 A time-series analysis of UK annual and quarterly construction output data (1955-95)David Notman, George Norman (), Roger Flanagan and Andrew Agapiou Construction Management and Economics, 1998, vol. 16, issue 4, 409-416 Abstract: United Kingdom construction output makes a vitally important contribution to the gross domestic product of the UK economy. Nevertheless, despite the obvious importance of UK construction, very little is known about the output behaviour of the industry. This paper endeavours to redress the imbalance by analysing the post-war time-series behaviour of annual and quarterly UK construction output. The primary technique of analysis is to estimate an autoregressive integrated moving-average (ARIMA) model of UK construction output. Such a model proxies the stochastic or random process that underlies UK construction output data. Also, a review is given of the methodology of estimation and diagnostic checking of ARIMA models in the context of UK construction output, together with ex-post and ex-ante forecasts of UK construction output using the estimated ARIMA models. Keywords: Time-series Data; Arima Models; Random Processes; Ex-post; Ex-ante Forecasts (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:conmgt:v:16:y:1998:i:4:p:409-416 Ordering information: This journal article can be ordered from Access Statistics for this article Construction Management and Economics is currently edited by Will Hughes More articles in Construction Management and Economics from Taylor & Francis Journals |
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