Labour

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Brad DeLong hops aboard the “Employers have a Taboo against raising Wages” bandwagon

September 4, 2018 Bilal 0

Brad DeLong hops aboard the “Employers have a Taboo against raising Wages” bandwagon https://ift.tt/2PvfnP4  – by New Deal democrat For Labor Day Prof. Brad DeLong posted a talk on the implications (or not) of the US being near “full employment.” The arguments on a few of the pages will be familiar to readers of this blog: My only significant quibble here is that “Job Openings” rates from both the JOLTS reports and the NFIB (Small Business) survey have been soaring for over 2 years. If employers knew that they had to pay higher wages to attract workers, but didn’t want […]

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Measuring the Gig Economy: Current Knowledge and Open Issues — by Katharine G. Abraham, John C. Haltiwanger, Kristin Sandusky, James R. Spletzer

September 4, 2018 Bilal 0

Measuring the Gig Economy: Current Knowledge and Open Issues — by Katharine G. Abraham, John C. Haltiwanger, Kristin Sandusky, James R. Spletzer https://ift.tt/2wEM6KJ Measuring the Gig Economy: Current Knowledge and Open Issues NBER Working Paper No. 24950 Issued in August 2018 NBER Program(s):Labor Studies The rise of the “gig economy” has attracted wide attention from both scholars and the popular media. Much of this attention has been devoted to jobs mediated through various online platforms. While non-traditional work arrangements have been a perennial subject of debate and study, the perception that new technology is producing an accelerated pace of change […]

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Occupational Classifications: A Machine Learning Approach — by Akina Ikudo, Julia Lane, Joseph Staudt, Bruce Weinberg

September 4, 2018 Bilal 0

Occupational Classifications: A Machine Learning Approach — by Akina Ikudo, Julia Lane, Joseph Staudt, Bruce Weinberg https://ift.tt/2LY5qaY Occupational Classifications: A Machine Learning Approach NBER Working Paper No. 24951 Issued in August 2018 NBER Program(s):Labor Studies Characterizing the work that people do on their jobs is a longstanding and core issue in labor economics. Traditionally, classification has been done manually. If it were possible to combine new computational tools and administrative wage records to generate an automated crosswalk between job titles and occupations, millions of dollars could be saved in labor costs, data processing could be sped up, data could become […]