Three essays on China's housing market, monetary policy and macroeconomy

2019 ◽  
Author(s):  
◽  
Yifeng Jia
Keyword(s):  
Monetary Policy ◽  
Housing Market ◽  
Negative Impact ◽  
House Price ◽  
Housing Price ◽  
Policy Instruments ◽  
Heterogeneous Effects ◽  
Price Appreciation ◽  
Economic Stimulus ◽  
Monetary Policy Shock

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This dissertation studies China's housing market and macroeconomic activity with a strong focus on the role of monetary policy behind the markets. The first two chapters concentrate on the house price dynamics in China. Chapter 1 examines the in influence of monetary policy on China's housing price fluctuation by estimating a VAR model with China's aggregated house price data from 1998Q1 to 2015Q4. The monetary policy shock is identify ed by the sign restriction approach following Uhlig (2005), with the identification assumptions extended to three common policy instruments utilized by the central bank of China: interest rate, required reserve ratio and M2. The results suggest a negative impact of a contractionary monetary policy shock on the house price, and M2 tends to be the most effective monetary instruments in terms of policy transmission. The framework is also extended to examine the link between China's 2008 government economic stimulus plan and the subsequent house price appreciation. The obtained evidence suggests that the economic stimulus props up the house price, but its contribution to the post-2008 house price appreciation is not as prominent as indicated by other relevant studies. However, this discrepancy may be explained by the heterogeneous effects of the stimulus policy on local housing markets across China

scholarly journals Housing Prices in Unregulated Markets: Study on Verticalised Dwellings in Santiago de Chile

Buildings ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 6 ◽  
Author(s):  
José Francisco Vergara-Perucich ◽  
Carlos Aguirre-Nuñez
Keyword(s):  
Housing Market ◽  
Affordable Housing ◽  
Housing Prices ◽  
House Price ◽  
Housing Price ◽  
Housing Affordability ◽  
Price Formation ◽  
Land Values ◽  
Santiago De Chile ◽  
Data Transparency

Chile faces a housing affordability crisis, given that most of the population is unable to secure a house. While housing prices between 2008 and 2019 increased by 63.96%, wages only increased by 21.85%. This article presented an analysis of the housing price configuration for the main borough in the country—Santiago. The assessment focused on verticalised housing constructed between 2015 and 2019. The article developed an exploratory study on the price of housing in Santiago to generate a diagnosis to identify the role played by expectations of profitability when configuring price. Based on the information generated, we sought to contribute to the discussion on public policies that advance the development of affordable housing in central boroughs with high urban value, as is the case for Santiago’s borough of Greater Santiago. We hypothesised that profit expectation of real estate developers plays a key role in the housing prices, and an adjustment in the profit ratios might increase the affordability while keeping the housing market above profitable rates. This research addressed the lack of data transparency in the Chilean housing market with archival research, reconstructing costs and earnings from projects based on official registrations of transactions at the borough level. In Chile, the access to investment costs, land values, yields, and house price formation are not publicly available, even though these factors imply that many households are facing severe difficulties in paying for and accessing decent housing.

Regional housing price dependency in the UK: A dynamic network approach

Urban Studies ◽  
2020 ◽  
pp. 004209802094348
Author(s):  
Dayong Zhang ◽  
Qiang Ji ◽  
Wan-Li Zhao ◽  
Nicholas J Horsewood
Keyword(s):  
Housing Market ◽  
House Prices ◽  
House Price ◽  
Housing Price ◽  
Dynamic Network ◽  
Network Approach ◽  
Market Interactions ◽  
Partial Correlations ◽  
Regional Housing Market ◽  
The Uk

The cross-regional dependency in the UK housing market is analysed using regional house price indices. In this article, a network approach based on partial correlations is proposed, along with rolling-window analysis to consider potential time-varying dependency. The results show that house prices in the outer South East region have the strongest influence on regional housing market interactions in the UK. This influence is stronger when the markets are highly interconnected, whereas the house prices in London have the strongest influence when the UK regional housing markets are relatively less connected.

scholarly journals Excess Real Interest Rates and the Inflation Targeting Regime in Brazil: Monetary Policy Ineffectiveness and Rentiers’ Interests

2018 ◽  
Vol 5 (6) ◽  
pp. 84
Author(s):  
Fernando Ferrari Filho ◽  
Marcelo Milan
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Interest Rates ◽  
Inflation Targeting ◽  
Negative Impact ◽  
Policy Instruments ◽  
Output Growth ◽  
International Standards ◽  
Real Interest Rates ◽  
The Interest Rate

