What drives housing dynamics in China? a sign restrictions VAR approach

Timothy Yang Bian and Pedro Gete

No 193, Globalization Institute Working Papers from Federal Reserve Bank of Dallas

Abstract: We study housing dynamics in China using vector autoregressions identified with theoryconsistent sign restrictions. We study five potential drivers: 1) Population increases; 2) a relaxation of credit standards, for example, due to the shadow banking system; 3) increasing preferences towards housing, for example, due to a housing bubble or housing being a status asset to be competitive in the marriage market; 4) an increase in the savings rate; and 5) expected productivity progress. Our results show that fundamental shocks (population, credit and productivity) play a major role in the dynamics of house prices and residential investment before 2009. Preference shocks seem especially relevant in the last several years, and when the estimation uses price indices not coming from China?s National Bureau of Statistics.

JEL-codes: E3 F44 R21 R31 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2014-09-01
New Economics Papers: this item is included in nep-cna, nep-mac, nep-tra and nep-ure
Note: Published as: Bian, Timothy Yang and Pedro Gete (2015), "What Drives Housing Dynamics in China? A Sign Restrictions VAR Approach," Journal of Macroeconomics 46: 96-112.
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Citations: View citations in EconPapers (7)

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Journal Article: What drives housing dynamics in China? A sign restrictions VAR approach (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:fip:feddgw:193

DOI: 10.24149/gwp193

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