Estimating Construction Demand in Singapore: Potential of Neural Networks

  • Freddie Tan
  • George Ofori
Part of the Applied Econometrics Association Series book series (AEAS)


In Singapore, the construction sector’s share in GDP has steadily climbed from 5.4 per cent in 1989 to 7.1 per cent in 1995. Its output has been growing at 11.9 per cent per annum since 1989. A growing outward trend has been the ‘regionalisation’ of the local construction industry with the result that there has been an increase in construction firms competing for projects abroad. Contracts won abroad will bring in export earnings to the economy that can offset, in part, the leakage due to imports of foreign services and building materials. With the maturing of Singapore’s economy, we shall see increasing refurbishment and restoration work in the future. As construction output is a derived demand, it also reflects the importance of inter-sectoral linkages and associative growth. This notion is supported by the high percentage which capital formation in construction contributes to the Gross Fixed Capital Formation (GFCF) in Singapore.


Gross Domestic Product Hide Node Construction Industry Money Supply General Regression Neural Network 
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© Applied Econometrics Association 2003

Authors and Affiliations

  • Freddie Tan
  • George Ofori

There are no affiliations available

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