Monday, May 26, 2014
Tweet[IWS] BLS: MONTHLY LABOR REVIEW (through 19 May 2014)
IWS Documented News Service
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Institute for Workplace Studies-----------------Professor Samuel B. Bacharach
School of Industrial & Labor Relations-------- Director, Institute for Workplace Studies
Cornell University
16 East 34th Street, 4th floor--------------------Stuart Basefsky
New York, NY 10016 -------------------------------Director, IWS News Bureau
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MONTHLY LABOR REVIEW (through 19 May 2014)
http://www.bls.gov/opub/mlr/2014/home.htm
2014
- Do performance-based incentives work for teachers? 05/19/2014
http://www.bls.gov/opub/mlr/2014/beyond-bls/pdf/do-performance-based-incentives-work-for-teachers.pdf
[excerpt]
Are current performance-based incentives an accurate and reliable means of improving teacher performance and evaluation in the United States? More specifically, will IMPACT, which is the District of Columbia Public Schools (DCPS) teacher performance assessment and compensation system, result in better student performance and be the most fair and practical way of rewarding higher performing teachers in our school systems?
- Measuring the distribution of wages in the United States from 1996 through 2010 using the Occupational Employment Survey 05/05/2014
http://www.bls.gov/opub/mlr/2014/article/pdf/measuring-the-distribution-of-wages-in-the-united-states-from-1996-through-2010-using-the-occupational-employment-survey.pdf
[full-text 20 pages]
The microdata collected by the Occupational Employment Statistics (OES) program provide a unique opportunity to study wage inequality in the United States using employer-provided survey data. These data contain information on establishment characteristics as well as on wages and occupations for the millions of employees who work in the 400,000 establishments surveyed each year. Using these data, we replicate many of the wage variance trends that other authors have found using data from the Current Population Survey (CPS) of households. We show that most of the growth in wage inequality during the 1996–2009 period occurred within the private sector, within particular industry groups such as professional and business services, and within occupational groups such as healthcare occupations. Industry and particularly occupation explain more of overall wage variation in the (employer-reported) OES than in the (employee-reported) CPS. The amount of wage variance explained by occupation is also growing more quickly in the OES than in the CPS. In an examination not possible with the CPS data, we find that within the private sector, wage differences among establishments explain far more of the level and the trend of wage variance than do wage differences among occupations.
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