Template-Type: ReDIF-Paper 1.0 Author-Name: Arthur Grimes Author-X-Name-First: Arthur Author-X-Name-Last: Grimes Author-Email: Arthur.grimes@motu.org.nz Author-Workplace-Name: Motu Economic and Public Policy Research Author-Name: Sean Hyland Author-X-Name-First: Sean Author-X-Name-Last: Hyland Author-Email: sean.hyland@motu.org.nz Author-Workplace-Name: Motu Economic and Public Policy Research Author-Name: Andrew Coleman Author-X-Name-First: Andrew Author-X-Name-Last: Coleman Author-Email: Andrew.coleman@treasury.govt.nz Author-Workplace-Name: New Zealand Treasury Author-Name: James Kerr Author-X-Name-First: James Author-X-Name-Last: Kerr Author-Email: james.kerr@mbie.govt.nz Author-Workplace-Name: Ministry of Business, Innovation and Employment Author-Name: Alex Collier Author-X-Name-First: Alex Author-X-Name-Last: Collier Author-Email: alex.collier@mbie.govt.nz Author-Workplace-Name: Ministry of Business, Innovation and Employment Title: A New Zealand Regional Housing Model Abstract: The New Zealand Regional Housing Model (NZRHM) includes estimated equations for four key housing market variables: house prices, housing supply (new dwelling consents), residential vacant land (lot) prices, and average rents. Long run (cointegration) relationships and short run (error correction) relationships are estimated for each of these variables across 72 TLAs within New Zealand. The model is designed so that it can be used for short to medium term forecasting. It is also useful for simulating the effects of shocks to the housing market. The paper presents simulations of the impacts of shocks to exogenous variables (population, credit restrictions, construction costs and farm prices) as well as shocks to policy variables (developer contributions, accommodation supplement, and land availability). We also simulate the consequences of the Christchurch earthquakes for Canterbury housing outcomes. The over-arching conclusion across all simulations is that housing markets are very slow to adjust to disequilibria, such that exogenous shocks have very long lasting effects on prices and the housing stock. Length: 84 pages Creation-Date: 2013-02 File-URL: https://motu-www.motu.org.nz/wpapers/13_02.pdf Number: 13_02 Classification-JEL: R21; R31 Keywords: house prices, housing supply, lot prices, rents, housing model Handle: RePEc:mtu:wpaper:13_02