MACROECONOMIC VARIABLES INFLUENCING HOUSING PRICES IN VILNIUS

Author:

Laurinavičius Alfredas1ORCID,Laurinavičius Antanas2ORCID,Laurinavičius Algimantas2ORCID

Affiliation:

1. Department of Roads, Faculty of Environmental Engineering, Vilnius Gediminas Technical University, Vilnius, Lithuania

2. Department of Finance, Faculty of Economics and Business Administration, Vilnius University, Vilnius, Lithuania

Abstract

The way macroeconomic variables such as unemployment/GDP per capita/inflation/wages/internal migration influenced housing prices (nominal house prices and housing rent prices) in Vilnius in 2006–2019 has been investigated in the research. Conditions under which different macroeconomic variables could influence housing prices were established in the research. Lower unemployment, higher GDP per capita and inflation rate were all related to higher nominal house prices in Vilnius. Higher GDP per capita, wages and internal migration were positively related to housing rent prices in Vilnius. Analyzed macroeconomic variables all together explained 88 percent of variance of nominal house prices in Vilnius over the period of 2006–2019 and 80 percent of variance of housing rent prices in Vilnius over the same period.

Publisher

Vilnius Gediminas Technical University

Subject

Strategy and Management

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The COVID-19 pandemic and the real estate market in the Czech Republic;Entrepreneurship and Sustainability Issues;2024-06-30

2. Supply, Demand and Asymmetric Adjustment of House Prices in Poland;Real Estate Management and Valuation;2024-01-01

3. Discovering the determinants of house prices dynamics in Poland using Bayesian model averaging;Economics & Sociology;2023-12

4. THE INTER-RELATIONSHIPS AMONG MOBILITY, HOUSING PRICES AND INNOVATION: EVIDENCE FROM CHINA’S CITIES;International Journal of Strategic Property Management;2023-10-27

5. A bibliometric analysis of six decades of academic research on housing prices;International Journal of Housing Markets and Analysis;2022-09-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3