It is systemic to expound how that the speculative behaviors are driven by the number of a series housing policies promulgated by China's government for the real estate market. The market is resulted in full of speculative behaviors, and has been booming since the beginning of this decade, even...

This study looks at real estate price booms and busts in industrialised countries. It identifies major and persistent deviations from long term trends for 18 countries and estimates the probabilities of their occurrence using a Random Effects Panel Probit model over the period 1980-2007. It...

We analyse the determinants of prices of flats that are bought on the primary (new construction) and secondary markets (existing stock) in the 17 largest cities in Poland during the 2002–2015 period. We find that prices are driven by economic fundamentals, such as income growth and drop in the...

This paper assesses the linkages between money, credit, house prices and economic activity in industrialised countries over the last three decades. The analysis is based on a fixed-effects panel VAR estimated using quarterly data for 17 industrialized countries spanning the period 1970-2006. The...

In this paper our main aim is to quantify the role that housing collateral plays for the monetary transmission mechanism. Furthermore, we want to explore the implications of the increase in household indebtedness, and specifically the loan-to-value ratio, in the last two decades. We set up a two...

On 15th November 2012 in Copenhagen, SUERF and Nykredit in association with Danmarks Nationalbank organised a conference on “Property prices and real estate financing in a turbulent world.” The papers included in this SUERF Study are based on contributions to the conference.

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...

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...

Using several different datasets obtained from the German Central Bank (Deutsche Bundesbank) and the German Federal Statistical Office, we provide empirical evidence that savings and loan contracts (SLCs) are a macrosocial phenomenon that smooths housing demand by setting countercyclical...