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Erschienen in: Empirical Economics 2/2017

18.08.2016

The housing market and excess monetary liquidity in China

verfasst von: I-Chun Tsai

Erschienen in: Empirical Economics | Ausgabe 2/2017

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Abstract

This study investigated the performance of the housing market in China, determining that from a long-term perspective, an equilibrium relationship exists between housing prices and output. However, the housing market may not be efficient in the short run. Based on the correlation between housing returns and the economic growth rate, 3 distinct states can be discerned in the performance of the Chinese housing market. The first state is a bubble period, during which housing returns are excessively high and negatively correlated with the economic growth rate; the second state is a correction period, during which housing prices are corrected toward market fundamentals; and the third state is a calm market period, during which no substantial performance or trends manifest. This study determined that excess monetary liquidity significantly influenced the housing market states; however, no such effect was observed when the interest rate was adjusted. Thus, the findings implicate that if the People’s Bank of China intends to avoid losing control of the housing market, it should exercise monetary control to avoid excess liquidity in the housing market.

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Fußnoten
1
Scherbina and Schlusche (2014) proposed that \(r_{f}\) can be the proxy variable for the discount rate.
 
2
Related theories on housing affordability proposed by Malpezzi (1999) indicate that house prices and income are cointegrated. In other words, income can be used to predict fundamental house prices.
 
3
This study adopted a cointgration test, which was first proposed by Engle and Granger (1987), to analyze the correlation between housing returns and the economic situation. The cointegration test is based on the concept that if the linear combination of multiple nonstationary variables is stationary, a cointegration relationship exists between these variables; this type of cointegration is viewed as a long-term equilibrium relationship. If a long-term cointegration relationship exists among the variables, the change of the variables will be corrected toward an equilibrium relationship. Thus, if the the current study discovered a cointegration relationship between housing price and GDP, it would indicate long-term equilibrium between housing price and GDP during the sample period. The error correction model can then be used to estimate the short-term correction dynamics of housing returns.
 
4
The Markov switching model can estimate various states. This study explored three distinct states based on the estimation results of maximum likelihood.
 
5
Most empirical studies on China’s housing markets have used seasonal data, for example, Guo and Li (2011), Yu (2011), and Shih et al. (2014).
 
6
Bracke (2013) estimates the state of housing markets before regress estimating the probability that these states would be ongoing to test for duration dependence. Huang (2014) shows that the monthly good-time-to-buy index leads changes in the housing market by three periods. Similarly, the present study explores the relationships between related variables and the probability of the three states occurring.
 
Literatur
Zurück zum Zitat Bowden RJ (1980) Equilibrium and disequilibrium in models of the housing market: a survey. National Housing Economics Conference, Australian Government Publishing Service (AGPS) Bowden RJ (1980) Equilibrium and disequilibrium in models of the housing market: a survey. National Housing Economics Conference, Australian Government Publishing Service (AGPS)
Zurück zum Zitat Congdon T (2005) Money and asset prices in boom and bust. Institute of Economic Affairs, London Congdon T (2005) Money and asset prices in boom and bust. Institute of Economic Affairs, London
Zurück zum Zitat International Monetary Fund (2011) Global financial stability report, world economic and financial surveys (Washington, April) International Monetary Fund (2011) Global financial stability report, world economic and financial surveys (Washington, April)
Zurück zum Zitat International Monetary Fund (2012) World economic outlook, world economic and financial surveys (Washington, October) International Monetary Fund (2012) World economic outlook, world economic and financial surveys (Washington, October)
Metadaten
Titel
The housing market and excess monetary liquidity in China
verfasst von
I-Chun Tsai
Publikationsdatum
18.08.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Empirical Economics / Ausgabe 2/2017
Print ISSN: 0377-7332
Elektronische ISSN: 1435-8921
DOI
https://doi.org/10.1007/s00181-016-1138-9

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