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...

Assuming that owners are fully compensated for the costs and benefits through the prices they pay for properties, we investigate the effects conservation areas have on value in England in a spatial hedonic analysis of property prices. Controlling for a particularly rich set of property and...

Provided that 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...

For a complete cost-benefit analysis of durable infrastructures, it is important to understand how the value of non-market goods such as transit time and environmental quality changes as incomes rise in the long-run. We use difference-in-differences and spatial differencing to estimate the land...

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...