There is a broad literature about fundamental determinants of house prices, which received increasing attention in the aftermath of the subprime crisis. However, there might be several other partly unobservable socio-demographic, psychological or individual factors influencing real estate price...

In this paper, I investigate the characteristics of house price dynamics for a sample of 16 emerging economies from Asia and Central and Eastern Europe, over the period 1995-2011. Linking housing valuations to a set of conventional fundamental determinants – relative to both the supply and the...

The recent surge in property values in China has been similar to the surge in the U.S before the crash in 2007. This raises concerns about whether China is destined to have a crash as well. We estimate similar models of property values for the two countries, in order to compare price dynamics...

House prices have increased faster than average income in many countries over the last decade, raising concerns on the affordability of housing. We study the impact of transaction taxes on the real estate market and the effectiveness of tax subsidies to make housing more affordable. We show how...

The New Zealand Regional Housing Model (NZRHM) includes estimated equations for four key housing market variables: house prices, housing supply (new dwelling consents), residential vacant land (lot) prices, and average rents. Long run (cointegration) relationships and short run (error...

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...

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...

This chapter surveys the literature on the microstructure of housing markets. It considers one-sided search, random matching, and directed search models. It also examines the bargaining that takes place once a match has occurred, with the bargaining taking various forms, including two-party...

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...

Despite the prevalence and high cost of real estate agents, there is limited empirical evidence as to the nature or efficacy of their services. In this paper we estimate real estate agents' value-added when either selling or buying homes using data from three large multiple listing services...