In this paper, we analyze the differences in annualized capital gains across heterogeneous investor groups in the US housing market, namely owner-occupiers, private investors, as well as short- and long-term institutional investors. Our empirical results link the performance differences to...

This paper studies how to incorporate observable factors in difference-in-differences and document their empirical relevance. We show that even under random assignment directly adding factors with unit-specific loadings into the difference-in-differences estimation results in biased estimates....

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...

We examine the roles of bank ownership and CEO political faction membership in facilitating or hindering the implementation of central bank policy in China. Specifically, we examine the response of China’s commercial banks to People’s Bank of China (PBC) guidelines intended to decrease...

This article aims to investigate the similarity of public and private real estate returns and risks over the relatively long horizon using data for the U.S and the U.K. The results show evidence of a one-to-one relationship between publicly traded REIT performance and privately traded direct...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

The financial crisis of 2008, which started with an initially well-defined epicenter focused on mortgage backed securities (MBS), has been cascading into a global economic recession, whose increasing severity and uncertain duration has led and is continuing to lead to massive losses and damage...

We present a hybrid model for diagnosis and critical time forecasting of real estate bubbles. The model combines two elements: 1) the Log Periodic Power Law (LPPL) model to describe endogenous price dynamics originated from positive feedback loops between economic agents; and 2) a diffusion...

We investigate the evolution from 2000 to 2015 in the proportion of papers published by authors with a European affiliation in the three main international real estate journals. Then, we analyze papers with at least one European author and/or concentrating on Europe published from 2008 to 2015...

In geographically segmented credit markets, local real estate booms can deteriorate the funding conditions for small manufacturing firms and undermine their growth and competitiveness. Based on exogenous variations in the administrative land supply across 202 Chinese cities, we show that real...