Alonzo, Ruperto P.Sanchez, Maria Teresa C.2024-10-182024-10-181986-04https://selib.upd.edu.ph/etdir/handle/123456789/759This study attempted to analyze the behavior and trend of nonagricultural wages and their relative structure specifically those of the formal sector of the economy. The objective is to determine the behavior of wages and the wage differentials, and to identify and explain the factors influencing wage movements and relative wage structure over time. The behavior and trend of nonagricultural wages and their relative structure were determined and analyzed using two sets of wage and salary data-- the establishment-based wage and salary data of the Office of Compensation and Position Classification (OCPC) and the household-based labor force data of the National Census and Statistics Office (NCSO). The analysis of wages by occupation in the Philippines revealed that the money wage levels of laborers, clerical workers and professionals rose over the years. The real wage levels for laborers and clerical workers declined from the sixties to seventies but rose since 1976. The real wages of professionals were subject to variations over the years. The real wages declined from 1960 to 1963, rose from 1963 to 1969 and declined again from 1969 to 1981. The occupational wage differential trend as revealed by both sets of wage and salary data is one of declining differentials for the Philippines and for Metro Manila, specifically from 1976 to 1981. The industrial wage differentials in the Philippines exhibited a narrowing trend from 1976 to 1981. The industrial wage differentials in Metro Manila fluctuated over the years but a narrowing is apparent from 1979 to 1981. The geographical wage differentials fluctuated over the years but a widening trend is apparent in all occupations except cashier. Regressions were carried out to estimate wage differences and the contributions of the classificatory (independent) variables to the variations in wages. The dummy variable coefficients in the first regression revealed that regional classifications do little to explain the variations in wages of clerk, clinic physician, legal officer, and mechanical engineer. However, they contribute greatly to the explanation of variations in the wages of cashier, laborer, mechanic, carpenter, janitor and corporate accountant. The dummy variable coefficients in the second regression revealed that industrial classifications do little to explain the variations in the wage levels of legal officer but contribute greatly to the explanation of variations in the wage levels of all the other occupations. Finally, the dummy variable coefficients in the third regression revealed that industrial classifications can explain a greater portion of variation in wage levels than regional classifications.enThesis