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Measuring the Impact of Nit Experiments on Work Effort

Bibliographic Data

ID3129368
AuthorsGary Burtle, Gary Burtless (Brookings Institution), David Greenberg (0000-0002-8746-1410), David H Greenberg (0000-0002-6004-3171), David A Greenberg
Year1983
Volume36
Issue4
Pages592
Publication date1983-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueIndustrial and Labor Relations Review (JOURNAL)
Journal identifiersISSN: 0019-7939 • E-ISSN: 2162-271X
PublisherJSTOR (PUBLISHER)
DOI10.2307/2522932
OpenAlexW4247081317
LanguageEN
Citations received5

In spite of exhaustive research by many analysts on the data generated by the NIT experiments, uncertainty remains over whether work reductions in the experiments should be considered "large" or "small." The authors of this paper argue that this uncertainty arises in part because different analysts have implicitly measured the responses of different groups of individuals exposed to the NIT treatment. The authors use data from the Seattle-Denver experiment to provide estimates of several measures of average work response, including corrected estimates of some previously proposed measures. They conclude that the corrected estimates show a consistent pattern: as the fraction of NIT recipients rises in any group, the observed reduction in labor supply also rises

Computer network · Econometrics · Economics · Nat · Physics · Statistics · Thermodynamics · Work (physics) · Computer Science · Engineering · Mathematics · Mechanical Engineering · Technostress in Professional Settings · Work-Family Balance Challenges

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Unique citing works3
Citations per year0,13
Citation span1986 - 2012 (27)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2
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