US

Bureau of Labor Statistics

Question A:

By providing important measures of US economic performance — including employment, consumer prices, wages, job openings, time allocation in households, and productivity — the Bureau of Labor Statistics creates social benefits that exceed its annual cost of roughly $610 million.

Responses weighted by each expert's confidence

Question B:

Cuts in BLS spending would likely involve net social costs because potential declines in the quality of data, and thus their usefulness to researchers and decision makers, would exceed any budget savings.

Responses weighted by each expert's confidence

Question A Participant Responses

Participant University Vote Confidence Bio/Vote History
Acemoglu
Daron Acemoglu
MIT
Strongly Agree
6
Bio/Vote History
Alesina
Alberto Alesina
Harvard
Disagree
2
Bio/Vote History
Altonji
Joseph Altonji
Yale
Strongly Agree
9
Bio/Vote History
BLS data are key to measurement of unemployment, wages, productivity, and labor force trends. It is also key for policy analysis.
Auerbach
Alan Auerbach
Berkeley
Agree
7
Bio/Vote History
Autor
David Autor
MIT
Strongly Agree
10
Bio/Vote History
The U.S. has lead the world in measuring and understanding its own economy. Willfully blinding ourselves would be a step towards darkness
Baicker
Katherine Baicker
University of Chicago
Agree
3
Bio/Vote History
Banerjee
Abhijit Banerjee
MIT
Uncertain
5
Bio/Vote History
Bertrand
Marianne Bertrand
Chicago
Strongly Agree
7
Bio/Vote History
Brunnermeier
Markus Brunnermeier
Princeton
Strongly Agree
9
Bio/Vote History
Spending about $2 per person a year to collect data for evaluating various government programs should pay off.
Chetty
Raj Chetty
Harvard
Strongly Agree
10
Bio/Vote History
Chevalier
Judith Chevalier
Yale
Agree
9
Bio/Vote History
Of course, it is hard to quantify the importance but many economic decisions rely on these data.
Cutler
David Cutler
Harvard
Strongly Agree
10
Bio/Vote History
Deaton
Angus Deaton
Princeton
No Opinion
Bio/Vote History
I don't have enough information, and it is very hard in practice to evaluate public good provision.
Duffie
Darrell Duffie
Stanford
Strongly Agree
6
Bio/Vote History
Edlin
Aaron Edlin
Berkeley
Strongly Agree
9
Bio/Vote History
Just one example: until directed to BLS stats many think inflation much higher than it is. And expectations drive inflation.
Eichengreen
Barry Eichengreen
Berkeley
Strongly Agree
7
Bio/Vote History
Einav
Liran Einav
Stanford
Agree
3
Bio/Vote History
Fair
Ray Fair
Yale
Agree
7
Bio/Vote History
Goldberg
Pinelopi Goldberg
Yale
Agree
6
Bio/Vote History
Goolsbee
Austan Goolsbee
Chicago
Strongly Agree
8
Bio/Vote History
Greenstone
Michael Greenstone
University of Chicago
Strongly Agree
7
Bio/Vote History
Hall
Robert Hall
Stanford
Strongly Agree
8
Bio/Vote History
Hart
Oliver Hart
Harvard
Strongly Agree
8
Bio/Vote History
The BLS provides data, in an objective and neutral manner, that are essential for policy. Its benefits exceed its costs.
Holmström
Bengt Holmström
MIT
Strongly Agree
8
Bio/Vote History
Hoynes
Hilary Hoynes
Berkeley
Strongly Agree
9
Bio/Vote History
Judd
Kenneth Judd
Stanford
Strongly Agree
10
Bio/Vote History
Information is good.
Kaplan
Steven Kaplan
Chicago Booth
Uncertain
3
Bio/Vote History
Do not know exactly whether the money is spent well nor whether private sector alternatives could do better.
Kashyap
Anil Kashyap
Chicago Booth
Strongly Agree
9
Bio/Vote History
we badly under-invest in measuring what happens in the economy & it sometimes hampers policy decisions. see Bernanke's memoir for an example
Klenow
Pete Klenow
Stanford
Strongly Agree
10
Bio/Vote History
The BLS and Census produce vital macro statistics and make anonymized micro data available for public policy-related research.
Levin
Jonathan Levin
Stanford
Strongly Agree
10
Bio/Vote History
Maskin
Eric Maskin
Harvard
Agree
7
Bio/Vote History
Nordhaus
William Nordhaus
Yale
Strongly Agree
9
Bio/Vote History
Saez
Emmanuel Saez
Berkeley
Agree
8
Bio/Vote History
Samuelson
Larry Samuelson
Yale
Agree
8
Bio/Vote History
One cannot hope to make effective economic policy without reliable data.
Scheinkman
José Scheinkman
Columbia University
Agree
4
Bio/Vote History
Shapiro
Carl Shapiro
Berkeley
Strongly Agree
9
Bio/Vote History
Shimer
Robert Shimer
University of Chicago
Strongly Agree
8
Bio/Vote History
BLS data is essential for the Fed at a minimum. $610 million is 0.003% of US GDP.
Thaler
Richard Thaler
Chicago Booth
Strongly Agree
7
Bio/Vote History
Udry
Christopher Udry
Northwestern
Strongly Agree
1
Bio/Vote History
I believe strongly that better evidence generates better policy choices. But I don't have strong evidence to back up that belief.

