ERIC Number: ED022896
Record Type: Non-Journal
Publication Date: 1965
Pages: 70
Abstractor: N/A
ISBN: N/A
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Methods of Forecasting Manpower Requirements with Special Reference to the Province of Ontario.
Mehmet, Ozay
The most generally accepted approaches of quantitatively forecasting manpower requirements by industries and occupations are described and evaluated. The operational steps of each forecasting technique are spelled out fully and illustrations of their use are made for (1) the econometric method, (2) the productivity method, (3) the trend projection method, (4) the employer's survey method, (5) the method of forecasting specialized manpower requirements, (6) the inter-area comparisons method, and (7) the elasticity of factor substitution method. An attempt has been made to comprehensively survey the literature concerning manpower forecasting, and a selected bibliography of 153 items is included. The bibliography is classified on the basis of the 7 methods of forecasting with short explanatory notes regarding some of the materials. A separate chapter is devoted to the data requirements in manpower forecasting in general, and to survey of the sources of data in Ontario. Another chapter, "Coordinating Educational Planning with Manpower Forecasting," discusses the problem of translating "crude" labor requirements, as derived through some appropriate forecasting technique, into qualified labor requirements, and then deriving the appropriate educational requirements. (ET)
Descriptors: Bibliographies, Data Analysis, Data Collection, Economic Research, Educational Planning, Employment Projections, Information Sources, Labor Economics, Labor Force, Labor Market, Labor Needs, Models, Research Methodology, Statistical Analysis, Statistical Surveys
Centre for Industrial Relations, University of Toronto, Toronto 5, Ontario, Canada ($2.50).
Publication Type: N/A
Education Level: N/A
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Sponsor: N/A
Authoring Institution: Ontario Dept. of Labour, Ottawa.; Toronto Univ. (Ontario). Centre for Industrial Relations.
Identifiers - Location: Canada
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