One of the leading reasons for rising U.S. income inequality over the past three decades is that technological change has affected workers with some skill sets differently than others.
Responses
© 2025. Kent A. Clark Center for Global Markets.
5%
0%
0%
5%
10%
54%
27%
Responses weighted by each expert's confidence
© 2025. Kent A. Clark Center for Global Markets.
0%
4%
8%
54%
34%
Participant |
University |
Vote |
Confidence |
Bio/Vote History |
---|---|---|---|---|
![]() Daron Acemoglu |
MIT | Bio/Vote History | ||
But, importantly, it is not the only factor. The other three are: slower growth in the supply of skills; institutional changes; and trade.
|
||||
![]() Alberto Alesina |
Harvard | Bio/Vote History | ||
|
||||
![]() Joseph Altonji |
Yale | Bio/Vote History | ||
There is a lot of evidence that technical change has favored more skilled workers over the past 3 decades
-see background information here |
||||
![]() Alan Auerbach |
Berkeley | Bio/Vote History | ||
|
||||
![]() David Autor |
MIT | Bio/Vote History | ||
It's not the only factor. Two others: slowing supply of skilled workers, and (probably) distorted pay-setting at the very top.
|
||||
![]() Katherine Baicker |
University of Chicago | Bio/Vote History | ||
|
||||
![]() Marianne Bertrand |
Chicago | Bio/Vote History | ||
|
||||
![]() Raj Chetty |
Harvard | Bio/Vote History | ||
|
||||
![]() Judith Chevalier |
Yale | Bio/Vote History | ||
There are certainly many other factors, such as the tax code, etc.
|
||||
![]() Janet Currie |
Princeton | Bio/Vote History | ||
Increasing demand for skill is an underlying factor driving increased inequality though institutional changes are also important.
|
||||
![]() David Cutler |
Harvard | Bio/Vote History | ||
|
||||
![]() Angus Deaton |
Princeton | Bio/Vote History | ||
I think there is excellent evidence on this, though it is also clear that much else is going on. Nor does the tech story imply benignity.
|
||||
![]() Darrell Duffie |
Stanford | Bio/Vote History | ||
This partial explanation does not lessen the policy importance of addressing the downside effects, including loss of social cohesion.
|
||||
![]() Aaron Edlin |
Berkeley | Did Not Answer | Bio/Vote History | |
|
||||
![]() Barry Eichengreen |
Berkeley | Bio/Vote History | ||
|
||||
![]() Ray Fair |
Yale | Bio/Vote History | ||
|
||||
![]() Pinelopi Goldberg |
Yale | Bio/Vote History | ||
|
||||
![]() Claudia Goldin |
Harvard | Bio/Vote History | ||
But that is only the demand side. The slowdown in the supply of these skill sets is just as important (or more). You need the SS side too.
|
||||
![]() Austan Goolsbee |
Chicago | Bio/Vote History | ||
The data are pretty obvious that this is a key factor. Not the only one, but a very significant one.
|
||||
![]() Michael Greenstone |
University of Chicago | Bio/Vote History | ||
Seems self-evident but technological change cannot be measured directly; is this a falsifiable hypothesis? what would Karl Popper say?
|
||||
Robert Hall |
Stanford | Bio/Vote History | ||
Managers and financial salesmen account for most of the earnings growth at the top end. Not clear that tech change is responsible.
|
||||
![]() Bengt Holmström |
MIT | Bio/Vote History | ||
|
||||
![]() Caroline Hoxby |
Stanford | Bio/Vote History | ||
It's likely that technological progress has favored high aptitude people. The evidence is only indirect,however: it's a residual explanation
|
||||
![]() Kenneth Judd |
Stanford | Bio/Vote History | ||
|
||||
![]() Anil Kashyap |
Chicago Booth | Bio/Vote History | ||
Hard to quantify the exact contribution, but it is undoubtedly big. Also tricky in that it partially interacts with education and trade.
|
||||
![]() Pete Klenow |
Stanford | Bio/Vote History | ||
![]() Edward Lazear |
Stanford | Bio/Vote History | ||
The distribution has spread out at all relevant deciles. The question that remains is why the skill gap is not closing.
|
||||
![]() Jonathan Levin |
Stanford | Did Not Answer | Bio/Vote History | |
|
||||
![]() William Nordhaus |
Yale | Bio/Vote History | ||
Although this is a common view, the causal factors are too complex to untangle unambiguously.
|
||||
![]() Maurice Obstfeld |
Berkeley | Bio/Vote History | ||
|
||||
![]() Cecilia Rouse |
Princeton | Bio/Vote History | ||
Although there is some evidence to the contrary, the nature of occupational change and returns to schooling suggest it's important.
|
||||
![]() Emmanuel Saez |
Berkeley | Bio/Vote History | ||
Big debate on institutions vs. technology in labor economics. Technology is too narrow an explanation as it interacts with institutions.
|
||||
![]() José Scheinkman |
Columbia University | Bio/Vote History | ||
|
||||
![]() Richard Schmalensee |
MIT | Bio/Vote History | ||
|
||||
![]() Hyun Song Shin |
Princeton | Bio/Vote History | ||
|
||||
![]() James Stock |
Harvard | Bio/Vote History | ||
![]() Nancy Stokey |
University of Chicago | Bio/Vote History | ||
Investment-specific technical change together with capital-skill complementarity explains much of the increase in the skill premium.
|
||||
![]() Richard Thaler |
Chicago Booth | Bio/Vote History | ||
Compared to what? More than 1% have good tech skills. Education disparities and tax policies surely more important.
|
||||
![]() Christopher Udry |
Northwestern | Bio/Vote History | ||
This is hard to quantify, but the limited evidence is supportive.
|
||||
![]() Luigi Zingales |
Chicago Booth | Bio/Vote History | ||
The statement is likely to be true but it does not address why the technology moved that way.
|