This paper extends a new line of research on urban squatting that focuses on the role of the squatter organizer. The model replaces the benevolent organizer from previous studies with a collection of competing, rent-seeking squatter organizers, a structure that may offer a realistic picture of...

We develop a dynamic spatial model in which heterogeneous workers are imperfectly mobile and forward-looking and yet all structural fundamentals can be inverted without assuming that the economy is in a stationary spatial equilibrium. Exploiting this novel feature of the model, we show that the...

Cities around the world are experiencing unprecedented vertical growth. Yet, the economics of skyscrapers remain empirically understudied. This paper analyzes the determinants of the urban height profile by combining a micro-geographic data set on tall buildings with a unique panel of land...

Cities around the world are experiencing unprecedented vertical growth. Yet, the economics of skyscrapers remain empirically understudied. This paper analyzes the determinants of the urban height profile by combining a micro-geographic data set on tall buildings with a unique panel of land...

This paper extends a new line of research on urban squatting that focuses on the role of the squatter organizer. The model replaces the benevolent organizer from previous studies with a collection of competing, rent-seeking squatter organizers, a structure that may offer a realistic picture of...

We introduce a novel quantitative methodology to detect real estate bubbles and forecast their critical end time, which we apply to the housing markets of China's major cities. Building on the Log-Periodic Power Law Singular (LPPLS) model of self-reinforcing feedback loops, we use the quantile...

This paper examines persistence in price movements and predictability of the US housing market both on a local level across 20 cities in the US and on a nationwide level. We use a time series approach instead of often applied multivariate approaches to exclude potential biases across markets and...

This paper extends the analysis of predictability and persistence of inflation-adjusted house price movements in the UK housing market both on a regional level across 13 regions and on a nationwide level. Applying a univariate time series approach, the results from the quarterly...

We construct daily house price indexes for ten major U.S. metropolitan areas. Our calculations are based on a comprehensive database of several million residential property transactions and a standard repeat-sales method that closely mimics the procedure used in the construction of the popular...

This study examines the impact of sentiment shock, which is defined as a stochastic innovation to the Housing Market Confidence Index (HMCI) that is orthogonal to past housing price changes, on aggregate housing price changes and housing price volatility. This paper documents empirical evidence...