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Al-Hajj, A and Horner, M W (1998) Modelling the running costs of buildings. Construction Management and Economics, 16(04), 459-70.

Boussabaine, A H and Kaka, A P (1998) A neural networks approach for cost-flow forecasting. Construction Management and Economics, 16(04), 471-9.

Crosthwaite, D (1998) Note - The internationalization of British construction companies 1990-1996: an empirical analysis. Construction Management and Economics, 16(04), 389-95.

El-Rayes, K and Moselhi, O (1998) Resource-driven scheduling of repetitive activities. Construction Management and Economics, 16(04), 443-6.

Gowda, R, Singh, A and Connolly, M (1998) Holistic enhancement of the production analysis of bituminous paving operations. Construction Management and Economics, 16(04), 417-32.

Lingard, H and Rowlinson, S M (1998) Behaviour-based safety management in Hong Kong's construction industry: the results of a field study. Construction Management and Economics, 16(04), 481-8.

Marsh, L and Finch, E (1998) Note - Attitudes towards auto-ID technologies within the UK construction industry. Construction Management and Economics, 16(04), 383-8.

McCabe, S, Rooke, J D, Seymour, D E and Brown, P (1998) Quality managers, authority and leadership. Construction Management and Economics, 16(04), 447-57.

Notman, D, Norman, G, Flanagan, R and Agapiou, A (1998) A time-series analysis of UK annual and quarterly construction output data (1955-1995). Construction Management and Economics, 16(04), 409-16.

  • Type: Journal Article
  • Keywords: ARIMA model; forecasting; output; time series
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/014461998372196
  • 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.

Ofori, G and Debrah, Y A (1998) Flexible management of operatives in the Singapore construction industry. Construction Management and Economics, 16(04), 397-408.

Shi, J and AbouRizk, S M (1998) Continuous and combined event-process models for simulating pipeline construction. Construction Management and Economics, 16(04), 489-98.