VECM Analysis to House Price Index. Case of Tirana

E. Marku, Llesh Lleshaj, Arjana Lleshaj
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Abstract

This paper analyzes long-run equilibrium of “house price index” in Tirana (the capital city of Albania) achieved by the long-run performance of macroeconomic factors.We have used the techniques and analysis of linear multiple regression by VECM (vector error correction model), to identify endogenous factors, that effect the stability of “house price index”. The analyze is based on data series 2010-2018 (with 3-month frequency), with independent variables: mortgage loan, interest rate on long-term loans, construction cost index, EUR/ALL exchange rate, house price index with lag(1).We conclude that all these independent variable (expect EUR/ALL exchange rate) are statistically significant, in long-run equilibrium and in the elasticity assessment of “house price index”.
房价指数的VECM分析。地拉那案例
本文分析了宏观经济因素的长期表现所实现的阿尔巴尼亚首都地拉那“房价指数”的长期均衡。本文运用向量误差修正模型(VECM)的线性多元回归技术和分析方法,找出影响“房价指数”稳定性的内生因素。分析基于2010-2018年的数据系列(以3个月为频率),自变量:抵押贷款、长期贷款利率、建筑成本指数、EUR/ALL汇率、滞后房价指数(1)。我们得出结论,所有这些自变量(除了欧元/ all汇率)在长期均衡和“房价指数”弹性评估中都具有统计显著性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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