In the paper, we analysed the impact of proximity to urban green areas on apartment prices in Warsaw. The data-set contained in 43 075 geo-coded apartment transactions for the years 2010 to 2015. In this research, the hedonic method was used in Ordinary Least Squares (OLS), Weighted Least Squares (WLS) and Median Quantile Regression (Median QR) models. We found substantial evidence that proximity to an urban green area is positively linked with apartment prices. On an average presence of a green area within 100 meters from an apartment increases the price of a dwelling by 2,8% to 3,1%. The effect of park/forest proximity on house prices is more significant for newer apartments than those built before 1989. We found that proximity to a park or a forest is particularly important (and has a higher implicit price as a result) in the case of buildings constructed after 1989. The impact of an urban green was particularly high in the case of a post-transformation housing estate. Close vicinity (less than 100 m distance) to an urban green increased the sales prices of apartments in new residential buildings by 8,0–8,6%, depending on a model.

Abstract:In the paper, we analyzed the impact of aircraft noise on housing prices. We used a dataset containing geo-coded transactions for 1328 apartments and 438 single-family houses in the years 2010 to 2015 in Poznan. In this research, the hedonic method was used in OLS (ordinary least squares), WLS (weighted least squares), SAR (spatial autoregressive model) and SEM (spatial error model) models. We found strong evidence that aircraft noise is negatively linked with housing prices, which is in line with previous studies in other parts of the world. In our research, we managed to distinguish the influence of aircraft noise on different types of housing. The noise depreciation index value we found in our study was 0.87% in the case of single-family houses, and 0.57% regarding apartments. One of the reasons for the difference in the level of impact of aircraft noise may be the fact that the buyers of apartments may be less sensitive to aircraft noise than the buyers of single-family houses.

In this study, we analyse the impact of COVID-19 on house rents and prices in Warsaw, the capital of Poland. Hedonic indexes indicate a slight increase in prices (ca. 1.2%) and a substantial drop in long-term rents (ca. -7.7%) between March 2020 and December 2020. The largest decline in rents occurred in centrally located neighbourhoods, which was largely due to the inflow of new housing supply from the short-term rental market (the Airbnb Warsaw market shrank by almost 30% in December 2020 y/y). Using hedonic methods, we show the effect of the shrinking Airbnb market on the drop in long-term rents. The study indicates the elasticity of rents with respect to Airbnb supply, with a 1% change in Airbnb listings leading to a 0.031% change in rents.

Demographic changes, manifested in the ageing of society are one of the significant challenges of contemporary Europe. As senior citizens will represent the increasingly large part of the society, it seems necessary to look more broadly at the needs of this group. What is one of the fundamental needs of every human being is the need of accommodation. The existing body of literature does not provide a sufficient number of studies of seniors' housing needs. Most Polish studies concerning the characteristics of this group of buyers and their preferences regarding the housing market are qualitative. They are usually purposive sample surveys the purpose of which is to identify the profile and preferences of prospective buyers. In most cases, they concern seniors' preferences regarding new housing products (socalled senior housing). In this paper, we undertook to identify senior buyers' revealed preferences in the secondary housing market in Poznań. To this end, we collected information on transactions concluded in the abovementioned market in the years 2010-2016. The base was supplemented with data from land and mortgage registers (information about the gender and age of buyers, and the method of financing the purchase of a property), data from the Register of Land and Buildings and with the use of Google Street View. In different sections of the paper, we included an overview of literature concerning methods of the analysis of consumer preferences and studies of housing preferences, we discussed research methods and sources of data, and finally, we presented the research findings and conclusions.

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