I find that high home-buying costs for a typical household, relative to a cumulative city-level average, help to predict downward pressure on future real house price growth at a 1-year horizon for Canadian cities over the 1980q1 to 2016q2 sample period. This insight is relevant for broader...

This paper predicts downside risks to future real house price growth (house-prices-at-risk or HaR) in 32 advanced and emerging market economies. Through a macro-model and predictive quantile regressions, we show that current house price overvaluation, excessive credit growth, and tighter...

This paper presents a parsimonious model for forecasting and analysing euro area house prices and their interrelations with the macroeconomy. A quarterly vector error correction model is estimated over 1970-2009 using supply and demand forces central to the determination of euro area house...

This paper presents a parsimonious model for forecasting and analysing euro area house prices and their interrelations with the macroeconomy. A quarterly vector error correction model is estimated over 1970-2009 using supply and demand forces central to the determination of euro area house...

This paper presents a parsimonious model for forecasting and analysing euro area house prices and their interrelations with the macroeconomy. A quarterly vector error correction model is estimated over 1970-2009 using supply and demand forces central to the determination of euro area house...

This paper defines a measure of net housing demand or supply which allows the calculation of a long, high frequency time series, whose principal use is intended to be in a multivariate residential property price forecasting model. The series is easily and inexpensively replicable. We formulate...

We augment linear pricing models for the housing market commonly used in the literature with google trends data in order to assess whether or not crowd-sourced search query data can improve the forecasting ability of the models. We compare various performance measures of the augmented linear...

This paper investigates the importance of including data on new housing supply in Dynamic Stochastic General Equilibrium (DSGE) models in forecasting the Great Financial Crisis (GFC), focusing on the U.S. While existing models have added a financial sector and real estate sector, they have...

Using a new database of consumers expectations, this paper examines the nature of house price forecasts across a select sample of European Union (EU) member states for the period 2020 to 2024. Across many EU countries, post Covid-19, house price increases have been apparent. Therefore,...

We conduct a comprehensive international study of predictability in housing markets using the rent-price ratio as a predictive variable. On data from 18 OECD countries we generally find return predictability in accordance with time-varying risk-premia, but we also document two puzzles. First,...