Forecasting the supply of construction skills in the UK

Andrew Agapiou, Andrew Price, Ron McCaffer

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

An aggregate supply model is presented for craft trainee entrants to the UK construction sector using annual data for the period 1976-1990. The theoretical framework used to formulate the equation was based on the human capital approach to analysing labour supply, as applied to new entrants to the engineering sector. In particular, the paper tests the hypothesis that the proportion of school-leavers choosing to train as construction operatives depends on the real craft wage and the long-term prospects of the construction industry. Co-integration was used to produce a long-run relationship between intakes, real wages, output and other variables. The supply equation was then reduced to a more parsimonious representation. The final restricted form of the model was tested against various diagnostic statistical criteria. The real craft wage and output were found to be the main factors determining the choice between training as a construction craft operative and any other job. In addition, demographic trends and socioenvironmental factors such as the image of the industry were found to have a strong effect on the supply of new entrants.
Original languageEnglish
Pages (from-to)353-364
Number of pages12
JournalConstruction Management and Economics
Volume13
Issue number4
DOIs
Publication statusPublished - 1995

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Wages
Construction industry
Personnel
Industry
New entrants
Factors

Keywords

  • construction skills
  • architecture
  • vocational qualifications

Cite this

Agapiou, Andrew ; Price, Andrew ; McCaffer, Ron. / Forecasting the supply of construction skills in the UK. In: Construction Management and Economics. 1995 ; Vol. 13, No. 4. pp. 353-364.
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Forecasting the supply of construction skills in the UK. / Agapiou, Andrew; Price, Andrew; McCaffer, Ron.

In: Construction Management and Economics, Vol. 13, No. 4, 1995, p. 353-364.

Research output: Contribution to journalArticle

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