional insights into the spatial variation of the profitability of investments in farmland in Germany are provided. Thereby, conclusions regarding efficiency of land markets are possible.
Files in this item
Thumbnail
FORLand-2020-20.pdf — Adobe PDF — 1.114 Mb
MD5: 0be36c44017d0337d63353881bc59117
Cite
BibTeX
EndNote
RIS
(CC BY-NC-ND 3.0 DE) Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland(CC BY-NC-ND 3.0 DE) Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland(CC BY-NC-ND 3.0 DE) Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland(CC BY-NC-ND 3.0 DE) Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland
Details
DINI-Zertifikat 2019OpenAIRE validatedORCID Consortium
Imprint Policy Contact Data Privacy Statement
A service of University Library and Computer and Media Service
© Humboldt-Universität zu Berlin
 
DOI
10.18452/21043
Permanent URL
https://doi.org/10.18452/21043
HTML
<a href="https://doi.org/10.18452/21043">https://doi.org/10.18452/21043</a>