User profiles for S. Mullainathan
Sendhil MullainathanUniversity of Chicago Verified email at chicagobooth.edu Cited by 84050 |
Integrating explanation and prediction in computational social science
… For example, a study might seek to reject the null hypothesis that a job applicant’s perceived
race has … Showing that one’s preferred theory cannot be ruled out by the data is therefore an …
race has … Showing that one’s preferred theory cannot be ruled out by the data is therefore an …
A reduced-form approach to behavioral public finance
S Mullainathan, J Schwartzstein… - Annu. Rev. Econ., 2012 - annualreviews.org
… Formally, let the total demand of standard agents be denoted by A S (p) ≡ 1 − F (p). … S
denote welfare when there are only standard agents in the population, and totally differentiate W S …
denote welfare when there are only standard agents in the population, and totally differentiate W S …
Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination
M Bertrand, S Mullainathan - American economic review, 2004 - aeaweb.org
… Using birth certificate data on mother’s education for the different first names used in our
sample, we find little relationship between social background and the namespecific callback …
sample, we find little relationship between social background and the namespecific callback …
How much should we trust differences-in-differences estimates?
…, E Duflo, S Mullainathan - The Quarterly journal of …, 2004 - academic.oup.com
Most papers that employ Differences-in-Differences estimation (DD) use many years of data
and focus on serially correlated outcomes but ignore that the resulting standard errors are …
and focus on serially correlated outcomes but ignore that the resulting standard errors are …
[BOOK][B] Scarcity: Why having too little means so much
S Mullainathan, E Shafir - 2013 - books.google.com
… Now, it’s possible that poor children are simply unskilled at remembering size. So the …
Similarly, scarcity’s capture of attention affects not only what we see or how fast we see it but also …
Similarly, scarcity’s capture of attention affects not only what we see or how fast we see it but also …
Enjoying the quiet life? Corporate governance and managerial preferences
M Bertrand, S Mullainathan - Journal of political Economy, 2003 - journals.uchicago.edu
… We find such a story unconvincing because of Romano’s (1987) evidence of a very exclusive
political process, where the takeover statutes are often passed under the political pressure …
political process, where the takeover statutes are often passed under the political pressure …
Poverty impedes cognitive function
… Because our hypothesis is about how monetary concerns tax the cognitive system, we define
poverty broadly as the gap between one’s needs and the resources available to fulfill them. …
poverty broadly as the gap between one’s needs and the resources available to fulfill them. …
Dissecting racial bias in an algorithm used to manage the health of populations
… An unusual aspect of our dataset is that we observe the algorithm’s inputs and outputs as
well as its objective function, providing us a unique window into the mechanisms by which bias …
well as its objective function, providing us a unique window into the mechanisms by which bias …
Do people mean what they say? Implications for subjective survey data
M Bertrand, S Mullainathan - American Economic Review, 2001 - pubs.aeaweb.org
… full version of this paper (Bertrand and Mullainathan, 2000). … even after controlling for the
individual’s education, sex, and race. … Again, we find that people’s self-reported satisfaction with …
individual’s education, sex, and race. … Again, we find that people’s self-reported satisfaction with …
Machine learning: an applied econometric approach
S Mullainathan, J Spiess - Journal of Economic Perspectives, 2017 - aeaweb.org
… parameter) to separate the data used in the fitting of the function from the data used in the
forming of predicted values; this ensured, for example, that our evaluations of a function’s …
forming of predicted values; this ensured, for example, that our evaluations of a function’s …