scholarly journals Developments and convergence of real housing prices in Poland during the COVID-19 pandemic: focus on voivodeship capitals

2021 ◽  
pp. 111-124
Author(s):  
Arkadiusz Weremczuk ◽  
Michał Wielechowski ◽  
Joanna Wrzesińska-Kowal

The paper aims to present and assess the changes in real housing prices in Poland during the COVID-19 pandemic. We analyse transaction prices of residential premises in a multi-family housing (apartments) in the primary and secondary markets within 16 administrative capitals of voivodeships. We use quarterly data on House Prices Database collected by the National Bank of Poland and data on quarterly price indices of consumer goods and services from Statistics Poland. The research period covers the period 2018-2021, with distinction into COVID-19- and pre-COVID-19 periods. We observe the highest housing prices in Warszawa, Gdańsk, Kraków, and Wrocław, while the lowest in Zielona Góra and Kielce. Surprisingly, the growth rate in real housing prices in the pandemic sub-period is lower than in corresponding pre-COVID-19 period. In the COVID-19 sub-period, we observe the most significant increases in real estate prices in Zielona Góra and Szczecin in the primary market, and Kraków, Lublin, and Łódź in the secondary market. Additionally, we reveal the existence of regional price convergence in the housing market in analysed cities, both in primary and secondary markets. However, we do not observe a common price convergence, but only convergence clubs (city-groups) where the housing prices tend to converge in the COVID-19 sub-period.

2019 ◽  
Vol 27 (4) ◽  
pp. 62-73 ◽  
Author(s):  
Mateusz Tomal

Abstract The aim of this study is to identify whether there is a common house price trend across provincial capitals in Poland. The log t regression is the main method of analysis. Additionally, traditional convergence tests based on the concepts of β- and σ-convergence are used. The obtained results indicate that the cities do not share a common price in the long-run. There are, however, convergence clubs on both primary and secondary markets. In each club, house prices across cities tend to converge to their own steady state. Moreover, research on the driving forces of convergence reports that factors affecting housing prices differ among the clubs. Therefore, policymakers should adjust housing policies in accordance with the characteristics of a given club. In turn, the σ-convergence model demonstrated a very interesting finding, namely, a U-shape pattern of convergence, both on the primary and secondary markets. This pattern is strictly correlated with the level of prices on the markets.


2013 ◽  
Vol 17 (2) ◽  
pp. 188-198 ◽  
Author(s):  
Roula Inglesi-Lotz ◽  
Rangan Gupta

This paper investigates whether house prices provide a suitable hedge against inflation in South Africa by analysing the long-run relationship between house prices and the prices of non-housing goods and services. Quarterly data series are collected for the luxury, large middle-segment, medium middle-segment, small middle-segment and the entire middle segment of house prices, as well as, the consumer price index excluding housing costs for the period 1970:Q1–2011:Q1. Based on autoregressive distributed lag (ARDL) models, the empirical results indicate long-run cointegration between the house prices of all the segments and the consumer price index excluding housing costs. Moreover, the long-run elasticity of house prices with respect to prices of non-housing goods and services, i.e., the Fisher coefficient is greater than one for the luxury segment, virtually equal to one for the small middle-segment, and less than one for the large and medium middle-segments, as well as the affordable segments. More importantly though, the estimated Fisher coefficients are not statistically different from unity – a result consistent with the proposed theoretical framework relating housing prices and consumer prices excluding housing expenditure. In general, we infer that house prices in South Africa provide a stable inflation hedge in the long-run.


2020 ◽  
Vol 28 (2) ◽  
pp. 13-20
Author(s):  
Mateusz Tomal

AbstractThe aim of this study is to assess whether significant spillovers exist among house price convergence clubs in the Polish housing market. This paper is a continuation of my previous research on house price convergence in Poland. In order to achieve the defined goal, VAR modelling was used. Based on the results of the VAR model, impulse response functions (IRFs) and the Spillover Index were calculated. The obtained results indicate that spillovers in the Polish housing market are strong. The relationships are observed both inside the primary and secondary markets and between them. In particular, a very powerful influence is exerted from a club of cities from the primary market, consisting of Cracow, Warsaw, Gdańsk, Poznań, Rzeszów and Wrocław, on the remaining identified house price convergence clubs.


2019 ◽  
Vol 16 (1) ◽  
pp. 91-97
Author(s):  
Marta Martyniak

Abstract Research purpose. Housing availability indicator shows the area of residential real estate possible to purchase for the average monthly wage in the enterprise sector. The research carried out in this paper is aimed at determining the current level of housing availability indicator and its detailed analysis, taking into account the dynamics of changes in 2006 to 2018. This analysis will be carried out for primary and secondary market for selected Polish cities. Design/Methodology/Approach. Calculations were based on the average transaction prices obtained from the transactional database of residential real estate of the National Bank of Poland and the value of the average monthly remuneration in the enterprise sector obtained partly from statistical data and official journals of the Central Statistical Office. Findings. The analysis shows that the indicator of housing availability in Poland, despite the visible upward trend, is at a very low level, placing Warsaw at the first place. In addition, the extension of the analysis to the division of the housing market into the primary and secondary market provided more information about shaping the housing availability indicator. Whereas in the primary market in individual cities its value was at a similar level, the secondary market was subject to greater fluctuations. Originality/Value/Practical implications. This paper is of practical nature. Due to the asymmetry of information on the Polish real estate market, especially regarding housing prices, knowledge about the value of the housing availability indicator in Poland may be exceptionally valuable, especially for people interested in the housing market, including individual investors and market practitioners, as an auxiliary source of information in purchasing decisions of households.


