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Bargaining Power, Strike Duration, and Wage Outcomes: An Analysis of Strikes in the 1880s

Author

Listed:
  • David Card
  • Craig A. Olson
Abstract
We study strike durations and outcomes for some 2000 disputes that occurred between 1881 and 1886. Most post-strike bargaining settlements in the 1880s fell into one of two categories: either a union "victory", characterized by a significant wage gain or hours cut, or a union "defeat", characterized by the resumption of work at the previous terms of employment. We find a strong negative relation between strike duration and the value of the settlement to workers. reflecting the declining probability of a union victory among longer strikes. For the subset of strikes over wage increases we estimate a structural model that includes equations for the capitulation times of the two parties and a specification of the wage increase conditional on a union victory. This framework provides a simple index of employees' relative bargaining power. based on the relative time to a union capitulation. Employees' relative bargaining power was higher in disputes involving fewer workers and in union ordered strikes. but substantially lower after the Haymarket Square incident in Chicago in 1886.

Suggested Citation

  • David Card & Craig A. Olson, 1992. "Bargaining Power, Strike Duration, and Wage Outcomes: An Analysis of Strikes in the 1880s," NBER Working Papers 4075, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:4075
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    References listed on IDEAS

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    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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