| This exploratory research examines the wage effects of a variety of measures thought to be important in the employment income determination process. It does this by using ordinary least squares multiple regression techniques to construct wage equations for two samples of blue-collar workers in Montreal. Blue-collar wage equations are constructed for: (i) the Montreal labour market and (ii) the Montreal food processing industry.; The results of this study show that Montreal blue-collar wages are determined by a variety of factors. Most importantly, however, are the wage effects exhibited by a worker's gender, union membership status and whether or not a worker has received a promotion from his/her present employer. These factors show statistically significant effects on the wages of blue-collar workers in the Montreal labour market as well as on the wages of blue-collar workers in the Montreal food processing industry. The present research also finds that certain factors have distinct wage effects on the different samples of blue-collar workers examined. Data from the present study indicates that the wages of Montreal blue-collar workers are influenced primarily by: (i) on-the-job training, (ii) promotions received, (iii) job opportunities available, (iv) an interruption in one's studies, (v) trade union membership and (vi) gender. While the wages of blue-collar workers employed specifically in the Montreal-area food processing industry are affected principally by: (i) the use of computers, (ii) the use of machines, (iii) promotions received, (iv) a varied work experience, (v) trade union membership, (vi) marital status and (vii) gender. (Abstract shortened by UMI.)... |
