通过关键基本面预测和评估欧元区房价

L. Gattini, P. Hiebert
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引用次数: 61

摘要

本文提出了一个预测和分析欧元区房价及其与宏观经济相互关系的简洁模型。一个季度矢量误差修正模型估计了1970-2009年期间的供应和需求力量,这是决定欧元区均衡房价及其动态的核心因素:住房投资、人均实际可支配收入和实际利率的混合期限衡量。除了使用所得的简化形式方程进行房价预测外,还采用King、Plosser、Stock和Watson(1991)的共同趋势框架对系统进行了结构分解,该框架允许对永久和短暂冲击进行识别和经济解释。主要结果是双重的。首先,简化形式模型在检验样本外的提前一步和两步预测时,密切跟踪房价拐点。此外,该模型表明,近年来欧元区的房价被高估了,这意味着一段时间的停滞将使住房估值回到与其模型基本面的一致。其次,在样本期内,住房需求和融资成本冲击似乎对欧元区房价的活力做出了重大贡献。虽然大部分增长似乎反映了长期因素,但从2005年起,临时因素也有所贡献。规范测试表明小模型对可选规范具有鲁棒性,以及长期限制的有效性。JEL分类:R21, R31, C32
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Forecasting and Assessing Euro Area House Prices through the Lens of Key Fundamentals
This paper presents a parsimonious model for forecasting and analysing euro area house prices and their interrelations with the macroeconomy. A quarterly vector error correction model is estimated over 1970-2009 using supply and demand forces central to the determination of euro area house prices in equilibrium and their dynamics: housing investment, real disposable income per capita and a mixed maturity measure of the real interest rate. In addition to house price forecasts using the resulting reduced form equation, a structural decomposition of the system is obtained employing a common trends framework of King, Plosser, Stock, and Watson (1991), which allows for the identification and economic interpretation of permanent and transitory shocks. The main results are twofold. First, the reduced form model tracks closely turning points in house prices when examining out-of-sample one- and two- step ahead forecasts. Moreover, the model suggests that euro area housing was overvalued in recent years, implying a period of stagnation to bring housing valuation back in line with its modelled fundamentals. Second, housing demand and financing cost shocks appear to have contributed strongly to the dynamism in euro area house prices over the sample period. While much of the increase appears to reflect a permanent component, a transitory component has also contributed from 2005 onwards. Specification tests suggest a robustness of the small model to alternative specifications, along with validity of the long-run restrictions. JEL Classification: R21, R31, C32
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