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...

Tall buildings are central to facilitating sustainable urbanization and growth in cities worldwide. We estimate average elasticities of city population and built area to aggregate city building heights of 0.12 and -0.17, respectively, indicating that the largest global cities in developing...

This paper analyses the impact of heritage-listed buildings on condominium transaction prices in Berlin, Germany. We use transaction data to test for price differentials between listed and nonlisted properties and to study their impact on surrounding property prices. Proximity to built heritage...

We quantify the housing-consumption channel in mortgage demand according to which households borrow more following house-price increases since housing and non-housing consumption are imperfect substitutes. To identify this channel, we take a structural approach to mortgage demand and supply,...

We quantify the housing-consumption channel in mortgage demand according to which households borrow more following house-price increases since housing and non-housing consumption are imperfect substitutes. To identify this channel, we take a structural approach to mortgage demand and supply,...

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...