Brazil has had, since the middle 1990s, one of the highest real interest rates in the world, yet not one of the lowest inflation rates. By the end of that decade, an inflation targeting regime (ITR) was introduced. Real interest rates have remained extremely high for international standards, while macroeconomic performance has been dismal on the same grounds. This article argues that these results can be explained by, among others reasons, pressures from the rentiers to frame monetary policy in a way to sustain very high interest earnings in a context where inflation is not very sensitive to monetary policy instruments. Under the ITR, the interest rate seems to have been kept above what would be required to maintain low inflation under normal conditions (even if one assumes a demand-pull inflation, which is not necessarily the case), with a potentially negative impact on growth and employment. This is interpreted as an indicator of monetary policy ineffectiveness. On the empirical ground, this article compares interest rate, inflation, unemployment, and real output growth for Brazil with both ITR and non-ITR countries selected by judgment sampling.

scholarly journals Regional economic structure and heterogeneous effects of monetary policy: evidence from Indonesian provinces

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
Harry Aginta ◽  
Masakazu Someya
Keyword(s):  
Monetary Policy ◽  
Manufacturing Sector ◽  
Bank Lending ◽  
Impulse Response Functions ◽  
Regional Economic ◽  
Vector Autoregressive ◽  
Heterogeneous Effects ◽  
Structural Variables ◽  
Monetary Policy Shock ◽  
The Impact

AbstractWe analyze how regional economic structures affect the impact of monetary policy on rates of inflation across 34 Indonesian provinces. The paper first applies structural factor augmented vector autoregressive model (SFAVAR) to all the 34 provinces based on monthly provincial data in order to measure the length and magnitude of responses of regional inflation to monetary policy shock, derived from the consequential impulse response functions of 34 provinces. In the second step, we analyze the impact of economic structures on the length and magnitude of regional inflationary responses of 34 provinces. We find that the impacts of monetary policy across regions are significantly influenced by economic structural variables such as manufacturing sector share to GDP, mining sector share to GDP, bank lending share to GDP and export share to GDP. In addition, we found the spatial lag, rate of inflation of neighboring provinces, is also statistically significant. In a similar fashion, economic structural variables such as manufacturing sector share to GDP, construction sector share to GDP and investment share to GDP are found statistically significant in explaining regional differences of monetary policy efficiency. Our findings imply economic structures of provinces have to be incorporated to designing monetary policy in Indonesia.

scholarly journals Financialization, real estate and COVID-19 in the UK

2020 ◽  
Author(s):  
Grace Blakeley
Keyword(s):  
Monetary Policy ◽  
Real Estate ◽  
Financial Markets ◽  
Housing Market ◽  
Negative Impact ◽  
House Prices ◽  
Wealth Inequality ◽  
The Uk

Abstract In the UK, financialization has transformed many areas of the economy, including the housing market. The deregulation of financial markets that took place from the 1980s onwards, combined with the privatization of social housing, has transformed UK real estate from an ordinary good, insulated to some extent from consumer and financial markets, into a valuable financial asset. The financialization of real estate has had a largely negative impact on the UK’s housing market, the wider economy and individual communities; wealth inequality, financial instability, gentrification and homelessness have all increased as the role of the financial sector in UK property has increased. The financial crisis only accelerated many of these trends as distressed real estate was bought up by investors in its wake, and as loose monetary policy pushed up house prices in the period after the crisis. The COVID-19 pandemic is only likely to exacerbate these issues; the UK is sleepwalking into a potential evictions crisis, and ongoing loose monetary policy is likely to prevent a significant and necessary correction in house prices over the long term.

scholarly journals Regional house price cycles in the UK, 1978-2012: a Markov switching VAR

2014 ◽  
Vol 7 (3) ◽  
pp. 345-366 ◽  
Author(s):  
Rosen Azad Chowdhury ◽  
Duncan Maclennan
Keyword(s):  
Monetary Policy ◽  
Housing Market ◽  
Housing Policy ◽  
Markov Switching ◽  
House Price ◽  
Empirical Work ◽  
Extensive Literature ◽  
Content Type ◽  
The Impact ◽  
The Way

Purpose – This paper aims to use Markov switching vector auto regression (MSVAR) methods to examine UK house price cycles in UK regions at NUTS1 level. There is extensive literature on UK regional house price dynamics, yet empirical work focusing on the duration and magnitude of regional housing cycles has received little attention. The research findings indicate that the regional structure of UK exhibits that UK house price changes are best described as two large groups of regions with marked differences in the amplitude and duration of the cyclical regimes between the two groups. Design/methodology/approach – MSVAR principal component analysis NUTS1 data are used. Findings – The housing cycles can be divided into two super regions based on magnitude, duration and the way they behave during recession, boom and sluggish periods. A north-south divide, a uniform housing policy and a monetary policy increase the diversion among the regions. Research limitations/implications – Markov switching needs high-frequency data and long time spans. Practical implications – Questions a uniform housing policy in a heterogeneous housing market. Questions the impact of monetary policy on a heterogeneous housing market. The way the recovery of the housing market varies among regions depends on regional economic performance, housing market structure and the labour market. House price convergence, beta-convergence. Originality/value – No such work has been done looking at duration and magnitude of regional housing cycles. A new econometric method was used.

