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| 001 | w30734 | ||
| 003 | NBER | ||
| 005 | 20221223084034.0 | ||
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| 008 | 221223s2022 mau fo 000 0 eng d | ||
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_aMaCbNBER _beng _cMaCbNBER |
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| 100 | 1 | _aLazear, Edward. | |
| 245 | 1 | 0 |
_aProductivity and Wages: _bWhat Was the Productivity-Wage Link in the Digital Revolution of the Past, and What Might Occur in the AI Revolution of the Future? / _cEdward Lazear, Kathryn L. Shaw, Grant E. Hayes, James M. Jedras. |
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_aCambridge, Mass. _bNational Bureau of Economic Research _c2022. |
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_a1 online resource: _billustrations (black and white); |
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| 490 | 1 |
_aNBER working paper series _vno. w30734 |
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| 500 | _aDecember 2022. | ||
| 520 | 3 | _aWages have been spreading out across workers over time - or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the U.S., we show that the distributions of both wages and productivity have spread out over time, as the right tail lengthens for both. We add OECD countries, showing that the wage-productivity correlation exists, such that gains in aggregate productivity, or GDP per person, have resulted in higher wages for workers at the top and bottom of the wage distribution. However, across countries, those workers in the upper income ranks have seen their wages rise the most over time. The most likely international factor explaining these wage increases is the skill-biased technological change of the digital revolution. The new AI revolution that has just begun seems to be having a similar skill-biased effects on wages. But this current AI, called "supervised learning," is relatively similar to past technological change. The AI of the distant future will be "unsupervised learning," and it could eventually have an effect on the jobs of the most highly skilled. | |
| 530 | _aHardcopy version available to institutional subscribers | ||
| 538 | _aSystem requirements: Adobe [Acrobat] Reader required for PDF files. | ||
| 538 | _aMode of access: World Wide Web. | ||
| 588 | 0 | _aPrint version record | |
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| 700 | 1 |
_aShaw, Kathryn L. _920637 |
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| 700 | 1 | _aHayes, Grant E. | |
| 700 | 1 | _aJedras, James M. | |
| 710 | 2 | _aNational Bureau of Economic Research. | |
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_aWorking Paper Series (National Bureau of Economic Research) _vno. w30734. |
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| 856 | 4 | 0 | _uhttps://www.nber.org/papers/w30734 |
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_yAcceso en línea al DOI _uhttp://dx.doi.org/10.3386/w30734 |
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_2ddc _cW-PAPER |
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_c390435 _d348997 |
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