Any attempt to measure the impact of the 9/11 attacks is faced with the difficulty of separating the effects of the attacks from the impact of a wider economic recession and other simultaneous events. This study attempts to isolate the effect on New York office rental and vacancy rates by...

Purpose – The purpose of this paper is to investigate the relationships between supply and demand in 19 European office markets in the period 1991‐2006. It estimates the variations in the price elasticity of supply across the different markets. The paper tests whether developers display...

This paper investigates whether energy performance ratings, as measured by mandatory Energy Performance Certificates (EPCs), are reflected in the sale prices of residential properties. This is the first large-scale empirical study of this topic in England involving 333,095 dwellings sold at...

Purpose – Given the centrality of data and information to the evaluation and operation of policies to reduce carbon emissions, the purpose of this paper is to investigate potential sources of data within in the UK on the commercial building stock in terms of its physical characteristics,...

Purpose – Expectations of future market conditions are acknowledged to be crucial for the development decision and hence for shaping the built environment. The purpose of this paper is to study the central London office market from 1987 to 2009 and test for evidence of rational, adaptive and...

Purpose – This paper aims to investigate the effect of corporate social responsibility (CSR) ratings on the ex ante cost of capital of more than 2,300 listed US companies in a panel from 2003 to 2010. It examines whether financial markets value continuous investment in CSR activities through...

Purpose – The purpose of this paper is to investigate the effect of the crisis on the pricing of asset quality attributes. This paper uses sales transaction data to examine whether flight from risk phenomena took place in the US office market during the financial crisis of 2007-2009....

While Machine Learning (ML) excels at predictive tasks, its inferential capacity is limited due to its complex non-parametric structure. This paper aims to elucidate the analytical behavior of ML through Interpretable Machine Learning (IML) in a real estate context. Using a hedonic ML approach...