2019
DOI: 10.1080/00036846.2019.1673299
|View full text |Cite
|
Sign up to set email alerts
|

Land price diffusion across borders – the case of Germany

Abstract: Land market regulations are often justified by the assumption that activities of foreign and nonagricultural investors drive up prices in domestic land markets. However, empirical knowledge about the dynamics of agricultural land prices across borders is sparse. Using the German reunification as a natural experiment, we study the effect of the former inner German border on the dynamics of agricultural land prices in East and West Germany. We apply a land price diffusion model with an error correction specifica… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
5
0
1

Year Published

2021
2021
2023
2023

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 10 publications
(7 citation statements)
references
References 17 publications
0
5
0
1
Order By: Relevance
“…In addition, spatial econometrics has recently been successfully combined with other econometric tools, resulting in models with a high degree of sophistication and complexity. Two main trends stand out in this process: (i) the incorporation of quantile methods that allow analysing the detailed contributions of different determinants via the conditional distribution of land prices (Kostov, 2009a;Lehn & Bahrs, 2018b;Sardaro et al, 2021), with the possibility of incorporating even machine learning elements into such models (Córdoba et al, 2021); and (ii) the combination of spatial econometrics with time series econometrics in studies that have focused on the evaluation of the spatiotemporal integration of land markets (Carmona & Rosés, 2012;Yang et al, 2017Yang et al, , 2019Grau et al, 2020).…”
Section: Theoretical Parameters: the Spatial Dimension Of Land Pricesmentioning
confidence: 99%
“…In addition, spatial econometrics has recently been successfully combined with other econometric tools, resulting in models with a high degree of sophistication and complexity. Two main trends stand out in this process: (i) the incorporation of quantile methods that allow analysing the detailed contributions of different determinants via the conditional distribution of land prices (Kostov, 2009a;Lehn & Bahrs, 2018b;Sardaro et al, 2021), with the possibility of incorporating even machine learning elements into such models (Córdoba et al, 2021); and (ii) the combination of spatial econometrics with time series econometrics in studies that have focused on the evaluation of the spatiotemporal integration of land markets (Carmona & Rosés, 2012;Yang et al, 2017Yang et al, , 2019Grau et al, 2020).…”
Section: Theoretical Parameters: the Spatial Dimension Of Land Pricesmentioning
confidence: 99%
“…Além disso, recentemente, a econometria espacial também vem sendo combinada com sucesso com outras ferramentas econométricas, resultando em modelos de alto grau de sofisticação e complexidade. Duas tendências principais se destacam nesse processo: (i) a incorporação de métodos quantílicos, que permitem analisar a contribuição detalhada de diferentes determinantes ao longo da distribuição condicional dos preços da terra (Kostov, 2009a;Lehn & Bahrs, 2018b;Sardaro et al, 2021), com a possibilidade de incorporar, até mesmo, elementos de aprendizagem de máquinas aos modelos (Córdoba et al, 2021); e (ii) a combinação da econometria espacial com a econometria de séries temporais, cujos trabalhos têm se focado na avaliação da integração espaço-temporal dos mercados de terra (Carmona & Rosés, 2012;Yang et al, 2017Yang et al, , 2019Grau et al, 2020).…”
Section: Parâmetros Teóricos -A Dimensão Espacial Dos Preços Da Terraunclassified
“…Before applying the model, we conduct a hedonic regression to adjust the transaction prices to the same overall soil quality and plot size (Yang et al , 2019; Grau et al , 2020). With land being a heterogeneous good, differences in soil quality and plot size between the transactions need to be accounted for when deriving yearly averaged log prices pi,t for the panel.…”
Section: Empirical Analysismentioning
confidence: 99%