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Economy of Region
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Economy of Region
Article . 2023
Data sources: DOAJ
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Determinants of Regional Disparities in Housing Prices: A Spatial Analysis of German Regions

Authors: E. V. Semerikova; A. O. Blokhina; A. Nastansky;

Determinants of Regional Disparities in Housing Prices: A Spatial Analysis of German Regions

Abstract

Germany is characterised by heterogeneous regional development in various economic spheres, including housing markets. Differences in housing prices persist during decades, causing undesirable inequality, affecting migration and employment patterns. The purpose of this work is to identify regional factors which affect regional housing prices in Germany. The peculiarity of the study is the consideration of the spatial location of regions for analysing the influence of the characteristics of neighbouring regions. Based on data from 397 German regions for 2004-2019, spatial econometric panel data models are built, which consider both selling and rental prices. The following factors that affect demand in the housing market are used as determinants of housing prices: the unemployment rate, the balance of pendulum migration at the place of work and living, the share of employment, wages, the number of employees, gross regional product. The analysis findings revealed that factors that raise income for the population trigger an upsurge in demand and prices for housing. Conversely, opposite effects result in a decline in prices due to a decrease in demand. Moreover, it was verified that neighbouring regions mutually affect housing markets through pendulum migration and the creation of economic clusters with similar living standards and prices. Furthermore, changes in labour market metrics are crucial; unemployment, wages, and the number of workers in nearby regions have a significant influence on real estate prices in the area under examination. The study’s practical importance lies in the possibility of using its outcomes to develop regional and migration policies.

Keywords

MIGRATION, HOUSING COSTS, ПРОСТРАНСТВЕННЫЕ ЭКОНОМЕТРИЧЕСКИЕ МОДЕЛИ ПАНЕЛЬНЫХ ДАННЫХ, МАТРИЦА ВЕСОВЫХ КОЭФФИЦИЕНТОВ, GERMAN REGIONS, СТОИМОСТЬ АРЕНДЫ, Regional economics. Space in economics, SPATIAL ECONOMETRICS, ДЕТЕРМИНАНТЫ СТОИМОСТИ ЖИЛЬЯ, ПРОСТРАНСТВЕННАЯ ЭКОНОМЕТРИКА, RENTAL COSTS, РЕГИОНЫ ГЕРМАНИИ, СТОИМОСТЬ ЖИЛЬЯ, HOUSING MARKET, РЫНОК НЕДВИЖИМОСТИ, PANEL DATA SPATIAL ECONOMETRIC MODELS, DETERMINANTS OF HOUSING COSTS, WEIGHTING MATRIX, UNEMPLOYMENT RATE, УРОВЕНЬ БЕЗРАБОТИЦЫ, HT388, spatial econometrics, German regions, housing market, housing costs, rental costs, determinants of housing costs, panel data spatial econometric models, weighting matrix, unemployment rate, migration, МИГРАЦИЯ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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