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This study aims to examine the impact of relative importance of local characteristics, distance from the city centre and unobservable spatial relation in explaining values of constant‐quality apartment units in Vienna.

Drawing on recent developments in spatial econometrics and spatial hedonic house price modelling, the rent gradient hypothesis is examined by means of hedonic regression and spatial hedonic regression. Spatial autocorrelation tests are applied in order to assess possible presence of spatial dependence. The authors borrow Florax et al.'s specification search strategy in order to choose the most appropriate spatial model specification.

This research shows that local characteristics – or particularities – proxied by district and distance from the city centre are important location variables with regard to the Viennese apartment market. The spatial analysis suggests that the apartment prices are spatially autocorrelated and the Viennese apartment market has a distance‐based neighbourhood structure. The main finding is, however, that residents are willing to bid more for constant‐quality apartment units that are close to the centre of the city.

Rent gradient hypothesis is usually tested within non‐spatial hedonic frameworks: this study estimates a spatial hedonic model additionally in order to allow for comparison of results. This is also the first article to apply recent developments in spatial econometrics to examine explicitly rent gradient theory in the context of the Viennese apartment market.

Survey′s the impact of the Mass Transit Railway (MTR) on office rental structures and locations in Hong Kong. Follows up earlier work by Gareth Williams on Mass Rapid Transport (MRT). Reports that the results falsify the commonsense theory that improvement in accessibility would reduce the relative primacy of the Central Business Districts (CBD) as an office centre. Concludes that attempts by strategic planners to implant high‐grade offices in off‐CBD locations along the MTR line need serious reconsideration.

Accounting for locational effects in determining price is of fundamental importance. The demise of the mainstream property market has culminated in increasing appetite and investment activity within the private rental sector. The primary purpose of this paper aims to analyse the local variation and spatial heterogeneity in residential rental prices in a large urban market in the UK using various geo-statistical approaches.

Applying achieved price data derived from a leading internet-based rental agency for Belfast Northern Ireland is analysed in a number of spatially based modelling frameworks encompassing more traditional approaches such as hedonic regressive models to more complex spatial filtering methods to estimate rental values as a function of the properties implicit characteristics and spatial measures.

The principal findings show the efficacy of the geographically weighted regression (GWR) technique as it provides increased accuracy in predicting marginal price estimates relative to other spatial techniques. The results reveal complex spatial non-stationarity across the Belfast metropole emphasizing the premise of location in determining and understanding rental market performance. A key finding emanating from the research is that the high level of segmentation across localised pockets of the Belfast market, as a consequence of socio-political conflict and ethno-religious territoriality segregation, requires further analytical insight and model specification in order to understand the exogenous spatial and societal effects/implications for rental value.

This study is one of only a few investigations of spatial residential rent price variation applying the GWR methodology, spatial filtering and other spatial techniques within the confines of a UK housing market. In the context of residential rent prices, the research highlights that a soft segmentation modelling approaches are essential for understanding rental gradients in a polarised ethnocratic city.

The objective of this paper is to re‐appraise intra‐urban rent models in the context of a multi‐nodal landscape. Primarily, the study focuses on the early work of Alonso and, more recently, Di Pasquale and Wheaton. Although the latter use a more sophisticated approach, both models lead to similar outputs, notably a declining rent gradient from the central business district (CBD). However, throughout the twentieth century there has been a considerable process of urban industrial change. Di Pasquale and Wheaton recognise this and argue that this has led to an almost flat industrial rent gradient.

To assess the current impact on industrial rents a hedonic rent regression model is applied which enables us to standardise for property characteristics.

The results support the hypothesis that the rent gradient from the CBD for a large city is still downward‐sloping, albeit very shallow. More interesting is the significance of proximity to motorway junctions. The analysis supports the hypothesis of a multi‐nodal rent surface. Proximity to a motorway junction is the most important locational variable with a much steeper and negative gradient than that to the CBD, albeit over a shorter distance.

These results imply that the draw of the CBD in terms of agglomeration economies and its accessibility to labour for a city the size of Glasgow still remains, but its attractions are much denuded with the development of a national motorway network.

This study aims to identify the pandemic’s impact on house rents by applying a rental gradient analysis to compare the pre-and post-COVID-19 periods in Auckland. The micro-level household census data from the Integrated Data Infrastructure of Statistics New Zealand is also applied to scrutinise this WFH trend as a robustness check.

Since the outbreak of COVID-19, work-from-home (WFH) and e-commerce have become much more common in many cities. Many news reports have contended that households are leaving city centres and moving into bigger and better houses in the suburbs or rural areas. This emerging trend has been redefining the traditional theory of residential location choices. Proximity to central business district (CBD) is no longer the most critical consideration in choosing one’s residence. WFH and e-commerce flatten the traditional bid rent curve from the city centre.

The authors examined micro-level housing rental listings in 242 suburbs of the Auckland Region from January 2013 to December 2021 (108 months) and found that the hedonic price gradient models suggest that there has been a trend of rental gradient flattening and that its extent was almost doubled in 2021. Rents are also found to be increasing more in lower-density suburbs.

The results imply that the pandemic has accelerated the trend of WFH and e-commerce. The authors further discuss whether the trend will be a transient phenomenon or a long-term shift.

Suppose an organisation is concerned about productivity and performance issues due to a companywide ability to WFH. In that case, some standard key performance indicators for management and employees could be implemented. Forward-thinking cities need to focus on attracting skilful workers by making WFH a possible solution, not by insisting on the primacy of antiquated nine-to-five office cultures.