2019 ◽  
Vol 6 (11) ◽  
pp. 268-287
Author(s):  
John Kwame Adu Jack ◽  
Frimpong Okyere ◽  
Emmanuel K. S. Amoah

This study aims to find out whether exchange rate volatility affects real estate domestic house prices in Ghana. To this end, a 32 years secondary data from World Development Indicators (WDI) and data from Real Estate Developers in Ghana are employed for the study. The study employs Autoregressive distributed lags (ARDL) bounds testing of cointegration t o test the null hypothesis that exchange rate volatility has n o impact on real estate housing prices. The study finds that real estate price is cointegrated with remittances, exchange rate and inflation. The long run equilibrium is stable and significant. Exchange rates d o not cause changes in real estate prices in both short and long run. Similarly past prices of real estate d o not have impact on current house prices.  Rather, remittances positively cause real estate prices. Inflation on its part has a negative impact on real estate prices. It is therefore concluded that, volatility in the exchange rate between the cedi and other trading currencies does not predict changes in real estate prices.


2014 ◽  
Vol 22 (1) ◽  
pp. 69-76
Author(s):  
Józef Hozer ◽  
Anna Gdakowicz

Abstract The average price of residential real estate offered on the housing market in Szczecin has been declining since 2008. Prices on both the primary and secondary markets were regularly adjusted, disregarding the fact that the cost of 1 square meter of newly built flats was rising. Therefore, the question of how low can prices fall for the market to remain profitable arises? The situation on the residential real estate market has been analyzed in four areas: on the primary and secondary market, as well as by offer and transaction prices. The study was conducted in Szczecin on a quarterly basis in the period of 2007-2012.


2013 ◽  
Vol 21 (1) ◽  
pp. 39-48 ◽  
Author(s):  
Iwona Dittmann

Abstract The paper presents the results of a comparison of the development of mean offer and transaction prices per 1m2 in primary and secondary residential real estate markets in 16 provincial capital cities in Poland, during the time period from the 3rd quarter of 2006 to the 3rd quarter of 2012. The quarterly data came from the residential real estate price database of the National Bank of Poland (NBP). The research concerns the dependencies in the residential real estate market between the following four price categories: offer prices in the primary market, transaction prices in the primary market, offer prices in the secondary market and transaction prices in the secondary market. For each city, the dynamics of each price category per 1m2, the existence of a linear correlation between the individual mean price categories in chosen subintervals and their convergence and variability in time were studied and compared.


2021 ◽  
pp. 135481662110088
Author(s):  
Sefa Awaworyi Churchill ◽  
John Inekwe ◽  
Kris Ivanovski

Using a historical data set and recent advances in non-parametric time series modelling, we investigate the nexus between tourism flows and house prices in Germany over nearly 150 years. We use time-varying non-parametric techniques given that historical data tend to exhibit abrupt changes and other forms of non-linearities. Our findings show evidence of a time-varying effect of tourism flows on house prices, although with mixed effects. The pre-World War II time-varying estimates of tourism show both positive and negative effects on house prices. While changes in tourism flows contribute to increasing housing prices over the post-1950 period, this is short-lived, and the effect declines until the mid-1990s. However, we find a positive and significant relationship after 2000, where the impact of tourism on house prices becomes more pronounced in recent years.


2021 ◽  
pp. 0308518X2198894
Author(s):  
Peter Phibbs ◽  
Nicole Gurran

On the world stage, Australian cities have been punching above their weight in global indexes of housing prices, sparking heated debates about the causes of and remedies for, sustained house price inflation. This paper examines the evidence base underpinning such debates, and the policy claims made by key commentators and stakeholders. With reference to the wider context of Australia’s housing market over a 20 year period, as well as an in depth analysis of a research paper by Australia’s central Reserve Bank, we show how economic theories commonly position land use planning as a primary driver of new supply constraints but overlook other explanations for housing market behavior. In doing so, we offer an alternative understanding of urban housing markets and land use planning interventions as a basis for more effective policy intervention in Australian and other world cities.


Author(s):  
James Todd ◽  
Anwar Musah ◽  
James Cheshire

Over the course of the last decade, sharing economy platforms have experienced significant growth within cities around the world. Airbnb, which is one of the largest and best-known platforms, provides the focus for this paper and offers a service that allows users to rent properties or spare rooms to guests. Its rapid growth has led to a growing discourse around the consequences of Airbnb rentals within the local context. The research within this paper focuses on determining impact on local housing prices within the inner London boroughs by constructing a longitudinal panel dataset, on which a fixed and random effects regression was conducted. The results indicate that there is a significant and modest positive association between the frequency of Airbnb and the house price per square metre in these boroughs.


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