Impacts of Urban Environmental Attributes on Residential Housing Prices in Warsaw (Poland): Spatial Hedonic Analysis of City Districts

2017 ◽  
pp. 155-164
Author(s):  
Magdalena Ligus ◽  
Piotr Peternek
Keyword(s):  
Housing Prices ◽  
Hedonic Analysis ◽  
Residential Housing ◽  
Environmental Attributes

scholarly journals Ruin Pubs in Budapest: Blessing or Curse?

2018 ◽  
Vol 26 (3) ◽  
pp. 51-59
Author(s):  
István Hajnal
Keyword(s):  
Quality Of Life ◽  
Housing Prices ◽  
Hedonic Analysis ◽  
Good Opportunity ◽  
Tourist Attractions ◽  
Negative Opinion

Abstract One of the most prominent tourist attractions in Budapest is the ruin pub district. Here, in ruined, rundown buildings, clubs that are mainly aimed at young foreigners, participants in party tourism, have sprung up like mushrooms. In Inner Erzsébetváros, the housing prices have significantly risen, since investors see the short- or long-term renting of the apartments as a good opportunity. Those who live in the district, however, find the noise of parties to be too loud, while the crowd and the dirt reduces their quality of life. The apartments located near these pubs are so-called “stigmatized properties”, since their value is shaped by the - positive or negative - opinion of the community. Using the method of hedonic analysis, this article examines the question of whether ruin pubs are a blessing or a curse to surrounding apartments, whether their effect increases or, on the contrary, decreases the apartments’ values.

scholarly journals Applying Comparable Sales Method to the Automated Estimation of Real Estate Prices

2020 ◽  
Vol 12 (14) ◽  
pp. 5679 ◽  
Author(s):  
Yunjong Kim ◽  
Seungwoo Choi ◽  
Mun Yong Yi
Keyword(s):  
Real Estate ◽  
Traditional Approach ◽  
Housing Prices ◽  
Capital City ◽  
Housing Type ◽  
Residential Housing ◽  
Machine Learning Approach ◽  
Price Estimation ◽  
Real Estate Prices ◽  
Current Price

In this paper, we propose a novel procedure designed to apply comparable sales method to the automated price estimation of real estates, in particular, that of apartments. Apartments are the most popular residential housing type in Korea. The price of a single apartment is influenced by many factors, making it hard to estimate accurately. Moreover, as an apartment is purchased for living, with a sizable amount of money, it is mostly traded infrequently. Thus, its past transaction price may not be particularly helpful to the estimation after a certain period of time. For these reasons, the up-to-date price of an apartment is commonly estimated by certified appraisers, who typically rely on comparable sales method (CSM). CSM requires comparable properties to be identified and used as references in estimating the current price of the property in question. In this research, we develop a procedure to systematically apply this procedure to the automated estimation of apartment prices and assess its applicability using nine years’ real transaction data from the capital city and the most-populated province in South Korea and multiple scenarios designed to reflect the conditions of low and high fluctuations of housing prices. The results from extensive evaluations show that the proposed approach is superior to the traditional approach of relying on real estate professionals and also to the baseline machine learning approach.

scholarly journals Evaluation of Residential Housing Prices on the Internet: Data Pitfalls

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Ming Li ◽  
Guojun Zhang ◽  
Yunliang Chen ◽  
Chunshan Zhou
Keyword(s):  
Real Estate ◽  
Central City ◽  
Housing Prices ◽  
Housing Price ◽  
Data Sources ◽  
City Centre ◽  
The Internet ◽  
Residential Housing ◽  
For Profit ◽  
Comparison Results

Many studies have used housing prices on the Internet real estate information platforms as data sources, but platforms differ in the nature and quality of the data they release. However, few studies have analysed these differences or their effect on research. In this study, second-hand neighbourhood housing prices and information on five online real estate information platforms in Guangzhou, China, were comparatively analysed and the performance of neighbourhoods’ raw information from four for-profit online real estate information platforms was evaluated by applying the same housing price model. The comparison results show that the official second-hand residential housing prices at city and district level are generally lower than those issued on four for-profit real estate websites. The same second-hand neighbourhood housing prices are similar across each of the four for-profit real estate websites due to cross-referencing among real estate websites. The differences of housing prices in the central city area are significantly fewer than those in the periphery. The variation of each neighbourhood’s housing prices on each website decreases gradually from the city centre to the periphery, but the relative variation stays stable. The results of the four hedonic models have some inconsistencies with other studies’ findings, demonstrating that errors exist in raw information on neighbourhoods taken from Internet platforms. These results remind researchers to choose housing price data sources cautiously and that raw information on neighbourhoods from Internet platforms should be appropriately cleaned.

Homeownership and Financial Strain Following the Collapse of the Housing Market: A Comparative Study on Loan Delinquencies Between Black and White Households

2015 ◽  
Vol 26 (1) ◽  
pp. 79-93 ◽  
Author(s):  
Richard F. Bieker ◽  
Yoonkyung Yuh
Keyword(s):  
Housing Market ◽  
Housing Prices ◽  
Potential Effect ◽  
Financial Strain ◽  
Residential Housing ◽  
Black And White ◽  
Consumer Finances ◽  
Time Period ◽  
Using Data ◽  
The Impact

The objectives of this study were to evaluate the extent to which homeownership contributed to household financial strain as measured by loan delinquency after the onset of the recent housing market crash, and to examine if the impact of homeownership on household financial strain differed for Black and White households. Using data from the 2010 Survey of Consumer Finances, we found that, after controlling for other factors, a household's housing preferences had a potential effect on the likelihood of experiencing financial strain following the collapse of residential housing prices. In addition, Black homeowners were more likely to have experienced financial strain following the housing collapse than were White homeowners, regardless of the time period in which the home was purchased. The implications of the findings for public policy, personal financial planning and education, and further research are presented.

scholarly journals Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China

2018 ◽  
Vol 10 (7) ◽  
pp. 2254 ◽  
Author(s):  
Haizhen Wen ◽  
Zaiyuan Gui ◽  
Chuanhao Tian ◽  
Yue Xiao ◽  
Li Fang
Keyword(s):  
Housing Prices ◽  
Hedonic Analysis

scholarly journals Interest Rate Elasticity of Residential Housing Prices

2008 ◽  
Author(s):  
Martin Cihak ◽  
Plamen K. Iossifov ◽  
Amar Shanghavi
Keyword(s):  
Interest Rate ◽  
Housing Prices ◽  
Residential Housing
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