Many transport technologies cause a gnot]in]my] backyard (NIMBY) reaction of locals in that they often oppose the nearby location of necessary infrastructure despite benefiting from greater mobility. We employ quasi] experimental research methods to disentangle the offsetting noise and...

We estimate the spatially differential effects of a nationally uniform minimum wage that was introduced in Germany in 2015. To this end, we use a micro data set covering the universe of employed and unemployed individuals in Germany from 2011 to 2016 and a difference‐in‐differences based...

We propose a method to estimate the capitalized value of the architectural design quality of a neighbourhood. Our economic design premium is identified by spatially differentiating property prices and design quality within neighbourhoods and comparing the differences across neighbourhoods. We...

Provided there are positive external benefits attached to the historic character of buildings, owners of properties in designated conservation areas benefit from a reduction in uncertainty regarding the future of their area. At the same time, the restrictions put in place to ensure the...

I define a composite amenity that provides aesthetic and consumption value to local residents: Urbanity. A novel data set of geo-tagged photos shared in internet communities serves as a proxy for urbanity. From the spatial pattern of house prices and photos I identify the value of urbanity in...

Urban renewal areas are popular but empirically understudied spatial planning instruments designed to prevent urban decline and induce renewal. We use a quasi-experimental research design to study the effects of 22 renewal areas implemented in Berlin, Germany, to increase housing and living...

This paper shows that having access to a fast Internet connection is an important determinant of capitalization effects in property markets. Our empirical strategy combines a boundary discontinuity design with controls for time-invariant effects and arbitrary macro-economic shocks at a very...

We develop a programming algorithm that predicts a balanced-panel mix-adjusted house price index for arbitrary spatial units from repeated cross-sections of geocoded micro data. The algorithm combines parametric and non-parametric estimation techniques to provide a tight local fit where the...