WFH has traditionally encountered resistance, but more and more companies are adopting WFH policies in this post-COVID era. The early rental gradient and the micro-level household data analysis all confirm that the WFH trend is emerging and will likely be a long-term shift. Instead of resisting the change, organisations should improve their remote work policies and capabilities for this WFH trend.

So far, empirical studies of post-COVID urban restructuring have been limited. This study aims to empirically test such an urban metamorphosis by identifying the spatial and temporal impacts of COVID on house rental gradients in the Auckland Region, New Zealand. The authors apply rental gradient analysis to test this urban restructuring hypothesis because the method considers the spatial-temporal differences, i.e. a difference-in-differences between pre-and post-pandemic period against the distance measured from the city centre. The method can control for the spatial difference and the endogeneity involved.

The purpose of the paper is to investigate a cross section of Hungarian settlement-level unit housing prices with a special emphasis on measuring the effect of population and its growth, along with accessibility to the centre of an aggregated spatial unit such as a micro-region, county or region, for the period of 2001-2011.

The analysis uses cross-sectional ordinary least squares techniques with Moulton-corrected standard errors. The estimation is guided by the implications of a simplified monocentric urbanized area framework following the model of DiPasquale and Wheaton (1996), and the econometric model is augmented with population growth rate at the settlement level to bridge the theory explaining rents and data base containing prices instead.

The location is a key factor in determining housing prices: living 10 min further from the centre results in 11 per cent cheaper housing. When estimating bid-rent curves, results show that it is crucial to control for city size and the income effect. The elasticity of housing price with respect to city size is 0.09 according to our preferred model. Population growth has an asymmetric impact on housing prices: municipalities with positive expected population growth have higher prices today.

Estimating the quantitative relationship between commuting time and housing price is crucial for a cautious infrastructure development. The benefits of improved roads and faster access could be capitalized in appreciating the housing stock. Estimating the slope of the bid-rent curve is one possible ex ante quantification of the benefits of a public development.

One contribution of this research is providing empirical evidence to surprisingly limited applied work in the field of (monocentric) urban models using data from the CEE region. Second, to the best of the authors’ knowledge, this is the first study to investigate Hungarian settlement-level unit prices from an urban economic point of view.

Modernization of a railway line connecting the urban and sub‐urban areas will normally result in a shift of the population from urban to suburban areas. This will affect the price gradient of residential prices of two connected stations on the railway line. The actual effect cannot be theoretically deduced. Results of empirical studies in the past are not conclusive. Lack of good quality data is one of the many reasons. This paper seeks to contribute to the understanding of this issue by a case study in Hong Kong. The KCR (Kowloon‐Canton Railway) runs from the CBD of Hong Kong to its sub‐urban area. Since August 1982, the trains have been powered by electricity instead of diesel. The modernization of the KCR has greatly improved its speed and capacity and has contributed to major improvement in public transportation between the urban and suburban areas. To assess the effects of this change, the price gradient of residential units between an urban and a sub‐urban station will be estimated from transaction records of properties in these two chosen locations on the railway line. Price influencing effects are controlled either by including them in the model, restricted sampling or other adjustment techniques. This method allows the net change in the price gradient before and after the improvement to be assessed. The results strongly suggest that improvement in public transportation have a negative effect on the price gradient along the railway line.

The purpose of this paper is to analyze the effects of Swedish rent controls on observed vacancy rates for rental housing.

Housing vacancy rates are unevenly distributed among Swedish municipalities. In large expansive municipalities, such as Malmö, Göteborg and Stockholm, vacancy rates are very low, while in declining or smaller municipalities such as those in the northern and interior parts of Sweden, vacancy rates are considerably higher. This implies welfare losses not only in growing municipalities with queues for rental apartments but also in municipalities that are shrinking since the controlled rents there are higher than market rents and cause higher vacancy rates than with market rents. The authors estimate the influences of various determining factors, such as population growth, population size, rent levels, construction, demolition and market orientation of rents, on the observed vacancy rates.

The authors find that that these factors affect the vacancy rates differently depending on whether a municipality is large or small, growing or shrinking. Population growth, in percent per year, plays an important role in explaining the observed vacancy rates in declining regions.

A research task that remains to be done is to calculate the welfare losses due to rent higher than the market rent for municipalities in contraction.

To reduce the welfare losses of rent control, both in expanding and contracting municipalities, economists' straightforward recommendation to deregulate the rent control should, in principle, be carried out.

In many countries, rent control regulations are limited to cities, such as New York City. The paper shows that the Swedish rent control system however, applies nationwide, except for annual rent increases, which are set locally through negotiation.

This paper explores whether the spread of air conditioning in the United States from 1960 to 1990 affected quality of life in warmer areas enough to influence decisions about where to live, or to change North-South wage and rent differentials. Using measures designed to identify climates in which air conditioning would have made the biggest difference, I found little evidence that the flow of elderly migrants to MSAs with such climates increased over the period. Following Roback (1982), I analyzed data on MSA wages, rents, and climates from 1960 to 1990, and find that the implicit price of these hot summer climates did not change significantly from 1960 to 1980, then became significantly negative in 1990. This contrary to what one would expect if air conditioning made hot summers more bearable. I presented evidence that hot summers are an inferior good, which would explain part of the negative movement in the implicit price of a hot summer, and evidence consistent with the hypothesis that the marginal person migrating from colder to hotter MSAs dislikes summer heat more than does the average resident of a hot MSA, which would also exert downward pressure on the implicit price of a hot summer.