The Influence of PyeongChang 2018 Olympic Winter Games’ Bid Announcement on the Real Estate Prices of the Host Regions : An Application of the Difference-in-Difference Analysis

2020 ◽  
Vol 25 (4) ◽  
pp. 79-95
Author(s):  
Chan Hyeon Hur ◽  
Kihan Kim
2021 ◽  
Vol 13 (4) ◽  
pp. 2236
Author(s):  
Francesco Riccioli ◽  
Roberto Fratini ◽  
Fabio Boncinelli

Using spatial econometric techniques and local spatial statistics, this study explores the relationships between the real estate values in Tuscany with the individual perception of satisfaction by landscape types. The analysis includes the usual territorial variables such as proximity to urban centres and roads. The landscape values are measured through a sample of respondents who expressed their aesthetic-visual perceptions of different types of land use. Results from a multivariate local Geary highlight that house prices are not spatial independent and that between the variables included in the analysis there is mainly a positive correlation. Specifically, the findings demonstrate a significant spatial dependence in real estate prices. The aesthetic values influence the real estate price throughout more a spatial indirect effect rather than the direct effect. Practically, house prices in specific areas are more influenced by aspects such as proximity to essential services. The results seem to show to live close to highly aesthetic environments not in these environments. The results relating to the distance from the main roads, however, seem counterintuitive. This result probably depends on the evidence that these areas suffer from greater traffic jam or pollution or they are preferred for alternative uses such as for locating industrial plants or big shopping centres rather than residential use. Therefore, these effects decrease house prices.


2013 ◽  
Vol 21 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Sebastian Kokot ◽  
Marcin Bas

Abstract The specific character of the real estate market is the reason why observations of transaction prices seen as statistical variables are taken in a non-standard way. In the traditional approach each time period or specific moments of time are attributed with one observation of a studied variable per one object. In the case of the real estate market, this is not possible since transactions relate to different objects, i.e., properties, and occur at irregular, or even random, moments. This is why traditional methods used to examine the dynamics of economic phenomena must be adapted to specific conditions on the real estate market. Keeping that in mind, the aim of this paper is to adapt classical statistical examination methods of dynamics to specific conditions of the real estate market followed by the actual examination of the dynamics of real estate prices in three sub-segments of the housing market in Szczecin. On its basis, the authors evaluate various methods of examining real estate price dynamics in terms of their applicability in real estate appraisal procedures and, in a broader perspective, present characteristic phenomena that can be observed on the real estate market.


2015 ◽  
Vol 23 (2) ◽  
pp. 102-111 ◽  
Author(s):  
Radosław Cellmer ◽  
Katarzyna Szczepankowska

Abstract The regularities and relations between real estate prices and the factors that shape them may be presented in the form of statistical models, thanks to which the diagnosis and prediction of prices is possible. A formal description of empirical observation presented in the form of regressive models also offers a possibility for creating certain phenomena in a virtual dimension. Market phenomena cannot be fully described with the use of determinist models, which clarify only a part of price variation. The predicted price is, in this situation, a special case of implementing a random function. Assuming that other implementations are also possible, regressive models may constitute a basis for simulation, which results in the procurement of a future image of the market. Simulation may refer both to real estate prices and transaction prices. The basis for price simulation may be familiarity with the structure of the analyzed market data. Assuming that this structure has a static character, simulation of real estate prices is performed on the basis of familiarity with the probability distribution and a generator of random numbers. The basis for price simulation is familiarity with model parameters and probability distribution of the random factor. The study presents the core and theoretical description of a transaction simulation on the real estate market, as well as the results of an experiment regarding transaction prices of office real estate located within the area of the city of Olsztyn. The result of the study is a collection of virtual real properties with known features and simulated prices, constituting a reflection of market processes which may take place in the near future. Comparison between the simulated characteristic and actual transactions in turn allows the correctness of the description of reality by the model to be verified.


