The impact of e-information on residential real estate services: transaction costs, social embeddedness, and market conditions

2010 ◽  
Vol 27 (1) ◽  
pp. 53-67 ◽  
Author(s):  
Jane Lee Saber ◽  
Paul R. Messinger
Keyword(s):  
Real Estate ◽  
Transaction Costs ◽  
Social Embeddedness ◽  
Residential Real Estate ◽  
Market Conditions ◽  
The Impact

scholarly journals International Real Estate Review

2017 ◽  
Vol 20 (1) ◽  
pp. 51-73
Author(s):  
Steven Stelk ◽  
◽  
Leonard V. Zumpano ◽  
Keyword(s):  
Real Estate ◽  
Selection Bias ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
Market Conditions ◽  
Home Prices ◽  
Boom And Bust ◽  
The Impact

This study investigates the impact of the brokerage market on home prices in both a seller's market (2006) and a buyer's market (2009). In both years, homes sold with brokerage assistance realized higher prices when compared with homes sold without the aid of a broker, even after controlling for selection bias in the seller¡¦s choice to use a broker. This is the first study that uses a national dataset from extreme boom and bust markets that has documented evidence of price segmentation in the residential real estate market. The findings may be the result of the market conditions in 2006 and 2009.

The Impact of Hurricanes on the Selling Price of Coastal Residential Real Estate

2017 ◽  
Vol 26 (2) ◽  
pp. 157-178 ◽  
Author(s):  
Scott Below ◽  
Eli Beracha ◽  
Hilla Skiba
Keyword(s):  
Real Estate ◽  
Selling Price ◽  
Residential Real Estate ◽  
The Impact

scholarly journals Assessment of the Impact of Public Transport Accessibility on the Value of Urban Residential Real Estate

2021 ◽  
Vol 20 (1) ◽  
pp. 62-83
Author(s):  
E. V. Leontev ◽  
◽  
I. A. Mayburov ◽  
Keyword(s):  
Real Estate ◽  
Public Transport ◽  
Real Estate Market ◽  
Transport Infrastructure ◽  
Lower Sensitivity ◽  
Residential Real Estate ◽  
Metro Station ◽  
Average Value ◽  
The Cost ◽  
The Impact

Currently, analysis of the impact of public transport on real estate and its value is widely demanded in the world. The analysis is used to plan investments in public transport and the efficiency of public transport networks. In Russia, such studies have been carried out mainly in the framework of the evaluation of specific properties, which does not make it possible to macroanalyze the urban public transport environment and compare them with each other. The aim of the work is to study the influence of the proximity of public transport infrastructure on the cost of urban residential real estate, to determine the average value of such an impact for Yekaterinburg. In this study, we intend to confirm the hypothesis about different influence of the proximity of a public transport stop on the cost of housing, taking into account the different set of attributes that characterize it. The calculations were carried out using the analysis of the supply of the real estate market, carried out with the method of multiple regression, simultaneously with the geo-positioning of real estate units on the map to calculate the distance of each object to the nearest public transport stop of a certain type. Based on the results of the calculations, a global tendency towards a higher cost of the properties that are close to tram stops or metro stations in Yekaterinburg is confirmed, and the share of the value of a property generated by the proximity of a public transport stop was calculated. The authors confirmed the hypothesis about varying sensitivity of residential real estate to the proximity of public transport stops. Newer homes have lower sensitivity to proximity to public transport stops than older ones. The obtained empirical evidence of the influence of public transport infrastructure on the value of residential real estate demonstrates the most significant contribution to the value of a real estate object, the proximity to the metro station in Yekaterinburg (3.0 – 12.0%). The tram infrastructure showed a slightly lower impact on the total cost of the facility (3.2 – 8.8%). The revealed interdependencies make it possible to apply the obtained data to forecasting the growth of the taxable base for property tax during the construction of new transport lines.

scholarly journals The Role of Macroprudential Policy in Bank Housing Loans Portfolio Quality Assurance

2021 ◽  
Vol 59 (2) ◽  
pp. 281-296
Author(s):  
Mirela Mitrašević
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
Macroprudential Policy ◽  
Mortgage Loans ◽  
Real Estate Markets ◽  
The Real Estate ◽  
Business Conditions ◽  
Policy Measures ◽  
The Impact

