Das House-Kapital; A Long Term Housing & Macro Model
Volker Grossman and
Thomas Steger ()
Authors registered in the RePEc Author Service: Volker Grossmann ()
No 17/80, IMF Working Papers from International Monetary Fund
There are, by now, several long term, time series data sets on important housing & macro variables, such as land prices, house prices, and the housing wealth-to-income ratio. However, an appropriate theory that can be employed to think about such data and associated research questions has been lacking. We present a new housing & macro model that is designed specifically to analyze the long term. As an illustrative application, we demonstrate that the calibrated model replicates, with remarkable accuracy, the historical evolution of housing wealth (relative to income) after World War II and suggests a further considerable increase in the future. The model also accounts for the close connection of house prices to land prices in the data. We also compare our framework to the canonical housing & macro model, typically employed to analyze business cycles, and highlight the main differences.
Keywords: Housing; Wealth distribution; Housing prices; Land prices; Income distribution; Housing Wealth, Non-Residential Wealth, Wealth-to-Income Ratios, Housing Wealth, Non-Residential Wealth, Wealth-to-Income Ratios, General (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dge, nep-his and nep-ure
References: Add references at CitEc
Citations: View citations in EconPapers (5) Track citations by RSS feed
Downloads: (external link)
Working Paper: Das House-Kapital: A Long Term Housing & Macro Model (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:imf:imfwpa:17/80
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Jim Beardow ().