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- W2947834213 abstract "This thesis addresses two main issues related to the housing market in China. It discovers:i) the key driving forces behind the movements of housing price and the evaluation ofthe model’s capacity in fitting the data. ii) try to identify whether the Chinese housingmarket can be explained better by using a model with collateral constraint. The DynamicStochastic General Equilibrium (DSGE) model including the housing sector and capturingsome important features of the Chinese economy is employed to explore the above questions.Moreover, an Indirect Inference method is used to explore these issues in an empirical way.Estimation results show that the estimated model using Indirect Inference method can explainthe data behaviour well. The estimated model shows that the capital demand shock plays asignificant major role in explaining the housing price dynamic. In terms of the second issue,the Indirect Inference testing results show that the model with collateral constraint cannotprovide better performance in explaining the data." @default.
- W2947834213 created "2019-06-07" @default.
- W2947834213 creator A5090598554 @default.
- W2947834213 date "2019-05-01" @default.
- W2947834213 modified "2023-09-23" @default.
- W2947834213 title "The cause of housing marketfluctuations in China: An indirect inference perspective" @default.
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- W2947834213 hasPublicationYear "2019" @default.
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