<title>Abstract</title> Spatial heterogeneity, spatial dependence and spatial scale constitute key features of spatial analysis of housing markets. However, the common practice of modelling spatial dependence as being generated by spatial interactions through a known spatial weights matrix is often not...

The proliferation of new information technologies throughout the world has raised some important questions for policymakers as to how developing countries can benefit from their diffusion. This important volume compares the advantages and disadvantages of the IT revolution through detailed...

type="main" <p>It is widely believed that setting monetary policy through a majority voting committee has major benefits. A monetary policy committee can take personalities out of monetary policy decisions. Critical to understanding these claims is an assessment of how such a committee functions....</p>

We propose forecasts of regional and local house prices based on estimates of a structural model that has several distinctive features. First, we model not only the endogenous relationship between housing prices and demand, but also microeconomic features of the market ñ in particular, the...

The expert contributors illustrate that sources of regional competitiveness are strongly linked with spatially observable yet increasingly flexible realities, and include building advanced and efficient transport, communications and energy networks, changing urban and rural landscapes, and...

‘Operating leverage’describes the extent to which a …Firm’s operating costs are fi…xed in the short term. Operating leverage ampli…es the earnings impact of a change in revenues; an effect which is further amplified by fi…nancial leverage and by non-proportionality in...

Socioeconomic characteristics, health behaviours, and the utilisation and quality of healthcare are prime examples of socioeconomic, cultural and demographic phenomena that are inherently spatial in nature. Understanding the spatial structure of these factors is particularly relevant in order to...

We develop a method for estimating the functional surface of a regression coefficient that varies over a complex spatial domain with irregular boundaries, peninsulas and interior holes. The method is motivated by, and applied to, data on housing markets, where the central object of inference is...

We compare two methods of motivating money in New Keynesian dynamic stochastic general equilibrium models-money-in-the-utility function and the cash-in-advance (CIA) constraint-as well as two ways of modelling monetary policy: the interest rate feedback rule and money growth rules. As an aid to...