This paper develops a model of the housing market that takes account of population density to assess the impact of population changes on the value and size of the housing stock. The model implies that if population density is on an upward trajectory, rises in population and in incomes...

This paper presents a framework for estimating losses in the residential real estate mortgage portfolios of German banks. We develop an EL model where LGD estimates are based on current collateral values and PD dynamics are estimated using a structural PVAR approach. We confirm empirically that...

This paper builds a macro model with a financial sector and a housing market to understand the transmission and effects of macroprudential instruments addressing mortgage credit. The model compares the introduction of a loan-to-value ratio (LTV), a countercyclical capital buffer (CCyB)-style...

Real estate markets are subject to dynamic, ever-changing influences from location, amenities and neighborhoods; regulation, zoning and population changes; but also - macroeconomic variables, such as interest rates, inflation and economic cycles. The decision to buy or rent a durable,...

To increase employee participation in training activities, the German government introduced a large-scale training voucher program in 2008 that reduces training fees by half. Based on a randomized field experiment, this paper analyzes whether providing information about the existence and the...

This paper analyzes the returns to training that was co-financed by the German voucher program Bildungsprämie. The estimation strategy compares outcomes of participants in voucher training with voucher recipients who intended to participate in training, but did not do so because of a random...