What Have We Learned From the Illinois Reemployment Bonus Experiment PowerPoint PPT Presentation

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Title: What Have We Learned From the Illinois Reemployment Bonus Experiment


1
What Have We Learned From the Illinois
Reemployment Bonus Experiment?
  • Bruce D. Meyer, Northwestern University and
    National Bureau of Economic Research

2
Background
  • For a brief period of time in Illinois, randomly
    assigned Unemployment Insurance recipients
    received 500 if they returned to work within 11
    weeks.
  • This experiment has interesting policy
    implications, especially considering that the
    Illinois UI office actually saved money.
  • The bonus experiment provides a rare case of
    observing exogenous changes in monetary
    incentives on job finding rates.

3
Illinois Experiment and Results
  • Three groups control group, Claimant Experiment,
    and Employer Experiment.
  • To qualify for Claimant Experiment, one must find
    a job less than 11 weeks after filing for UI,
    hold that job for at least 4 months, and work at
    least 30 hrs/wk.
  • Note in the following slide how the mean number
    of weeks of compensated unemployment are lower
    for the Claimant Experiment.

4
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5
Search Theory Predictions
  • Escape rate during the period of bonus
    eligibility will be higher for the experimental
    group than the control group.
  • Hazard rate will rise for the experimental group
    just before the end of bonus eligibility.
  • The bonus will have a larger impact on low-income
    individuals since the bonus amount is fixed at
    500.

6
Graphically, one sees a budget set discontinuity
that may lead to a rising hazard rate at 10 weeks.
7
Empirical Results Claimant Experiment Hazard
Clearly Lies Above for 1st 10 Weeks.
8
Another Viewpoint Notice No Real Difference Over
the 11 to 24 Week Interval.
9
Main Empirical Results
10
Interpretations of Results
  • The five typical experimental variables all are
    significant and have the expected signs.
  • Nonetheless, the variables Claimant experiment
    (CE) and Spike are not significant!
  • CEindicating a strong response to the 500
    incentive.

11
Since the income interaction variables are not
significant, Meyer looks at the following
comparison.
12
Policy Implications
  • Currently unemployed who do not file could
    respond to the increased incentives to file for
    UI benefits.
  • Currently not unemployed but changing jobs could
    start work slightly later and file for UI
    benefits.
  • Firm layoffs could increase since workers receive
    increased compensation for short UI spells.

13
Conclusions
  • Only one of the original search theories has
    strong support in the data.
  • Meyer concludes that this experiment does not
    provide enough evidence that governments should
    make the program permanent.
  • From a cost benefit analysis standpoint, the
    program succeeds since the treatment group earns
    several hundred dollars more in the year
    following the initial claim for UI.

14
Critiques
  • Meyer does not provide sufficient reasons for why
    the data contradicts the theory that low income
    individuals are more likely to partake in the
    bonus.
  • Meyer does not advocate making the bonus a
    permanent program, but he admits that the
    temporary program saved government revenue,
    induced the treatment group to return to work
    sooner, and did not lead to the treatment group
    taking advantage of the government program. If
    it was a successful temporary program, why should
    it not be permanent?
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