Forecasting construction manpower demand: A vector error correction model

Building and Environment

Volumn 42, Issue 8, 2007, Pages 3030-3041

  Wong, James M W ^a   Chan, Albert P C ^a   Chiang, Y H ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Co integration; Forecasting; Manpower demand; Vector error correction model

Indexed keywords

COMPUTER SIMULATION; ECONOMICS; ERROR CORRECTION; FORECASTING; PLANNING; STATISTICAL METHODS;

MANPOWER DEMAND; VECTOR ERROR CORRECTION MODEL;

CONSTRUCTION;

COMPUTER SIMULATION; CONSTRUCTION; ECONOMICS; ERROR CORRECTION; FORECASTING; PLANNING; STATISTICAL METHODS;

AGGREGATE; ECONOMETRICS; ERROR CORRECTION; MODEL; STATISTICAL ANALYSIS; VECTOR;

EID: 33947544669     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2006.07.024     Document Type: Article

References (63)

1. CIRC. Construct for Excellence, Report of the Construction Industry Review Committee (2001), HKSAR
2. Schmidt SL, Schomann K, Tessaring M. Early identification of skills needs in Europe. Federal Ministry of Education and Research, European Centre for the Development of Vocational Training, Cedefop Reference Series, vol. 40, Luxemburg, 2003.
3. Nash J.C. Practical Forecasting for Managers (2001), Arnold, London
4. Agapiou A., Price A.D.F., and McCaffer R. Forecasting the supply of construction skills in the UK. Construction Management and Economics 13 4 (1995) 353-364
5. Hillebrandt P.M., and Meikle J.L. Resource planning for construction. Construction Management and Economics 3 3 (1985) 249-263
6. Heijke JAM. Towards a transparent labour market for training decision: in Europe's Human Resources in the 1990s. Report from the 1993 Cumberland Lodge Conference, 1993. p. 60-75.
7. Rosenfeld Y., and Warszawski A. Forecasting methodology of national demand for construction labour. Construction Management and Economics 11 1 (1993) 18-29
8. Uwakweh B.O., and Maloney W.F. Conceptual models for manpower planning for the construction industry in developing countries. Construction Management and Economics 9 5 (1991) 451-465
9. Briscoe G., and Wilson R. Explanations of the demand for labour in the United Kingdom engineering sector. Applied Economics 23 (1991) 913-926
10. Hopkins M. Labour market planning revisited (2002), Palgrave Macmillan, New York
11. Wong J.M.W., Chan A.P.C., and Chiang Y.H. A critical review of forecasting models to predict manpower demand. The Australian Journal of Construction Economics and Building 4 2 (2004) 43-56
12. Campbell C.P. Workforce requirement: the basis for relevant occupational training. Journal of European Industrial Training 21 8 (1997) 279-297
13. Cörvers F. Labour market forecasting in the Netherlands: a top-down approach. In: Schmidt SL, Schömann K, Tessaring, M, editors. Early identification of skill needs in Europe. Cedefop Reference Series, vol. 40, Luxemburg, 2003. p. 72-83.
14. Parnes H.S. Forecasting educational needs for economic and social development (1962), OECD, Paris
15. Debauvais M., and Psacharopoulos G. Forecasting the needs for qualified manpower: towards an evaluation. In: Youdi R.V., and Hinchliffe K. (Eds). Forecasting skilled-manpower needs: the experience of eleven countries (1985), UNESCO, Comedi, Belgium 11-31
16. Willems E. Interpreting gaps in manpower forecasting models. Labour 12 4 (1998) 633-641
17. Fuchs J., and Tessaring M. Medium and long-term forecasting of employment in Germany. In: Heijke H. (Ed). Forecasting the labour market by occupation and education, research centre for education and the labour market (1994), Kluwer Academic Publishers, Boston, Dordrecht, London p. 37-53
18. Willems E. Manpower forecasting and modelling replacement demand: an overview. ROA-W-1996/4E, Maastricht, 1996.
19. EMB. Final report to the consultancy on best overseas manpower forecasting practice. Education and Manpower Bureau, HKSAR Government, 2000.
20. Johansen S., and Juselius K. Maximum likelihood estimation and inference on cointegration-with applications to the demand for money. Oxford Bulletin of Economics and Statistics 52 2 (1990) 169-210
21. Ball J., and St Cyr R. Short-term employment functions in British manufacturing. Review of Economic Studies 33 95 (1966) 179-207
22. Naisbitt B. Employment functions and the slowdown in UK productivity growth. Bulletin of Economic Research 38 1 (1986) 67-75
23. Harvey A.C., Henry S.G.B., Peters S., and Wren-Lewis S. Stochastic trends in dynamic regression models: an application to the employment-output equation. The Economic Journal 96 (1986) 975-985
24. Ball M., and Wood A. How many jobs does construction expenditure generate?. Construction Management Economics 13 4 (1995) 307-318
25. Briscoe G., and Wilson R. Employment forecasting in the construction industry (1993), Avebury, Aldershot, UK
26. Tse Y.C., and Ganesan S. Causal relationship between construction flows and GDP: evidence from Hong Kong. Construction Management and Economics 15 4 (1997) 371-376
27. Yiu C.Y., Lu X.H., Leung M.Y., and Jin W.X. A longitudinal analysis on the relationship between construction output and GDP in Hong Kong. Construction Management and Economics 22 (2004) 339-345
28. Ross D.R., and Zimmermann K.F. Evaluating reported determinants of labor demand. Journal of Labor Economics 1 1 (1993) 71-84
29. Ehrenberg R.G., and Smith S.R. Modern labor economics: theory and public policy. 8th ed (2003), Addison-Wesley, New York
