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Collaboration Between and Within Groups / Matias Iaryczower, Santiago Oliveros, Parth Parihar.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w30656.Publication details: Cambridge, Mass. National Bureau of Economic Research 2022.Description: 1 online resource: illustrations (black and white)Subject(s): Other classification:
  • C72
  • D72
Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: We study the ability of multi-group teams to undertake binary projects in a decentralized environment. The equilibrium outcomes of our model display familiar features in collaborative settings, including inefficient gradualism, inaction, and contribution cycles, wherein groups alternate taking responsibility for moving the project forward. Expected delay grows more than proportionally with project size, and some welfare-enhancing projects are not completed, even as agents become arbitrarily patient. A team composed of two equally large groups can complete larger projects than a fully homogenous team, even as the difference in preferences for completion among the two groups is arbitrarily small. Moreover, if the project is sufficiently large, the two-group team always completes the project strictly faster.
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November 2022.

We study the ability of multi-group teams to undertake binary projects in a decentralized environment. The equilibrium outcomes of our model display familiar features in collaborative settings, including inefficient gradualism, inaction, and contribution cycles, wherein groups alternate taking responsibility for moving the project forward. Expected delay grows more than proportionally with project size, and some welfare-enhancing projects are not completed, even as agents become arbitrarily patient. A team composed of two equally large groups can complete larger projects than a fully homogenous team, even as the difference in preferences for completion among the two groups is arbitrarily small. Moreover, if the project is sufficiently large, the two-group team always completes the project strictly faster.

Hardcopy version available to institutional subscribers

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