FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W232665807> ?p ?o ?g. }

• W232665807 startingPage "29" @default.
• W232665807 abstract "Internationally, Germany has a low owner-occupation rate of approximately 43%. Therefore, the rented apartment sector is traditionally of great importance. Nevertheless, only a limited number of empirical studies for the German apartment sector exist. This study provides insight into the rental dynamics of the market for newly built apartments by examining the factors that influence rental change. The empirical results show that the real rental growth of newly built apartments is influenced by income growth, migration patterns and past growth in real construction costs. The results also support the assumption of a backward looking expectation formation process from the developers when applying for a building permit and the structurally higher rental growth rate in southern Germany. (ProQuest: ... denotes formulae omitted.) Introduction Internationally, Germany has a low owner-occupation rate of approximately 43%. Therefore, the rented apartment sector is traditionally of great importance. Therefore, the factors affecting apartment rents and their movement are of interest for urban planners, developers, financing institutions and real estate professionals. Additionally, future demographic changes (Deutsche Bank, 2003a, 2003b) require a good understanding of the functioning of the rental apartment sector by developers and investors in order to deal effectively with the upcoming challenges. Nevertheless, only a limited number of empirical studies for the German residential sector exist. This study provides insight into the functioning of the market for newly built apartments by examining the factors that influence real the rental change of newly built apartments in forty-four West German cities. In comparison to the existing research, the study uses time series data of a broad sample of West German cities to investigate the factors influencing real rental change to get a better understanding of this part of the German residential sector. The rest of the paper is organized as follows. The next section reviews recent studies on the German residential sector and shows the differences of these studies from the approach taken in this paper. The section that follows describes the underlying model structure used for the estimation and the variable specification. This discussion is followed by the empirical results and their interpretations. The paper closes with concluding remarks. Past Studies on the German Residential Sector There are few empirical studies of the determinants of rents and prices in the German residential sector. One of the main reasons can be seen in the lack of reliable statistical information from official sources about rents and prices in the German real estate market. Nevertheless, two recent examples of studies are the working papers of Schultz and Werwatz (2001) and Hoffmann and Kurz (2002). Schultz and Werwatz (2001) use a present value relation to derive a model that explains the formation and the movement of real estate prices. Based on this model, they come up with implicit hedonic prices for different characteristics of single-family houses in Berlin for the districts of Zehlendorf, Wilmersdorf, Steglitz and Charlottenburg in the south of Berlin. Hoffmann and Kurz (2002) use data from the German Socio-Economic Panel to perform hedonic analyses of housing rents.1 Based on their hedonic regression results, the authors compute different price indices to measure rent inflation. Comparing their results with the official rent index for West Germany for the period 1985 to 1998, they find that there is some evidence of an understatement of rent inflation in the official rent index for West Germany at the beginning of the 1990s whereas the difference in the adjacent periods is close to zero. This paper takes a different approach from the two studies described by using times series data for a panel of forty-four West German cities. By using a panel approach, this study goes a step further than Dopfer (2001) who used time series analysis to model a rent index constructed from the rental data of thirty-nine West German cities. …" @default.
• W232665807 created "2016-06-24" @default.
• W232665807 creator A5031766925 @default.
• W232665807 date "2006-01-01" @default.
• W232665807 modified "2023-09-23" @default.
• W232665807 title "International Articles: The Rental Dynamics of the West German Market for Newly Built Apartments" @default.
• W232665807 hasPublicationYear "2006" @default.
• W232665807 type Work @default.
• W232665807 sameAs 232665807 @default.
• W232665807 citedByCount "0" @default.
• W232665807 crossrefType "journal-article" @default.
• W232665807 hasAuthorship W232665807A5031766925 @default.
• W232665807 hasConcept C10138342 @default.
• W232665807 hasConcept C106866004 @default.
• W232665807 hasConcept C111472728 @default.
• W232665807 hasConcept C120936955 @default.
• W232665807 hasConcept C127413603 @default.
• W232665807 hasConcept C138885662 @default.
• W232665807 hasConcept C144133560 @default.
• W232665807 hasConcept C147176958 @default.
• W232665807 hasConcept C154775046 @default.
• W232665807 hasConcept C162324750 @default.
• W232665807 hasConcept C166957645 @default.
• W232665807 hasConcept C205649164 @default.
• W232665807 hasConcept C2779265402 @default.
• W232665807 hasConcept C34447519 @default.
• W232665807 hasConcept C82279013 @default.
• W232665807 hasConcept C85502023 @default.
• W232665807 hasConceptScore W232665807C10138342 @default.
• W232665807 hasConceptScore W232665807C106866004 @default.
• W232665807 hasConceptScore W232665807C111472728 @default.
• W232665807 hasConceptScore W232665807C120936955 @default.
• W232665807 hasConceptScore W232665807C127413603 @default.
• W232665807 hasConceptScore W232665807C138885662 @default.
• W232665807 hasConceptScore W232665807C144133560 @default.
• W232665807 hasConceptScore W232665807C147176958 @default.
• W232665807 hasConceptScore W232665807C154775046 @default.
• W232665807 hasConceptScore W232665807C162324750 @default.
• W232665807 hasConceptScore W232665807C166957645 @default.
• W232665807 hasConceptScore W232665807C205649164 @default.
• W232665807 hasConceptScore W232665807C2779265402 @default.
• W232665807 hasConceptScore W232665807C34447519 @default.
• W232665807 hasConceptScore W232665807C82279013 @default.
• W232665807 hasConceptScore W232665807C85502023 @default.
• W232665807 hasIssue "1" @default.
• W232665807 hasLocation W2326658071 @default.
• W232665807 hasOpenAccess W232665807 @default.
• W232665807 hasPrimaryLocation W2326658071 @default.
• W232665807 hasRelatedWork W1598130580 @default.
• W232665807 hasRelatedWork W1615729914 @default.
• W232665807 hasRelatedWork W1881504664 @default.
• W232665807 hasRelatedWork W1973255338 @default.
• W232665807 hasRelatedWork W2030028944 @default.
• W232665807 hasRelatedWork W212865933 @default.
• W232665807 hasRelatedWork W2582045209 @default.
• W232665807 hasRelatedWork W2766254958 @default.
• W232665807 hasRelatedWork W2777334300 @default.
• W232665807 hasRelatedWork W2972444837 @default.
• W232665807 hasRelatedWork W3081688436 @default.
• W232665807 hasRelatedWork W3122791846 @default.
• W232665807 hasRelatedWork W3123003904 @default.
• W232665807 hasRelatedWork W3123355841 @default.
• W232665807 hasRelatedWork W3125996837 @default.
• W232665807 hasRelatedWork W3141863672 @default.
• W232665807 hasRelatedWork W3165330588 @default.
• W232665807 hasRelatedWork W3189039914 @default.
• W232665807 hasRelatedWork W50730133 @default.
• W232665807 hasRelatedWork W3125156584 @default.
• W232665807 hasVolume "14" @default.
• W232665807 isParatext "false" @default.
• W232665807 isRetracted "false" @default.
• W232665807 magId "232665807" @default.
• W232665807 workType "article" @default.