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Measuring the Impact of Nit Experiments on Work Effort

Datos Bibliográficos

ID3129368
AutoresGary Burtle, Gary Burtless (Brookings Institution), David Greenberg (0000-0002-8746-1410), David H Greenberg (0000-0002-6004-3171), David A Greenberg
Año1983
Volumen36
Número4
Páginas592
Fecha de publicación1983-07-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaIndustrial and Labor Relations Review (JOURNAL)
Identificadores de la revistaISSN: 0019-7939 • E-ISSN: 2162-271X
EditorialJSTOR (PUBLISHER)
DOI10.2307/2522932
OpenAlexW4247081317
IdiomaEN
Citas recibidas5

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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Obras citantes distintas3
Citas por año0,13
Intervalo de citas1986 - 2012 (27)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 2
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