Good Inflation, Bad Inflation: The Housing Boom, Economic Growth and the Disaggregation of Inflationary Preferences in the UK and Ireland

2009 ◽  
Vol 11 (3) ◽  
pp. 461-478 ◽  
Author(s):  
Colin Hay
Keyword(s):  
Monetary Policy ◽  
House Price ◽  
Private Debt ◽  
Price Inflation ◽  
Mortgage Interest ◽  
Price Bubble ◽  
Housing Boom ◽  
Time Inconsistent ◽  
The Uk ◽  
House Price Bubble

This article presents a comparative analysis of the determinants, sustenance and broader macroeconomic consequences of the ultimately unsustainable housing boom in Ireland and the UK in recent years. It examines, in particular, the role played by ostensibly depoliticised monetary policy in both contexts in the development of a house price bubble that has served to fuel consumer-led growth. It assesses the viability, sustainability and reproducibility of the private debt-financed consumer boom that house price inflation has generated. In the process it draws attention to the increasingly differentiated character of both government inflationary preferences and counter-inflationary performance—with the shift to official measures of inflation that exclude mortgage interest repayments and, in the UK at least, to the covert re-politicisation of monetary policy. It concludes by suggesting that governments may well not have time-inconsistent inflationary preferences so much as sectorally specific inflationary preferences. This might be summarised in terms of the aphorism: ‘retail price inflation bad, house price inflation good’.

An examination of house price bubble in the real estate sector: the case of a small island economy – Fiji

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsin Khan ◽  
Rup Singh ◽  
Arvind Patel ◽  
Devendra Kumar Jain
Keyword(s):  
Housing Market ◽  
Negative Impact ◽  
Positive Impact ◽  
House Price ◽  
Policy Implications ◽  
Small Island ◽  
Price Inflation ◽  
Content Type ◽  
Price Bubble ◽  
House Price Bubble

Purpose This paper aims to assess the equilibrium house price in the city of Suva (Fiji) and to analyse the house price bubble in the Fiji housing market. Design/methodology/approach This paper adopts a time series approach to determine the presence of house price bubbles in Fiji over the period from 1988 to 2018. Findings The findings suggest that real income, land cost, building material price, inflation rate, volatility, household size and wealth have a positive impact on house prices, whereas user cost of capital and political disturbances have a negative impact. The findings further indicate that the Fijis’ housing market does not constitute any house price bubble. Practical implications This paper draws policy implications for a small developing state (Fiji) and other similar economies. Originality/value The price bubble in the Fiji housing market is analysed for the first time. This paper develops a comprehensive empirical approach to assess the equilibrium-housing price in Fiji.

The Interpretation of House Price Statistics for the United Kingdom

1981 ◽  
Vol 13 (9) ◽  
pp. 1109-1124 ◽  
Author(s):  
M C Fleming ◽  
J G Nellis
Keyword(s):  
United Kingdom ◽  
Critical Appraisal ◽  
House Prices ◽  
House Price ◽  
Price Inflation ◽  
The United Kingdom ◽  
Price Levels ◽  
Incomplete Coverage ◽  
The Uk

A survey is made of all official and unofficial sources of statistics on house prices in the UK. This is followed by a critical appraisal of the evidence they provide about national and regional price levels and about house price inflation. Attention is focused on two crucial factors: the representativeness of the data and the heterogeneity of houses. It is concluded that incomplete coverage of all house transactions means that most series tend to overstate price levels and that intertemporal and interregional comparisons are sensitive to the composition by type of houses traded.

The UK Economy: Forecast Summary

2016 ◽  
Vol 238 ◽  
pp. F3-F3
Keyword(s):  
Monetary Policy ◽  
Disposable Income ◽  
List Type ◽  
Price Inflation ◽  
Bank Rate ◽  
Monetary Policy Committee ◽  
Near Term ◽  
Article 50 ◽  
The Uk ◽  
Policy Committee

The economy will grow 2 per cent in 2016 before slowing to 1.4 per cent in 2017: with the triggering of Article 50 there are downside risks to next year's outlook.Consumer price inflation will accelerate, peaking at around 4 per cent in the second half of 2017, and this will impact on real disposable incomeThe Monetary Policy Committee is expected to look through this near-term inflation and hold Bank Rate at ¼ per cent until 2019.Sterling is expected to remain at around $1.22 and €1.11 this year and next.

Assessing Dutch housing cycle and near-term market prospects

2020 ◽  
Vol 13 (2) ◽  
pp. 257-270
Author(s):  
Arvydas Jadevicius ◽  
Peter van Gool
Keyword(s):  
Housing Market ◽  
House Prices ◽  
House Price ◽  
Future Market ◽  
Price Inflation ◽  
Content Type ◽  
Dutch Housing ◽  
The Usa ◽  
Near Term ◽  
The Uk

Purpose This study is a practice undertaking examining three main concerns that currently dominate Dutch housing market debate: how long is the cycle, will the current house price inflation continue and is housing market in a bubble. With national house prices reaching record highs across all major cities, future market prospects became a topic of significant debate among policymakers, investors and the populace. Design/methodology/approach A triangulation of well-established academic methods is used to perform investigation. The models include Hodrick-Prescott (HP) filter, volatility autoregressive conditional heteroskedasticity (ARCH approximation) and right tail augmented Dickey–Fuller (Rtadf) test (bubble screening technique). Findings Interestingly, over the years from 1985 to 2019 research period, filtering extracts only one Dutch national housing cycle. This is a somewhat distinct characteristic compared to other advanced Western economies (inter alia the UK and the USA) where markets tend to experience 8- to 10-year gyrations. Volatility and Rtadf test suggest that current house prices in most Dutch cities are in excess of historical averages and statistical thresholds. House price levels in Almere, Amsterdam, The Hague, Groningen, Rotterdam and Utrecht are of particular concern. Originality/value Retail investors should therefore be cautious as they are entering the market at the time of elevated housing values. For institutional investors, those investing in long-term, housing in key Dutch metropolitan areas, even if values decline, is still an attractive investment conduit.

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