کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5103688 | 1480529 | 2017 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach
ترجمه فارسی عنوان
تشخیص قیمت های خانه های فضایی و زمانی در هلند: رویکرد شبکه ای بیزی
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
اقتصاد، اقتصادسنجی و امور مالی
اقتصاد و اقتصادسنجی
چکیده انگلیسی
Following the 2007-08 Global Financial Crisis, there has been a growing research interest on the spatial interrelationships between house prices in many countries. This paper examines the spatio-temporal relationship between house prices in the twelve provinces of the Netherlands using a recently proposed econometric modelling technique called the Bayesian Graphical Vector Autoregression (BG-VAR). This network approach is suitable for analysing the complex spatial interactions between house prices. It enables a data-driven identification of the most dominant provinces where temporal house price shocks may largely diffuse through the housing market. Using temporal house price volatilities for owner-occupied dwellings from 1995Q1 to 2016Q1, the results show evidence of temporal dependence and house price diffusion patterns in distinct sub-periods from different provincial housing sub-markets in the Netherlands. In particular, the results indicate that Noord-Holland was most predominant from 1995Q1 to 2005Q2, while Drenthe became most central in the period 2005Q3-2016Q1.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Regional Science and Urban Economics - Volume 65, July 2017, Pages 56-64
Journal: Regional Science and Urban Economics - Volume 65, July 2017, Pages 56-64
نویسندگان
Alfred Larm Teye, Daniel Felix Ahelegbey,