scholarly journals THE INFLUENCE OF SHORT-TERM RENTAL ON RENTAL HOUSING PRICES IN PRAGUE

Author(s):  
Sandra Bestakova
2020 ◽  
Vol 12 (18) ◽  
pp. 7520
Author(s):  
Hyunsoo Kim ◽  
Youngwoo Kwon ◽  
Yeol Choi

Providing adequate public rental housing (PRH) of a decent quality at a desirable location is a major challenge in many cities. Often, a prominent opponent of PRH development is its host community, driven by a belief that PRH depreciates nearby property values. While this is a persistent issue in many cities around the world, this study proposed a new approach to assessing the impact of PRH on nearby property value. This study utilized a machine learning technique called long short-term memory (LSTM) to construct a set of housing price prediction models based on 547,740 apartment transaction records from the city of Busan, South Korea. A set of apartment characteristics and proximity measures to PRH were included in the modeling process. Four geographic boundaries were analyzed: The entire region of Busan, all neighborhoods of PRH, the neighborhoods of PRH in the “favorable,” and the “less favorable” local housing market. The study produced accurate and reliable price predictions, which indicated that the proximity to PRH has a meaningful impact on nearby housing prices both at the city and the neighborhood level. The approach taken by the study can facilitate improved decision making for future PRH policies and programs.


2016 ◽  
Vol 06 (04) ◽  
pp. 1650013 ◽  
Author(s):  
Yevgeny Mugerman ◽  
Moran Ofir ◽  
Zvi Wiener

Housing is the most important asset in the portfolio of most households. Understanding the households’ decision on housing finance has important implications from a policy perspective, due to the effects it may have on the housing prices, on the housing market stability and on household welfare. The theoretical literature on housing finance focused on figuring out the optimal choice between fixed rate mortgages (FRMs) and adjustable rate mortgages (ARMs). We argue that the standard economic criteria are sometimes inadequate to explain household’s choices, which may be motivated by psychological factors. In other words, we claim that household’s choice depends only partially on the findings of the theoretical literature. We examine the effect of changes in the short-term market interest rate on the households’ choice between FRMs and ARMs. We test this effect using a unique data provided to us by the Bank of Israel, which contains detailed information on the household’s decision between FRM and ARM contracts in Israel in the past decade. The results of our analysis demonstrate a significant association between FRM preference and short-term interest rate reduction. Moreover, we find that the change in the short-term interest rate is more salient to the borrowers in periods of a high interest rate environment. We attribute these findings to Tversky and Kahneman (1974) availability and representativeness heuristics.


2018 ◽  
Vol 83 ◽  
pp. 148-156 ◽  
Author(s):  
Chiwei Su ◽  
Xiaocui Yin ◽  
Ran Tao ◽  
Oana-Ramona Lobonţ ◽  
Nicoleta-Claudia Moldovan

2018 ◽  
Vol 10 (6) ◽  
pp. 180
Author(s):  
Dan Saar ◽  
Yossi Yagil

In this study, we predict changes in specific segments of economic growth including the unemployment rate, the housing prices and changes in personal consumption by employing corporate and government bonds. Our hypothesis is that the use of yield curves of corporate bonds will improve the predictions over previous models that used only the yield curves of government bonds. Our results support that contention. We find that corporate bonds’ spreads actually help predicting the changes in both the unemployment rate and housing prices. We also find a significant positive relationship between bond spreads and future changes in personal consumption levels, but the results are weaker than in the other two segments. One additional finding worth noting is that government bonds are better predictors for the long-term, whereas corporate bonds are better indicators for the short-term.


Author(s):  
Kath Hulse ◽  
Margaret Reynolds ◽  
Christian Nygaard ◽  
Sharon Parkinson ◽  
Judith Yates
Keyword(s):  

2016 ◽  
Vol 12 (6) ◽  
pp. 61 ◽  
Author(s):  
Yaghoob Zanganeh ◽  
Alireza Hamidian ◽  
Hosseinali Karimi

<p class="a"><span lang="EN-US">The settlement of the immigrants, especially foreign immigrants in different cities and city areas has a major influence in shaping and changing socio-spatial structure of these areas. Mashhad has been the target of a large number of Afghan refugees in the past decades (160 thousand people). The initial settlement of immigrants in marginal areas of the city and residential mobility in the early settlement has obvious consequences on the social and spatial structure of different areas targeted by the immigrants. This study aimed to analyze the factors affecting the residential mobility of Afghan refugees residing in districts 4, 5 and 6 of Mashhad- Iran. The research was a survey type and the required data were gathered by field studies using questionnaires and library. The results of this study suggests that a major portion Afghan immigrant (86%) have been settled at the beginning of their arrival to Mashhad in marginal areas and slums including, Golshahr, Panj-tan, Ghaleh Sakhteman and Tollab. In the initial settlement of immigrants in the mentioned places factors such as proximity to fellow coreligionists and affordable rental housing prices are crucial. In terms of residential mobility, 45.7% of immigrant families have changed their location at least once in Mashhad. The highest residential mobility has taken place in the Golshahr areas (28.1%) and Panj-tan (28.1%). Family residential mobility between regions existed in smaller and restricted scale. The stated reasons and motives in relation to residential mobility of immigrants are different in the later stages after primary residence. Generally the factors of insecurity and lack of resources and utilities, improved financial condition and ability to buy a better house, ethnics and religion inconsonance and the tenant conditions are among the reasons stated by the refugees for changing their residence.</span></p>


2020 ◽  
Vol 12 (15) ◽  
pp. 6090 ◽  
Author(s):  
Dan Luo ◽  
Harry van der Heijden ◽  
Peter J. Boelhouwer

The management of the public rental sector has undergone tremendous change worldwide. Especially in China, given the large supply of public rental housing (PRH) in the short term, the management of PRH (PRHM) has been faced with a series of problems. The existing PRHM is unsustainable and a new scheme has been proposed. In this study we analyze whether this new scheme can solve the former management problems and achieve the reform objectives, so as to explore whether the new scheme can really improve the PRHM. We analyzed the new policy, contracts and bidding documents of 19 pilot projects and interviewed some implementation staffs. We found that the well-intended policy mainly proposed three measures: government procurement, new financial arrangement and guided service contents; but that these measures lack specific financial support. Furthermore, there are very few projects that involve full implementation; most of the projects employed a compromise strategy. In general, the new scheme made progress towards solving some of the existing problems, so even if it is selectively implemented, it is still likely to achieve the reform objectives.


2022 ◽  
Vol 132 ◽  
pp. 01024
Author(s):  
Petr Junga ◽  
Radka Smolinská ◽  
Tomáš Krulický ◽  
Veronika Machová

The aim of the paper is an application of the basic principles in determining rental housing prices and factors that may affect them. In the experimental part, an analysis of rental housing in the city of Brno is performed for the 2020 – 2021 period affected by the covid-19 pandemic. The analysis is processed for individual city districts and divided according to apartment layout. Finally, all outputs are compared and the real estate market development is determined with a focus on the biggest changes and their occurrence.


Sign in / Sign up

Export Citation Format

Share Document