Case Study

Reservation Wage Analysis in a Linear Probability Model

In a specific job search model, the reservation wage (r), which is the minimum wage a person is willing to accept, is determined by the formula:

r = r₀ + q/k

Where:

  • r₀ is a base wage component, representing the value of non-work.
  • q is the employee quit rate (the probability a job will end in a given period).
  • k is a parameter reflecting how sensitive a worker's job acceptance probability is to the wage.

Assume a worker has a base wage component r₀ = $15, the sensitivity parameter is k = 0.05, and the current market quit rate is q = 0.02.

First, calculate the worker's current reservation wage. Then, analyze how the reservation wage changes if the quit rate increases to q = 0.04. Explain the relationship you observe between the quit rate and the reservation wage as predicted by this model.

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Updated 2025-08-04

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