regard to the Viennese apartment market. The spatial analysis suggests that the apartment prices are spatially autocorrelated …

compared with other crises, prices are showing greater downward rigidity, particularly in the case of new housing, although the … type of housing in demand, attributable to households’ new needs arising from the lockdown and increased remote working. As … cost of financing for house purchase which has continued to decline to record lows. Nevertheless, there are some signs of a …

Purpose – Since 2000 house prices have risen much more rapidly than rents. This has resulted in questions being raised … determine if changes in private sector residential rents can be used to forecast changes in New Zealand house prices. The … markets and the same effect is likely to be true for housing. Design/methodology/approach – The relationship between changes …

Purpose – The aim of this study is to investigate why housing prices differ between regions, and to estimate the speed …‐of‐adjustment. Design/methodology/approach – A variety of factors explains the differences in the prices of single‐family houses. Changes in … DiPasquale and Wheaton model where the developments of the house prices are a function of macroeconomic factors such as economic …

‐spatial difference of housing prices between the two neighboring cities are studied by using a two‐workplace residential location choice …, travel between two workplaces is becoming more and more common. This paper therefore aims to study the housing price gradient … model. Findings – This paper found that housing price gradient from Macau to Hong Kong is flattened when more non …

‐storey residential buildings affected the sale prices of these properties based on an analysis of panel data in Hong Kong. Design … that additional information pumped into the housing market could alter the price gradient between high‐quality and low … aims to examine whether the blacklisting exercise brought about negative impacts on the sale prices of the affected …