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...

This paper analyzes the relative merits of large place- and tenant-based housing programs in Finland in terms of housing affordability and neighborhood quality. Using hedonic regression methods and household micro data, we find that rent savings to public housing tenants are less targeted...

The paper aims at measuring the rental housing market regulations in Germany between 1913 and 2015. Four classes of housing policy are considered: Rent controls, tenant protection, rationing of housing, and fostering of social housing. Based on a thorough analysis of federal and regional...

The aftermath of the 2007/08 financial crisis has resulted in many Central Banks and regulatory authorities examining the appropriateness of macroprudential policy as an effective and efficient policy option in preventing the emergence of future credit bubbles. Specific limits on loan-to-value...

We study neighbourhood externalities caused by large public investments in poor neighbourhoods. A stylised theory of a linear city is proposed to guide interpretation of the magnitude and attenuation of the external effects generated by these public investments. We use a large Dutch nationwide...

This paper simulates job and fiscal impacts of Michigan's MEGA tax credit program for job creation. Under plausible assumptions about how such credits affect business location decisions, the net costs per job created of the MEGA program are simulated to be of modest size. The job creation...

Economist has traditionally been skeptical about the potential effects of place-based policies. Some authors (see, e.g., Overman and Nathan, 2013, and Kline and Moretti, 2014) argued that place-based policies are an imperfect solution to deal with social problems, for many reasons. First,...