House price diffusion: an application of spectral analysis to the prices of Irish second-hand dwellings

Gray, David (2013) House price diffusion: an application of spectral analysis to the prices of Irish second-hand dwellings. Housing Studies, 28 (6). pp. 869-890. ISSN 0267-3037

Full content URL: http://dx.doi.org/10.1080/02673037.2013.768335

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House Price Diffusion
House price diffusion: an application of spectral analysis to the prices of Irish second-hand dwellings
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Abstract

Purpose
To examine whether a ripple effect in house prices can be confirmed across Irish, regional, residential, property markets

Design/Methodology
The house price dynamics are examined in the frequency domain using spectral analysis. This entails the estimation of power spectra, cospectrum, coherence, gain and phase of regional and national time series data. They are examined on a region-nation pairwise basis.

Findings
The power spectrum highlights a dominant 6 year cycle, common to all of Ireland’s regional markets. Dublin is the driving market of the Irish housing system. Moreover, Northern Ireland’s housing market appears to follow a hybrid of both the UK and Irish cycles.

Research limitations/implications
Spectral analysis reveals that bonding between housing markets is very strong at the key cycle and there is not much evidence of a ripple in the sense that is understood in the UK. The paper distinguishes between leading and driving regions. Dublin is found to be a driver of other regions’ house prices whilst other Cities lead the national cycle by more time than Dublin.

Originality/value
Spectral analysis could be more widely used in financial economics to reveal the ripple effect, contrasting the outputs with the more conventional error correction model results.

Keywords:Housing market, housing economics, house prices, Ireland, spectral analysis
Subjects:L Social studies > L721 Economic Geography
L Social studies > L111 Financial Economics
Divisions:Lincoln International Business School
ID Code:7589
Deposited On:20 Feb 2013 14:34

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