This paper illustrates the effect of societal aging on apartment prices in Leipzig (Germany), comparing a sample of city-level demographic and apartment price index data between 1990 and 2018. The impact of small households, as well as the old age dependency ratio, will be inspected. A regression model (OLS) is constructed to examine both occurrences. Statistical significance of the variables is proofed by relevant research on the topic. Results show that the number of small households is positively, and old age dependency ratio negatively correlated to the average apartment price (€/m2) in Leipzig. Summing up, this paper recommends to critically examine societal aging factors in order to determine political, investment, and property developing strategies.
Inhaltsverzeichnis (Table of Contents)
- Title and Abstract
- Introduction
- Objectives
- Literature Review
- Development of hypothesis
- Research Design
- Data and Sources
- Expected outcome and contingent plan
- References
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This paper investigates the impact of societal aging on apartment prices in Leipzig, Germany. It aims to analyze the correlation between small household size and old-age dependency ratio with apartment price fluctuations between 1990 and 2018. The research employs a regression model (OLS) to examine these relationships and their statistical significance.
- The impact of societal aging on apartment prices
- The role of small households in apartment price dynamics
- The correlation between old-age dependency ratio and apartment prices
- The application of a regression model (OLS) for analysis
- The implications of research findings for policy, investment, and property development
Zusammenfassung der Kapitel (Chapter Summaries)
- Title and Abstract: Introduces the research question, methodology, and key findings regarding the impact of societal aging on apartment prices in Leipzig.
- Introduction: Provides context by discussing societal aging trends in Germany, specifically highlighting the unique case of Leipzig's demographic and economic development. It emphasizes the city's growing population, increasing property prices, and challenges related to aging.
Schlüsselwörter (Keywords)
The paper focuses on the relationship between societal aging, small households, old-age dependency ratio, apartment prices, and the German city of Leipzig. It employs a hedonic regression model (OLS) to analyze these relationships and provides insights into the impact of demographic shifts on the property market.
Frequently Asked Questions
How does societal aging impact apartment prices in Leipzig?
The research indicates that societal aging factors, specifically the old age dependency ratio, have a negative correlation with average apartment prices (€/m2) in Leipzig, whereas the number of small households shows a positive correlation.
What is the relationship between small households and property dynamics?
The study finds that an increase in small households contributes positively to apartment price fluctuations, likely due to shifting demand for specific types of urban living spaces in Leipzig.
What methodology was used to analyze Leipzig's real estate market?
The paper employs a hedonic regression model (Ordinary Least Squares - OLS) to compare city-level demographic data and apartment price index data between 1990 and 2018.
What is the old age dependency ratio in this study?
The old age dependency ratio is a demographic indicator used to inspect the impact of an aging population on the economy; in this context, it was found to be negatively correlated with apartment prices.
What are the recommendations for property developers in aging societies?
The paper recommends that property developers, investors, and policymakers critically examine societal aging factors to determine effective investment and development strategies for the future.
- Citation du texte
- Benjamin Liers (Auteur), 2019, How societal aging impacts apartment prices in Leipzig, Germany, Munich, GRIN Verlag, https://www.grin.com/document/542906
