Complementarity of Shared Compensation and Decision-Making Systems: Evidence from the American Labor Market / Arindrajit Dube, Richard Freeman.

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Dube, Arindrajit

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Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w14272.Publication details: Cambridge, Mass. National Bureau of Economic Research 2008.Description: 1 online resource: illustrations (black and white)Subject(s):

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Abstract: This paper examines the relationship between shared capitalist modes of pay and shared modes of decision-making via employee involvement and related committees and between them and measures of productivity and worker well-being in two data sets: the employee based Worker Participation and Representation Survey and the California Establishment Survey. It finds in both data sets that the forms of shared compensation are complementary in the sense that they are more likely to be found together than if firms chose them separately; that shared compensation systems are positively associated with shared decision-making; and that combining shared compensation systems and employee involvement has greater impacts on outcomes than each system by itself.

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Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w14272 (Browse shelf(Opens below))	Not For Loan

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August 2008.

This paper examines the relationship between shared capitalist modes of pay and shared modes of decision-making via employee involvement and related committees and between them and measures of productivity and worker well-being in two data sets: the employee based Worker Participation and Representation Survey and the California Establishment Survey. It finds in both data sets that the forms of shared compensation are complementary in the sense that they are more likely to be found together than if firms chose them separately; that shared compensation systems are positively associated with shared decision-making; and that combining shared compensation systems and employee involvement has greater impacts on outcomes than each system by itself.