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.
Table of Contents
1 Title and Abstract
2 Introduction
3 Objectives
4 Literature Review
5 Development of hypothesis
6 Research Design
7 Data and Sources
8 Expected outcome and contingent plan
9 References
Research Objectives and Themes
The primary objective of this research is to investigate the impact of societal aging on apartment prices in Leipzig, Germany, by analyzing demographic and market data from 1990 to 2018 using a hedonic regression model (OLS).
- Analysis of the relationship between small household growth and apartment prices.
- Evaluation of the "old age dependency ratio" as a risk factor for real estate valuations.
- Examination of the interaction between apartment size and changing demographic trends.
- Validation of economic theory regarding aging populations in an emerging urban market.
- Development of strategic recommendations for property investors and political stakeholders.
Excerpt from the Book
3 Objectives
Demography in Leipzig has shifted over the last decades. The elder cohort tended to increase more rapidly compared to the working-age cohort. People seemed to be elder on average, but at a certain point, the phenomena changed. The old age dependency ratio (people aged 65+ over people aged 20 to 65) started to decrease from 2010 after it stagnated a couple of years earlier (Federal Statistical Office Saxonia). Leipzig kept many historical residential buildings that have not been destroyed during the war. From 2000, a big wave of refurbishments started to make the city attractive to young people. Due to a continuous economic upwards trend, many well known corporations settled in Leipzig, while universities kept increasing student numbers. Looking at recent data, one can see that the ratio has stagnated again since 2016 and remains constant. Furthermore, the number of single and two-person households is increasing due to a declining household size. One reason may be an aging society.
Knowing that, it seems to be highly relevant to examine if an increasing number of small households affects the apartment prices per square meter significantly positive or not. On the other hand, testing the real risk of aging (by old age dependency) is going to be conducted and will be empirically tested through a regression model. These effects are going to be analyzed for the residential apartment submarket in Leipzig.
The results should support investors to evaluate the risk of aging in order to determine an investment strategy. Indicated correlations should help to assess ongoing aging shifts for capital allocation.
Summary of Chapters
1 Title and Abstract: Provides an overview of the research scope, highlighting the use of OLS regression to analyze the correlation between demographic shifts and apartment prices in Leipzig.
2 Introduction: Discusses the socio-economic context of Leipzig, noting its transition from post-reunification challenges to a high-growth "boom town" while facing demographic aging pressures.
3 Objectives: Outlines the necessity of examining the impact of rising small households and the old-age dependency ratio on residential property valuations.
4 Literature Review: Reviews existing empirical studies on the relationship between birth rates, aging populations, and housing demand in various global markets, including the US, Japan, and Germany.
5 Development of hypothesis: Defines two primary hypotheses regarding the impact of small household growth and old-age dependency on apartment prices and size.
6 Research Design: Describes the hedonic regression model and the variables selected to isolate the influence of demographic factors on apartment prices.
7 Data and Sources: Details the origin of the collected data, including private databases like BulwienGesa and public sources such as the Federal Statistical Office.
8 Expected outcome and contingent plan: Formulates expectations based on current research, predicting a positive correlation for small households and a negative impact from the old-age dependency ratio.
9 References: Lists the academic literature and statistical data sources used throughout the paper.
Keywords
Societal aging, apartment prices, Leipzig, hedonic regression, old age dependency ratio, small households, property market, demographic change, real estate, urban development, housing demand, OLS model, investment strategy, population growth, Germany.
Frequently Asked Questions
What is the core focus of this research paper?
The paper examines how demographic changes, specifically societal aging and the increase in small household sizes, influence residential apartment prices in the city of Leipzig, Germany.
What are the primary themes addressed in the work?
The core themes include demographic shifts (aging and household structure), urban real estate economics, property pricing mechanisms, and the impact of macro-economic indicators on local housing markets.
What is the main research question or goal?
The main goal is to determine if and how societal aging significantly impacts apartment prices in Leipzig, providing empirical evidence to assist investors and policymakers in their strategy development.
Which scientific methods are applied in this study?
The author uses a hedonic regression model (OLS) to assess the impact of various demographic and property-specific variables on the price per square meter of apartments.
What topics are covered in the main body of the paper?
The main body covers the theoretical background through literature reviews, the development of specific testable hypotheses, the methodological design of the regression model, and the interpretation of the expected results.
Which keywords best characterize this publication?
Key terms include societal aging, Leipzig property market, hedonic regression, apartment pricing, demographic trends, and household size.
Why is Leipzig chosen as the case study for this analysis?
Leipzig is examined as an emerging regional market that has experienced rapid population growth and significant price increases, making it an ideal case to test the impact of aging compared to more established "top" cities.
How does the author handle the influence of migration in the model?
The research incorporates a specific control variable for the balance of inward and outward migration to isolate the effect of household structure and aging from general population growth patterns.
Are the study's conclusions universally applicable?
The author notes limitations, stating that the findings may not apply to exceptionally wealthy retirement cities or areas with unique luxury housing concentrations, suggesting caution in universal application.
What role does the "old age dependency ratio" play in the regression?
The old age dependency ratio is utilized as a core variable to test the hypothesis that a higher proportion of elderly residents has a negative impact on apartment prices, ceteris paribus.
- Citar trabajo
- Benjamin Liers (Autor), 2019, How societal aging impacts apartment prices in Leipzig, Germany, Múnich, GRIN Verlag, https://www.grin.com/document/542906
