Dynamic production teams with strategic behavior

We analyze the extent to which intergenerational teams provide information on workers' productivity in the long run. We use a dynamic stochastic framework where wages are reputation-based and consider three possible work arrangements. When agents can only work by themselves we show that some uncertainty persists on their productivity at the steady state. Next, our results indicate that when the same technological shocks affect all teammates, then forcing workers to work together reveals their productivity in the steady state. However, some uncertainty on agents' productivities persist in the long run when technological shocks differ across teammates. We also allow workers to choose between working on their own or in a team. In this case the problem falls in the class of dynamic games. We compute the Nash-equilibrium work strategies, the direction of inter-workers transfers and the steady-state distribution of wages and utility. Elective teams are preferred by high-productivity young workers when technological shocks are specific to each teammate, and maximize the expected utility of a young worker when shocks are perfectly correlated

[1]  R. McAfee,et al.  OPTIMAL CONTRACTS FOR TEAMS , 1991 .

[2]  A. Rubinstein Perfect Equilibrium in a Bargaining Model , 1982 .

[3]  David N. Laband,et al.  Team production in economics: division of labor or mentoring? , 1995 .

[4]  David L. Kaserman,et al.  The Rising Incidence of Co-authorship in Economics: Further Evidence , 1988 .

[5]  Margaret Meyer,et al.  The Dynamics of Learning with Team Production: Implications for Task Assignment , 1994 .

[6]  Boyan Jovanovic Job Matching and the Theory of Turnover , 1979, Journal of Political Economy.

[7]  Andrea Prat How homogeneous should a team be , 1998 .

[8]  Hideshi Itoh Incentives to Help in Multi-agent Situations , 1991 .

[9]  David J. Salant,et al.  A repeated game with finitely lived overlapping generations of players , 1991 .

[10]  Katerina Sherstyuk Efficiency in partnership structures , 1998 .

[11]  H. Demsetz,et al.  Production, Information Costs, and Economic Organization , 1975, IEEE Engineering Management Review.

[12]  Lones Smith Folk theorems in overlapping generations games , 1992 .

[13]  Tomas Sjöström Implementation and information in teams , 1994 .

[14]  J. McDowell,et al.  The Determinants of Co-Authorship: An Analysis of the Economics Literature , 1983 .

[15]  Michihiro Kandori,et al.  Repeated Games Played by Overlapping Generations of Players , 1992 .

[16]  Franklin G. Mixon,et al.  Team production in economics: A comment and extension , 1997 .

[17]  Bengt Holmstrom,et al.  Moral Hazard in Teams , 1982 .

[18]  Hajime Hori,et al.  Dynamic Allocation in an Altruistic Overlapping Generations Economy , 1997 .

[19]  D. L. Kelly,et al.  Endogenous Strategic Business Cycles , 1998 .

[20]  Optimal Contracts for Teams: A Note , 1995 .

[21]  Kenneth I. Wolpin,et al.  Parental and Public Transfers to Young Women and Their Children , 1994 .

[22]  E. Rasmusen Moral Hazard in Risk-Averse Teams , 1987 .

[23]  Venkataraman Bhaskar Informational Constraints and the Overlapping Generations Model: Folk and Anti-Folk Theorems , 1994 .

[24]  Asher Wolinsky,et al.  Matching, search, and bargaining , 1987 .

[25]  N. Kaldor The Philosophy of Economics: Welfare Propositions of Economics and Interpersonal Comparisons of Utility , 1939 .