An analysis of regional house prices in Greece

被引:1
|
作者
White, Michael [1 ]
Papastamos, Dimitrios [2 ]
机构
[1] Nottingham Trent Univ, Sch Architecture Design & Built Environm, Nottingham, England
[2] Eurobank Property Serv SA, Res & Analyt, Athens, Greece
关键词
Greece; Housing; Regional; Panel estimation;
D O I
10.1108/JERER-07-2018-0033
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Purpose This paper aims to examine the housing market in Greece after the Global Financial Crisis focussing on regional analysis and urban markets in Athens and Thessaloniki. Design/methodology/approach The paper uses a data set of over 70,750 property values from 2007 until 2014 incorporating characteristics variables upon which hedonic models are estimated. These form the bases for calculating value indices for mix adjusted houses/apartments by year and region. The indices are used in a panel model in which regional and economic variables are included as independent variables. Using advances in dynamic panel data modelling, a bias-corrected least squares dummy variable corrected (LSDVC) model is applied. Findings Results indicate the importance of macroeconomic variables in terms of the role of disposable income and significantly different regional effects. Examining the major urban markets, results indicate significant differences in the response of house values to exogenous demand side influences, consistent with the finding of significant regional differences in the LSDVC. Research limitations/implications While data on valuations are used that may contain smoothing, the data set covers a large sample of residential properties. As regional economic differences are significant and persistent, housing markets will also behave differently, and hence national policies, unless targeted, will have regionally differentiated effects. Practical implications Regional heterogeneity needs to be considered in model estimation. Social implications Policymakers should consider regional differences to improve policy effectiveness. Originality/value This is the first paper to use a large sample of residential properties in Greece and apply the LSDVC model to overcome estimation biases.
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页码:335 / 352
页数:18
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