Housing Market Spillovers: Evidence from an Estimated DSGE Model

Motivated by the observation that the down payment policy in China is government-controlled and pro-cyclical based on the housing market, I construct a heterogeneous DSGE model to study the relationship between China’s down payment policy, property tax, and economic fluctuations. The results indicate that an increasing down payment ratio suppresses the speculative belief and decreases household’s housing demand. This in turn pulls housing prices down and smoothes the economic fluctuations. By way of counterfactual exercises, I also find that the down payment policy and the property tax can be substitutes for each other. If there is an active down payment policy, the implementation of property tax shall be prudently deliberated by the Chinese government.

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What can an Open-Economy DSGE Model Tell Us About Hong Kong’s Housing Market?

SSRN Electronic Journal ◽

10.2139/ssrn.1713186 ◽

2010 ◽

Author(s):

Michael Funke ◽

Michael Paetz

Keyword(s):

Housing Market ◽

Open Economy ◽

Dsge Model

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Turkish Housing Market Dynamics: An Estimated DSGE Model

Margin The Journal of Applied Economic Research ◽

10.1177/0973801021990396 ◽

2021 ◽

Vol 15 (2) ◽

pp. 238-267

Author(s):

Mustafa Ozan Yıldırım ◽

Mehmet İvrendi

Keyword(s):

Monetary Policy ◽

Housing Market ◽

House Prices ◽

House Price ◽

Policy Instrument ◽

Dsge Model ◽

Macroeconomic Variables ◽

Dynamic Stochastic ◽

Monetary Policy Reaction Function ◽

The Impact

In this article, we investigate the underlying driving dynamics behind house price variations in Turkey by estimating a dynamic stochastic general equilibrium (DSGE) model in which the housing market and collateral constraints are included. The model also analyses the interaction between macroeconomic variables and the housing market by making policy simulations under different loan-to-value (LTV) ratios, which are used as a housing market-specific economic policy tool. The model is extended by including the traditional Taylor rule with house prices for representing monetary policy. Our findings show that house prices in Turkey are largely explained by housing preference shocks. Besides, we find that monetary policy shock plays a small role in determining the variables of the housing market in the short-term period. However, the magnitude of the impact of housing market shocks on the rest of the economy depends on the LTV ratios. The higher the LTV ratio, the higher are the effects of the government’s housing policy instrument for stabilising the housing market on real macroeconomic variables such as consumption and output in Turkey. Finally, our findings show that the fluctuations in house prices have not played a substantial role in the monetary policy reaction function of Turkey. JEL Codes: E32, E52, E44, E51, R31

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Housing and Consumption in New Zealand: A Financial Accelerator DSGE Model and SVAR Analysis

10.26686/wgtn.17003323 ◽

2021 ◽

Author(s):

◽

Andrew D Fung

Keyword(s):

New Zealand ◽

Housing Market ◽

Open Economy ◽

Government Spending ◽

Negative Impact ◽

House Prices ◽

Small Open Economy ◽

Financial Accelerator ◽

Dsge Model

<p>This thesis examines the role of a financial accelerator mechanism for housing in the context of a small open economy. Following the seminal financial accelerator framework in a Dynamic Stochastic General Equilibrium (DSGE) model set out by Bernanke, Gertler and Gilchrist (1999) (BGG), Aoki, Proudman and Vlieghe (2002, 2002a, 2004) (APV) examine the role of the financial accelerator for the housing market. In my basic model (Chapter 2), I extend the analysis of APV from a closed economy to a small open economy in which imports are used as intermediate inputs into the production process and foreign demand for domestically produced goods is influenced by the real exchange rate. Unlike APV, I set the endowment of housing to be consistent with the nature of consumer behaviour, in that “rule of thumb” (ROT) consumers (who do not save) are renters, further differentiating them from “permanent income hypothesis” (PIH) consumers. I find that in contrast to APV, the financial accelerator effect does not increase the responsiveness of consumption and output to various shocks. This is due in part to the endowment of housing being restricted to PIH households. I find that the presence of a financial accelerator increases the responsiveness of the housing market to nominal interest rate, technology, and foreign shocks. Moreover, even though the financial accelerator reduces the reaction of the nonhousing variables to shocks, there is still a positive correlation between house prices and consumption, consistent with the widely observed empirical relationship between the two. Furthermore, given that PIH households have access to the capital markets, the model does not rely on a wealth effect to generate this correlation even though homeowners can engage in housing equity withdrawal. In Chapter 3 I extend the DSGE model to include a more fully specified fiscal sector. I find that consistent with the RBC view of fiscal policy, a positive government spending shock has a negative impact on the housing market. Using the type of fiscal rule proposed by Gal´ı, Vall´es and L´opez-Salido (2004), I find that government spending crowds out private consumption, including the purchase of housing services and has a negative impact on house prices. Despite the positive short-term impact on output, tax increases that would ultimately fund the spending shock act as a drag on consumption. In Chapter 4 I examine the New Zealand empirical data in order to see whether a financial accelerator effect can be detected. Using a small seven variable Structural Vector Auto-Regression model I find that shocks to house prices do not have a significant impact on the mortgage rate-benchmark interest rate spread in the manner suggested by the financial accelerator model. This may be due to other costs (such as funding mortgage lending through the international swap market by New Zealand banks) having a significant impact on the setting of mortgage rates and thus the spread. I also find that government spending does not appear to have a significant impact on house prices and the median response is mildly negative - consistent with the result from the DSGE model. Nevertheless, the SVAR does detect a significant relationship between shocks to house prices and household consumption.</p>

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