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Erschienen in: The Annals of Regional Science 1/2017

08.12.2016 | Original Paper

A continuous spatio-temporal model for house prices in the USA

verfasst von: Márcio Poletti Laurini

Erschienen in: The Annals of Regional Science | Ausgabe 1/2017

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Abstract

We revisit the studies on the evolution of house prices in the USA using a spatio-temporal model estimated using a Bayesian method. This method introduces a new specification of an error correction model with random effects measured continuously in space. This model allows observing the deviations from the co-integration relationship in each analyzed location and a clearer interpretation of the house price dynamics between 1975 and 2011 for 381 metropolitan areas in the USA. The results indicate the presence of a housing price cycle, consistent with the patterns observed in the analyzed period.

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Fußnoten
1
This dataset is available in http://​onlinelibrary.​wiley.​com/​doi/​10.​1002/​jae.​2372/​suppinfo, and additional details on the database construction can be found in Baltagi and Li (2014).
 
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Metadaten
Titel
A continuous spatio-temporal model for house prices in the USA
verfasst von
Márcio Poletti Laurini
Publikationsdatum
08.12.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
The Annals of Regional Science / Ausgabe 1/2017
Print ISSN: 0570-1864
Elektronische ISSN: 1432-0592
DOI
https://doi.org/10.1007/s00168-016-0801-6

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