Measuring quality of life under spatial frictions

Using a quantitative spatial model as a data-generating process, we explore how spatial frictions affect the measurement of quality of life. We find that under a canonical parameterization, mobility frictions—generated by idiosyncratic tastes and local ties—dominate trade frictions—generated by trade costs and non-tradable services—as a source of measurement error in the Rosen-Roback framework. This non-classical measurement error leads to a downward bias in es-timates of the urban quality-of-life premium. Our application to Germany reveals that accounting for spatial frictions results in larger quality-of-life differences, different quality-of-life rankings, and an urban quality-of-life premium that exceeds the urban wage premium.