30. Neftci S.N. A time series analysis of the real wages-employment relationship. Journal of Political Economy 86 2 (1978) 281-291
31. Symons J.S.V., and Layard R. Neoclassical demand for labour functions for six major economies. The Economic Journal 94 376 (1984) 788-799
32. Hendry D.F. Empirical modelling in dynamic econometrics (1985), Nuffield College, Oxford
33. Engle R.F., and Granger C.W.J. Co-integration and error correction: representation, estimation and testing. Econometrica 55 2 (1987) 251-276
34. Wilson R. Modelling and forecasting the structure of employment in the United Kingdom. In: Heijke H. (Ed). Forecasting the labour market by occupation and education, research centre for education and the labour market (1994), Kluwer Academic Publishers, Boston, Dordrecht, London p. 9-35
35. Jenkinson T.J. Testing neo-classical theories of labour demand: an application of cointegration techniques. Oxford Bulletin of Economics and Statistics 48 3 (1986) 241-251
36. Chan APC, Anson M, Chiang YH, Hui ECM, Chan EHW, Tse RYC, Wong AKD, Mak SWK, Choy LHT, Wong JMW. Final Report to the Consultancy Study on the demand and supply of construction personnel. Unpublished Consultancy Report to the ETWB of the HKSAR Government; 2002.
37. Crane S.E., and Nourzad F. Improving local manufacturing employment forecasts using cointegration analysis. Growth and Change 29 2 (1998) 175-195
38. Wong JMW, Chan APC, Chiang YH. Determinants of construction manpower demand: a review from literature and practitioners' experience. In: Second international conference on construction in the 21st century (CITC-II) proceedings 2003, 10-12 December 2003, Hong Kong, 2003.p. 158-63.
39. Ganesan S., Hall G., and Chiang Y.H. Construction in Hong Kong: issues in labour supply and technology transfer (1996), Brookfield USA/Hong Kong/Singapore/Sydney, Aldershot, Avebury
40. Gruneberg S.L. Construction economics-an introduction (1997), Macmillan, London
41. Cousinneau L., and Muira N. Construction robots: the search for new building technology in Japan (1998), ASCE Press, Reston, VA
42. Nakanishi Y. Dynamic labour demand using error correction model. Applied Economics 33 6 (2001) 783-790
43. Ncube M, Heshmati A. An economietric model of employment in Zimbabwe's manufacturing industries. Scandivian Working Papers in Economics, Zimbabwe, 1998.
44. Dickey D.A., and Fuller W.A. Distribution of the estimators for autoregressive time series with unit roots. Journal of American Statistical Association 74 (1979) 427-431
45. Said E.S., and Dickey D.A. Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika 71 3 (1984) 599-607
46. MacKinnon J.G. Critical values for cointegration tests. In: Engle R.F., and Granger C.W.J. (Eds). Long-run economic relationships: reading in cointegration (1991), Oxford University Press, Oxford
47. Price S. Cointegration and modelling the long run. In: Scarbrough E., and Tanenbaum E. (Eds). Research strategies in the social sciences: a guide to new approaches (1998), Oxford University Press, Oxford p. 156-90
48. Lütkepohl H. Vector autoregressive and vector error correction models. In: Lütkepohl H., and Krätzig M. (Eds). Applied time series econometrics (2004), Cambridge University Press, London 86-158
49. Johansen S. Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control 12 (1988) 231-254
50. Masih R. Modelling the dynamic interactions among crime, deterrence and social-economic variables: evidence from a vector error-correction model. Mathematics and Computers in Simulation 39 (1995) 411-416
51. Hendry D.F., and Juselius K. Explaining cointegration analysis: Part 1. The Energy Journal 21 1 (2000) 1-42
52. Granger C.W.J. Some recent developments in a concept of causality. Journal of Econometrics 39 (1988) 199-211
53. Asafu-Adjaye J. The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries. Energy Economics 22 (2000) 615-625
54. Lowe J.G. The measurement of productivity in the construction industry. Construction Management and Economics 5 (1987) 101-113
55. Rojas E.M., and Aramvareekul P. Is construction labor productivity really declining?. Journal of Construction Engineering and Management 129 1 (2003) 41-46
56. Osterwald-Lenum M. A note with quantiles of the asymptotic distribution of the maximum likelihood cointegration rank test statistics. Oxford Bulletin of Economics and Statistics 54 (1992) 461-472
57. White H. A heteroskedasticity-consistent covariance matrix and a direct test for heteroskedasticity. Econometrica 48 4 (1980) 817-838
58. Jarque C.M., and Bera A.K. Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters 6 (1980) 255-259
59. Fildes R., and Makridakis S. The impact of empirical accuracy studies on time series analysis and forecasting. International Statistical Review 63 (1995) 289-308
60. Brown R.L., Durbin J., and Evans J.M. Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society 37, Series B (1975) 149-192
61. Pehkonen J. Real wages-employment relationship in Finnish manufacturing: a VAR approach. Applied Economics 23 10 (1991) 1559-1568
62. Williams RD. The demand for labour in the UK. Labour Market Trends 2004; August, 2004. p. 321-30.
63. Fung MKK. An examination of the major components for a comprehensive manpower planning model. In: International Vocational Education & Training Association (IVETA) annual conference 2001, 31 July-2 August 2001.