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...

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 -...

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...

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...

We develop a dynamic spatial model in which heterogeneous workers are imperfectly mobile and forward-looking and yet all structural fundamentals can be inverted without assuming that the economy is in a stationary spatial equilibrium. Exploiting this novel feature of the model, we show that the...

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...