2021 ◽  
Vol 64 (04) ◽  
pp. 513-532
Author(s):  
Melita Ulbl ◽  
Andraž Muhič

The proper and unambiguous reporting of the real estate market is one of the main requirements for ensuring its transparency. Reporting on the prices of real estate realised on the market is a special challenge here. For this purpose, averages are generally used, requiring both the reporter and the reader to be well acquainted with the rules of individual types of averages on the one hand and the specificities and heterogeneity of the real estate market on the other. In this paper, we present the specifics of individual mean values that can be used for this purpose. These characteristics are analysed in more detail and presented in the case of the Slovenian housing market. The purpose of this paper is to present the dilemmas faced in Slovenia when reporting on real estate prices on the market and present the solutions that the Surveying and Mapping Authority of the Republic of Slovenia will begin to introduce in its reports on the real estate market.


2020 ◽  
Vol 9 (7) ◽  
pp. 114 ◽  
Author(s):  
Vincenzo Del Giudice ◽  
Pierfrancesco De Paola ◽  
Francesco Paolo Del Giudice

The COVID-19 (also called “SARS-CoV-2”) pandemic is causing a dramatic reduction in consumption, with a further drop in prices and a decrease in workers’ per capita income. To this will be added an increase in unemployment, which will further depress consumption. The real estate market, as for other productive and commercial sectors, in the short and mid-run, will not tend to move independently from the context of the aforementioned economic variables. The effect of pandemics or health emergencies on housing markets is an unexplored topic in international literature. For this reason, firstly, the few specific studies found are reported and, by analogy, studies on the effects of terrorism attacks and natural disasters on real estate prices are examined too. Subsequently, beginning from the real estate dynamics and economic indicators of the Campania region before the COVID-19 emergency, the current COVID-19 scenario is defined (focusing on unemployment, personal and household income, real estate judicial execution, real estate dynamics). Finally, a real estate pricing model is developed, evaluating the short and mid-run COVID-19 effects on housing prices. To predict possible changes in the mid-run of real estate judicial execution and real estate dynamics, the economic model of Lotka–Volterra (also known as the “prey–predator” model) was applied. Results of the model indicate a housing prices drop of 4.16% in the short-run and 6.49% in the mid-run (late 2020–early 2021).


2019 ◽  
Vol 6 (2) ◽  
pp. 79-85
Author(s):  
Maria Chernyshova ◽  
Arina Malenkaya ◽  
Tatyana Mezhuyeva

In the real estate market price depends on supply and demand is formed under the influence of social, economic and physical factors. The article presents the results of the analysis of pricing factors in the real estate market, the forecast of real estate prices in 2019.


2012 ◽  
Vol 1 (1) ◽  
pp. 61-67
Author(s):  
Muthupandian B ◽  
Velmurugan

The real estate sector is a major employment driver in India and it contributes a significant level to the GDP. Besides, it is the main source of wealth for all section of the people. There is no transparency and efficiency in the pricing of real estate transaction in-spite-of some indices representing the price movement of the real estate sector. This is because the price is based only on the primary market transaction. It‟s completely excluding the secondary market transaction of the sector. This paper attempts to address this issue by proposing an online exchange for real estate transaction, for bringing in more liquidity and transparencyto the sector, along with an index, based on the price traded in that exchange. These will a high relative measure to indicate and represent the price moment of the sector. This kind of regular monitoring of the real estate prices may be fruitful input for the different stake holders like buyers, seller, mediators, developers, investors, banks, housing finance companies, FIIs, private equities, analysts and others in their decision-making process.


2020 ◽  
Vol 12 (6) ◽  
pp. 2206
Author(s):  
Kee Han Kim ◽  
Sang-Sub Jeon ◽  
Amina Irakoze ◽  
Ki-young Son

Recently, the importance of green building certification in consideration of environmentally friendly factors is being emphasized more when constructing buildings in South Korea. The Green Standard for Energy and Environmental Design (G-SEED) is one of the strategies used by the Korean government to effectively reduce building environmental loads. However, due to the large investment needed to acquire green building certification, building owners, stakeholders, and designers often contemplate how to balance G-SEED certification benefits and the additional costs they involve. Therefore, the purpose of this study was to assess the benefits of G-SEED certification in terms of post-occupancy financial advantages through a comparative analysis of real estate prices of apartments in the Yeongnam area. All of the major factors affecting apartment real estate prices in South Korea were considered, and the real estate price difference between G-SEED certified and non-certified apartments was determined through a one-sample t-test. The results demonstrated that G-SEED certified apartment real estate prices were 9.52% higher than non-certified apartments. This study concluded that G-SEED certification–related investment is worth the additional cost as it increases the real estate value of a building.


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