This volume was prepared by Constantin Mang while he was working at the Ifo Institute. It was completed in 2014 and accepted as a doctoral thesis by the Department of Economics at the University of Munich. It includes a short introduction and four self-contained chapters that focus on ICT...

This volume was prepared by Constantin Mang while he was working at the Ifo Institute. It was completed in 2014 and accepted as a doctoral thesis by the Department of Economics at the University of Munich. It includes a short introduction and four self-contained chapters that focus on ICT...

We use a quasi-experimental research design to study the effects of 22 renewal areas implemented in Berlin, Germany, to increase housing and living quality in the aftermath of the city s division during the Cold War period. Our results suggest within the targeted areas that the policy has helped...

We employ loan-level data on over a million loans disbursed in India between 1995 and 2010 to understand how fast-changing regulation impacted mortgage lending and risk. Our paper uses changes in regulatory treatment discontinuities associated with loan size and leverage to detect...

Neighborhoods are the result of a complicated interplay between residential choice, housing supply and the influences of the larger metropolitan system on its constituent parts. We model this interplay as a system of reduced-form equations in order to examine the effects of a generous spatially...

This paper investigates the effects of house price uncertainty shocks on economic activity, and traces the origins of the shocks. A Markov-switching vector autoregression (MS-VAR) model shows that house price uncertainty shocks in expansionary regimes increase residential investment, housing...

We use a quasi-experimental research design to study the effects of a spatially targeted renewal policy implemented in Berlin, Germany, in the aftermath of the city's division during the Cold War period. Our results suggest that over the course of 20 years, the policy helped to reduce (increase)...

We quantify the impact of the Covid-19 pandemic on housing demand of Italian households by exploiting new information on their search activity on the market. The data comes from two unique datasets: the Italian Housing Market Survey, conducted quarterly on a large sample of real estate agents,...

We develop an agent-based model of the UK housing market to study the impact of macroprudential policy experiments on key housing market indicators. The heterogeneous nature of this model enables us to assess the effects of such experiments on the housing, rental and mortgage markets not only in...

The COVID-19 pandemic has severely damaged tenant’s ability to pay rents, which also hurts the financial health of landlords. The large-scale eviction moratorium amid the pandemic might further dampen rental market demands and intensify the tenant-landlord relationship. In response to the risk...