FULL EMPLOYMENT POLICY IN CANADA: A BOX-JENKINS APPROACHI

Recently developed time series techniques are applied to the problem of predicting the possible regional impacts of a full employment policy in Canada. A brief critique of existing spatial labor market methods is presented. The focus of this critique is concerned with issues of serial autocorrelation and the high risks of finding spurious relationships associated with Brechling-type models. It is argued, on the basis of the derived results, that a full employment policy would substantially benefit regions with already high levels of unemployment. However, it also appears that many depressed regions would not attain national levels of full employment. With the economic crises of the 1970s