Question B Participant Responses

Participant University Vote Confidence Bio/Vote History
Acemoglu
Daron Acemoglu
MIT
Strongly Agree
5
Bio/Vote History
Alesina
Alberto Alesina
Harvard
Disagree
2
Bio/Vote History
Altonji
Joseph Altonji
Yale
Strongly Agree
10
Bio/Vote History
The BLS has been underfunded for several years. Key data products are at risk.
Auerbach
Alan Auerbach
Berkeley
Agree
7
Bio/Vote History
Autor
David Autor
MIT
Strongly Agree
10
Bio/Vote History
BLS data are at the heart of good policy in both the public and private sectors. It's a bargain relative to the public and private value.
Baicker
Katherine Baicker
University of Chicago
Agree
1
Bio/Vote History
Banerjee
Abhijit Banerjee
MIT
Uncertain
5
Bio/Vote History
Bertrand
Marianne Bertrand
Chicago
Strongly Agree
7
Bio/Vote History
Brunnermeier
Markus Brunnermeier
Princeton
Agree
7
Bio/Vote History
Chetty
Raj Chetty
Harvard
Agree
7
Bio/Vote History
Chevalier
Judith Chevalier
Yale
Agree
4
Bio/Vote History
Cutler
David Cutler
Harvard
Strongly Agree
10
Bio/Vote History
Deaton
Angus Deaton
Princeton
No Opinion
Bio/Vote History
Duffie
Darrell Duffie
Stanford
Strongly Agree
6
Bio/Vote History
Edlin
Aaron Edlin
Berkeley
Strongly Agree
7
Bio/Vote History
Eichengreen
Barry Eichengreen
Berkeley
Strongly Agree
7
Bio/Vote History
Einav
Liran Einav
Stanford
Uncertain
1
Bio/Vote History
Fair
Ray Fair
Yale
Agree
8
Bio/Vote History
Goldberg
Pinelopi Goldberg
Yale
Agree
6
Bio/Vote History
Goolsbee
Austan Goolsbee
Chicago
Strongly Agree
9
Bio/Vote History
Greenstone
Michael Greenstone
University of Chicago
Strongly Agree
7
Bio/Vote History
Hall
Robert Hall
Stanford
Strongly Agree
8
Bio/Vote History
Hart
Oliver Hart
Harvard
Strongly Agree
8
Bio/Vote History
Same answer as before.
Holmström
Bengt Holmström
MIT
Uncertain
2
Bio/Vote History
Hoynes
Hilary Hoynes
Berkeley
Agree
9
Bio/Vote History
Judd
Kenneth Judd
Stanford
Strongly Agree
10
Bio/Vote History
I doubt we have too much information of excessive quality. Reallocation of resources may be desired, but not cuts.
Kaplan
Steven Kaplan
Chicago Booth
Uncertain
3
Bio/Vote History
Kashyap
Anil Kashyap
Chicago Booth
Strongly Agree
9
Bio/Vote History
Klenow
Pete Klenow
Stanford
Strongly Agree
10
Bio/Vote History
Big data from the private sector is becoming more plentiful, but it cannot match the scope and representativeness of BLS data.
Levin
Jonathan Levin
Stanford
Strongly Agree
6
Bio/Vote History
Maskin
Eric Maskin
Harvard
Agree
7
Bio/Vote History
Nordhaus
William Nordhaus
Yale
Strongly Agree
9
Bio/Vote History
Just turn your headlights off at night on an icy country road to see what is involved in reducing the quality of economic statistics.
Saez
Emmanuel Saez
Berkeley
Agree
7
Bio/Vote History
Samuelson
Larry Samuelson
Yale
Agree
8
Bio/Vote History
Economic policy is often imprecise, but abandoning the data and making policy blindly would be even worse.
Scheinkman
José Scheinkman
Columbia University
Agree
4
Bio/Vote History
Shapiro
Carl Shapiro
Berkeley
Strongly Agree
9
Bio/Vote History
Shimer
Robert Shimer
University of Chicago
Strongly Agree
8
Bio/Vote History
Full disclosure: much of my research uses publicly available BLS data.
Thaler
Richard Thaler
Chicago Booth
Strongly Agree
7
Bio/Vote History
Udry
Christopher Udry
Northwestern
Strongly Agree
1
Bio/Vote History