Main finding
Housing prices responded more strongly to demand in places with tighter regulatory and physical supply constraints.
Their counterfactual model estimates 16.3% lower prices in an average travel-to-work area without regulatory constraints
Hilber & Vermeulen
Main finding
Their counterfactual model estimates 16.3% lower prices in an average travel-to-work area without regulatory constraints
Most important limitation
The 16.3% figure is a modeled counterfactual, not the observed effect of one reform, and the setting is England.
From the publication
The modeled price path is lower when regulatory and physical constraints are removed.
| Year | Predicted price | Without regulatory constraint | Without physical constraint |
|---|---|---|---|
| 1974 | 22000 | 22000 | 22000 |
| 1978 | 26000 | 25000 | 25000 |
| 1982 | 30000 | 29000 | 29000 |
| 1986 | 41000 | 38000 | 39000 |
| 1990 | 72000 | 65000 | 67000 |
| 1994 | 65000 | 58000 | 60000 |
| 1998 | 85000 | 74000 | 77000 |
| 2002 | 140000 | 112000 | 120000 |
| 2006 | 210000 | 165000 | 180000 |
| 2008 | 220000 | 178000 | 190000 |
How this study is used
Reference
Hilber & Vermeulen (2016). “The Impact of Supply Constraints on House Prices in England.”