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EN
This paper explores the effects of housing prices on income inequality in urban China. The authors use China's interprovincial panel data for the period between 1999 and 2011 and find that there is a significant positive association between housing prices and the Gini coefficient of the income of urban residents, and that there are remarkable regional disparities.
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Housing Price Volatility and Econometrics

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EN
Econometric models have produced contradictory results and have failed to provide warning of housing market crashes. The article aims to illustrate how econometrics was unable to reliably predict the recent housing price bubble and detect the disequilibrium in the housing markets. The authors will demonstrate that two distinct but well specified econometric models, using the same data, can lead to different outcomes. The authors argue that the demand for housing is influenced by social constructs, social norms, ideologies, unrealistic expectations, symbolic patterns, and that the actual choice of housing is the outcome of complex social interactions with reference groups. Consequently, it is necessary to analyse the potential instability of social constructs, norms, expectations and the changing character of social interactions to better understand purchasing behaviour and, then, housing price volatility.
EN
North to south migration in the U.S. and housing developers’ claims of benefits led to exponential growth in neighbourhood homeowners associations during recent decades. Sanctioned by state laws, association rules governing homeowners are usually initiated by developers who claim that the rules protect property values. But the claim is not supported by empirical analysis. Inflation adjusted annual percentage returns in consecutive sales of a sample of 900 most recent home sales in Duval County Florida, Pima County Arizona and St. Louis County Missouri during late 2017 and early-2018 were examined. The results revealed that the annual percentage returns on homes sold in homeowners associations were significantly less than those of homes in other neighbourhoods statistically controlling for property characteristics and prevailing economic conditions at the time of the original purchase. Correlates of home prices at any point in time are not predictive of percentage return from purchase to sale.
EN
The main purpose of the study is to verify the hypothesis on the occurrence of a long-term relationship between the average prices of 1m2 UFA (i.e. Usable Floor Area) and the construction costs of residential real estate per 1m2 for selected 5 cities of Eastern Poland (Białystok, Kielce, Lublin, Olsztyn & Rzeszów). The panel model for cointegrated variables and panel cointegration tests are the tools of the analysis. On the basis of the econometric model constructed, the long-term elasticity coefficient, which shows how average prices of flats change (i.e. the price of 1m2 UFA) in selected cities of Eastern Poland as a result of changes in their production costs, was estimated.
EN
House-building has been very intense in some European countries throughout the last 15 years but not in others. It has generated an expansion in the residential stock that has been explained as the result of some demand forces playing at the same time and boosting residential market mechanisms during this period. Although demand pressures have been similar across Europe, the new supply construction has reacted with distinct strength depending on the economies. This paper reviews the literature seeking for reasons to analyze the different reactions and the implication on house prices growth of development sector. It mainly classifies the literature between both the group that suggests stable supply elasticities in the short-long term and those sustaining that elasticities change dramatically, reflecting the developers reaction to market innovations. The differences in new housing supply responses across European countries remain a wide area for housing researchers to explain how housing prices react by region.
PL
Przez ostatnie piętnaście lat budownictwo mieszkaniowe w niektórych krajach europejskich rozwijało się bardzo intensywne, podczas gdy w innych nie. Przyczyniło się to do wzrostu zasobu mieszkaniowego, co wyjaśniono jako skutek popytu, odgrywającego w tym okresie znaczącą rolę w mechanizmach rynku mieszkaniowego oraz jednocześnie je pobudzającego. Chociaż siła popytu jest podobna w całej Europie, nowa struktura podaży zareagowała ze zdecydowanym natężeniem w zależności od ekonomii danego kraju. Niniejsza praca dokonuje przeglądu literatury, poszukując motywów różnych reakcji na wzrost cen domów w sektorze developerskim oraz konsekwencji tegoż wzrostu. Literaturę można podzielić na dwie grupy: tych autorów, którzy sugerują stabilną elastyczność podaży w krótkim / długim okresie czasu, oraz tych, którzy utrzymują, że elastyczność zmienia się dramatycznie, odzwierciedlając reakcję deweloperów na innowacje rynkowe. Różnice w reakcjach na podaż nowych mieszkań w krajach europejskich pozostają szerokim obszarem dla badaczy rynku mieszkaniowego chcących wyjaśnić, jak ceny mieszkań zmieniają się w zależności od regionu.
PL
W ciągu kilku ostatnich lat na polskim rynku nieruchomości miały miejsce gwałtowne zmiany. Znaczne fluktuacje cen uwidoczniły potrzebę wykorzystania nowych narzędzi do pomiaru zmian zachodzących na rynku nieruchomości mieszkaniowych. Większość pojawiających się w mediach opracowań opiera się na kalkulacji średniej, bądź też mediany ceny za mkw. powierzchni użytkowej. Powyższe miary nie odnoszą się w żaden sposób do jakości badanych dóbr, co z kolei jest atutem hedonicznych indeksów cen. W powyższym artykule posługując się przykładem Rzeszowa, zbadano użyteczność metod ze zmiennymi zero-jedynkowymi czasu dla obliczenia indeksu hedonicznego cen mieszkań, dla średniej wielkości rynków mieszkaniowych.
EN
Over the last few years there have been rapid changes on the Polish real estate market. Significant price fluctuations have emphasised the need for the implementation of new tools to measure changes in the housing market. Most of housing market articles which appear in the media are based on the calculation of average or median prices per sqm. However, these measures do not include the quality adjustment of tested goods, which in turn is an advantage of hedonic price indices. In the paper, the application of the time dummy variable methods for calculating the hedonic index of housing prices was examined, using the data for the city of Rzeszów.
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