The Changing Inter-Industry Wage Structure of the Organised Manufacturing Sector in India, 1973-74 to 2003-04

This study examines the inter-industry wage structure of the organised manufacturing sector in India for the period 1973-74 to 2003-04 by estimating the growth of average real wages for production workers by industry. In order to estimate the growth rates, the study adopts a methodological framework that differs from other studies in that the time series properties of the concerned variables are closely considered in order to obtain meaningful estimates of growth that are unbiased and (asymptotically) efficient. Using wage data on 51 manufacturing industries at three digit level of the National Industrial Classification 1998 (India), our estimation procedure obtains estimates of growth of real wages per worker that are deterministic in nature by accounting for any potential structural break(s). Our findings show that the inter-industry wage structure in India has changed a lot in the period 1973-74 to 2003-04 and that it provides some evidence that the inter-industry wage differences have become more pronounced in the post-reforms period. Thus this paper provides new evidence from India on the need to consider the hypothesis that industry affiliation is potentially an important determinant of wages when studying any relationship between reforms and wages.

Employee referrals and the inter-industry wage structure

This paper investigates the role of employee referrals in the labor market.Using an original data set, I find that industries that pay wage premia andhave characteristics associated with high-wage sectors rely mainly on employeereferrals to fill jobs. Moreover, unemployment rates are higher in industries which use employee referrals more extensively. This paper develops an equilibrium matching model which can explain these empirical regularities. Inthis model, the matching process sorts heterogeneous firms and workers into two distinct groups: referrals match "good" jobs to "good" workers, while formalmethods (e.g., newspaper ads and employment agencies) match less-attractive jobs to disadvantaged workers. Thus, well-connected workers who learn quickly aboutjob opportunities use referrals to jump job queues, while those who are less well placed in the labor market search for jobs through formal methods. The split of firms and workers between referrals and formal search is, however, not necessarily efficient. Congestion externalities in referral search imply that unemployment would be closer to the optimal rate if firms and workers 'at themargin' searched formally.

Trinidad and Tobago: inter-industry wage differentials

Includes bibliography

Industry wage survey : textile plants, August 1990.

Chiefly tables.

Industry wage survey : help supply services, October 1989.

Chiefly tables.

Industry wage survey : communications, October-December 1979.

Mode of access: Internet.

Industry wage study. Appendix A-W. Job descriptions for wage studies.

A. Metalworking.--B. Mining.--C. Apparel.--D. Electric light and power and warehousing and storage.--E. Structural clay products.--F. Services.--G. Retail trade.--H. Footwear.--I. Bakeries.--J. Tobacco.--K. Paper and allied products.--L. Textiles.--M. Chemicals.--N. Furniture.--O. Candy and chocolates.--P. Leather tanning, currying and finishing.--Q. Meat products.--R. Gas utilities.--S. Wholesale drugs.--T. Glassware.--U. Mechanical rubber goods.--V. Copper alloying, rolling and drawing.--W. Lumber.

Industry wage survey.

Description based on: Dec. 1970.

Industry wage survey.

Mode of access: Internet.

Industry wage survey.

Mode of access: Internet.

Industry wage surveys.

Mode of access: Internet.

Industry wage survey.

Mode of access: Internet.

Industry wage survey. Men's shirts and separate trousers /

Mode of access: Internet.

Industry wage survey.

Description based on: Sept. 1983; title from caption.