Turkish Housing Market Dynamics: An Estimated DSGE Model

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

scholarly journals The sources of house price change: identifying liquidity shocks to the housing market

2016 ◽  
Vol 9 (1) ◽  
pp. 98-120 ◽  
Author(s):  
Paloma Taltavull de La Paz ◽  
Michael White
Keyword(s):  
Monetary Policy ◽  
Housing Market ◽  
Error Correction ◽  
House Prices ◽  
Price Change ◽  
Housing Prices ◽  
House Price ◽  
Content Type ◽  
The Uk

Purpose The purpose of this paper is to examine the role of monetary liquidity in house price evolution through examining the Asset (housing) Inflation channel. It identifies the main channels of transmission affecting house prices from monetary supply channels to house price change, examining how the Asset Price channel transmits changes in M1 to housing prices in Spain and the UK. Design/methodology/approach The paper uses Vector Auto Regression (VAR) and Error Correction models to test the Asset Inflation channel in the UK and Spain from 1991 to 2013 in two steps. In the first step, the supply elasticity is estimated through the long-term relationship between house prices and stock supply. The second step estimates a Vector Error Correction (VEC) to explain house price dynamics conditioned on supply reactions. The latter is defined as a long-term inverse demand model where housing prices are controlled by fundamentals in each market. Models allow forecast testing using Choleski impulse responses methodology. Findings Several results are found. In the supply model, both countries show rapid convergence to equilibrium with a larger elasticity of supply in Spain than in the UK but with a short run effect of new supply on prices in the UK. Regarding the Asset Inflation Channel model, the paper finds evidence of the existence of a housing accelerator effect in Spain, but not in the UK where changes in liquidity fully impact house prices in one direction. Research limitations/implications Implications of findings are mainly to forecast the effects of Monetary Policy measures in different economies. Practical implications The model supports the evaluation of different impacts of monetary policy in territories. It shows that the same policy will have different impacts in different housing markets and therefore highlights the importance of examining each market separately to identify the appropriate policy interventions. Originality/value This is the first paper that estimates the impact of the Asset Inflation Channel on house prices that endogenises housing market conditions and compares effects and interrelationships in two different economies.

scholarly journals THE NEXUS BETWEEN HOUSING GLUT, ECONOMIC GROWTH, HOUSING AFFORDABILITY AND HOUSE PRICE IN MALAYSIA

2019 ◽  
Vol 17 (9) ◽  
Author(s):  
Yip Chee Yin ◽  
Au Yong Hui Nee ◽  
Abdelhak Senadjki
Keyword(s):  
Economic Growth ◽  
Negative Impact ◽  
Housing Prices ◽  
House Price ◽  
Housing Price ◽  
Housing Affordability ◽  
Common Belief ◽  
Bubble Bursting ◽  
Two Factors ◽  
Unit Increase

This paper analyses [1] the relative impact of housing affordability, housing prices and gross domestic product on housing glut, [2] the effects of housing glut on the health of housing market and then [3] suggestion of solutions to mitigate the risks of housing bubble bursting. Results show that housing affordability and housing price exert very mild effect on housing glut contrary to the common belief that these two factors have significant effect on housing glut. In terms of number, our results show that economic growth contributes about 0.15 negative impact on housing glut for every unit increase in economic growth while each unit increase in housing price can increase housing glut as much as 0.0054 unit.

Monetary Policy Problems under Capital Inflow to Russia

2007 ◽  
pp. 4-19 ◽  
Author(s):  
A. Ulyukaev ◽  
M. Kulikov
Keyword(s):  
Monetary Policy ◽  
Foreign Trade ◽  
Negative Impact ◽  
Policy Instruments ◽  
Capital Inflow ◽  
Private Capital ◽  
Trade Surplus ◽  
The Past ◽  
Russian Economy ◽  
Policy Problems

Russian macroeconomic tendencies of the past decade are described in the article. It is particularly mentioned that until recently foreign trade surplus was the main source of liquidity for the Russian economy. Since mid 2005 a noticeable foreign private capital inflow has started, creating a new liquidity source. A significant capital inflow may result in additional inflation and / or additional ruble appreciation while currently used monetary policy instruments appear to be ineffective in this situation. The description of the set of measures to soften negative impact of the capital inflow is also presented.

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