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A New Zealand Regional Housing Model

  • Arthur Grimes

    ()

    (Motu Economic and Public Policy Research)

  • Sean Hyland

    ()

    (Motu Economic and Public Policy Research)

  • Andrew Coleman

    ()

    (New Zealand Treasury)

  • James Kerr

    ()

    (Ministry of Business, Innovation and Employment)

  • Alex Collier

    ()

    (Ministry of Business, Innovation and Employment)

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.

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Paper provided by Motu Economic and Public Policy Research in its series Working Papers with number 13_02.

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Length: 84 pages
Date of creation: Feb 2013
Date of revision:
Handle: RePEc:mtu:wpaper:13_02
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  1. Iris Claus & Arthur Grimes, 2003. "Asymmetric Information, Financial Intermediation and the Monetary Transmission Mechanism: A Critical Review," Treasury Working Paper Series 03/19, New Zealand Treasury.
  2. Pain, Nigel & Westaway, Peter, 1997. "Modelling structural change in the UK housing market: A comparison of alternative house price models," Economic Modelling, Elsevier, vol. 14(4), pages 587-610, October.
  3. Grimes, Arthur & Hyland, Sean, 2012. "Passing the Buck: Impacts of Commodity Price Shocks on Rural Outcomes," 2012 Conference, August 31, 2012, Nelson, New Zealand 136046, New Zealand Agricultural and Resource Economics Society.
  4. Arthur Grimes & Andrew Aitken, 2010. "Housing Supply, Land Costs and Price Adjustment," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(2), pages 325-353.
  5. Arthur Grimes & Andrew Aitken, 2007. "House Prices and Rents: Socio-Economic Impacts and Prospects," Working Papers 07_01, Motu Economic and Public Policy Research.
  6. Susin, Scott, 2002. "Rent vouchers and the price of low-income housing," Journal of Public Economics, Elsevier, vol. 83(1), pages 109-152, January.
  7. Andrew Coleman & Grant Scobie, 2009. "A Simple Model of Housing Rental and Ownership with Policy Simulations," Working Papers 09_08, Motu Economic and Public Policy Research.
  8. Arthur Grimes & Yun Liang, 2007. "Spatial Determinants of Land Prices in Auckland:Does the Metropolitan Urban Limit Have an Effect?," Working Papers 07_09, Motu Economic and Public Policy Research.
  9. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, MIT Press, vol. 125(3), pages 1253-1296, August.
  10. Oded Palmon & Baron A. Smith, 1998. "New Evidence on Property Tax Capitalization," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 1099-1128, October.
  11. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-87, September.
  12. Sweeney, James L., 1974. "A commodity hierarchy model of the rental housing market," Journal of Urban Economics, Elsevier, vol. 1(3), pages 288-323, July.
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