Abstract The subject of this paper is the contemporary trend in residential real estate markets in European countries and their impact on the quality of banks’ housing loan portfolios. Due to the fact that these are the markets that still have not fully recovered from the previous financial crisis, and at the time of writing were exposed to significant uncertainty related to the effects of specific business conditions caused by COVID-19, the research on the risks related to these markets and tools which can mitigate their consequences are of paramount importance. Given the fact that the importance of monitoring the emergence of systemic risks in the financial system and the design of macroprudential tools for Bosnia and Herzegovina is yet to come, one of the aims of the paper is to present the results of the research on the effectiveness of certain macroprudential policy measures for mitigating the impact of price fluctuations in residential real estate markets. A special attention is paid to the challenges that the real estate market and mortgage loans have been facing during the crisis caused by the COVID-19 pandemic. The paper provides a basis for future researches examining to which extent the applied macroprudential policy measures in some countries have been effective in hitherto unprecedented business conditions

scholarly journals Selected Aspects of the Residential Property Market in the Context of Creating a City Image (an Example from Rzeszów)

2020 ◽  
Vol 15 (1) ◽  
pp. 39-52
Author(s):  
Wiesława Kuźniar ◽  
Kazimierz Cyran
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
City Image ◽  
Residential Real Estate ◽  
Property Market ◽  
Secondary Sources ◽  
Modern Development ◽  
High Dynamics ◽  
The Impact ◽  
The City

The main goal of the article is to evaluate the city’s real estate sub-product and identify the impact of perception of this urban sphere on the overall image of Rzeszów city among students. A thesis was accepted by the authors that the attractive image of Rzeszów determines the development of the residential real estate market, attracting especially young, educated people to the city. On the basis of a literature analysis of the subject, information obtained from secondary sources on the topic of Rzeszów, as well as surveys carried out in 2018 among students (n = 325), the thesis was confirmed. Thanks to the fast, modern development of the city and consistently implemented marketing activities, Rzeszów is perceived as an innovative city that is friendly to residents, investors and students. This contributes to the inflow of new, usually young, educated residents and investors, which in turn translates into high dynamics in the residential real estate market. Questionnaire surveys carried out among students have shown that they highly appreciate the current image of Rzeszów and, most after graduation, plan to stay in the city which in their opinion is an attractive place for everyday life.

The Impact of the Opportunity Zone Program on the Residential Real Estate Market

2021 ◽  
Author(s):  
Ron Bekkerman ◽  
Maxime C. Cohen ◽  
John Maiden ◽  
Dmitry Mitrofanov
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
The Impact

Effects of Transportation Infrastructure and Location on Residential Real Estate Values: Application of Spatial Autoregressive Techniques

2000 ◽  
Vol 1722 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Murtaza Haider ◽  
Eric J. Miller
Keyword(s):  
Real Estate ◽  
Large Data ◽  
Transportation Infrastructure ◽  
Residential Real Estate ◽  
Housing Values ◽  
Data Set ◽  
Explanatory Variables ◽  
Greater Toronto Area ◽  
Spatial Autoregressive ◽  
The Impact

Proximity to transportation infrastructure (highways and public transit) influences residential real estate values. Housing values also are influenced by propinquity to a shopping facility or a recreational amenity. Spatial autoregressive (SAR) models were used to estimate the impact of locational elements on the price of residential properties sold during 1995 in the Greater Toronto Area. A large data set consisting of 27,400 freehold sales was used in the study. Moran’s I was estimated to determine the effects of spatial autocorrelation that existed in housing values. SAR models, using a combination of locational influences, neighborhood characteristics, and structural attributes, explained 83 percent variance in housing values. Using the “comparable sales approach,” a spatiotemporal lag variable was estimated for every property in the database. This research discovered that SAR models offered a better fit than nonspatial models. This study also discovered that in the presence of other explanatory variables, locational and transportation factors were not strong determinants of housing values. On the other hand, the number of washrooms and the average household income in a neighborhood were found to be significant determinants of housing values. Stepwise regression techniques were used to determine reduced spatial hedonic models.

scholarly journals The Social Embeddedness of Transactions: Evidence from the Residential Real-Estate Industry

2003 ◽  
Vol 19 (2) ◽  
pp. 135-154 ◽  
Author(s):  
Steve Sawyer ◽  
Kevin Crowston ◽  
Rolf T. Wigand ◽  
Marcel Allbritton
Keyword(s):  
Real Estate ◽  
Social Embeddedness ◽  
Real Estate Industry ◽  
Residential Real Estate ◽  
The Social
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