Isaiah Smith Andrews | |
|---|---|
| Born | 1986 (age 39–40) |
| Academic background | |
| Education | Yale University (BA) Massachusetts Institute of Technology (PhD) |
| Doctoral advisor | Anna Mikusheva |
| Academic work | |
| Discipline | Econometrics |
| Institutions | Harvard University Massachusetts Institute of Technology Harvard Society of Fellows |
| Awards | 2020 MacArthur Fellow 2021 John Bates Clark Medal |
| Website | |
Isaiah Andrews (born 1986) is an American economist who is a professor of economics at theMassachusetts Institute of Technology and a research associate of theNational Bureau of Economic Research. He is also a co-editor of theAmerican Economic Review.[1] In 2018,The Economist named him one of the 8 "best young economists of the decade."[2] He was named aMacArthur Fellow in 2020[3] and in 2021, theAmerican Economic Association awarded him theJohn Bates Clark Medal.[4][5]
Andrews grew up in Brookline, Massachusetts, the son of Yale-educated economists Marcellus Andrews and Cheryl Smith.[6] He graduated fromYale University in 2009 with a degree in math and economics[1] and completed a doctorate in economics at theMassachusetts Institute of Technology in 2014, where his dissertation advisor wasAnna Mikusheva.[7]
Andrews was the Silverman (1968) Family Career Assistant Professor and an associate professor at the Massachusetts Institute of Technology from 2016 to 2018, when he joined the faculty at Harvard.[3] In 2023, he returned to MIT as a professor.
After his MacArthur win, Andrews, who is Black and gay, commented, “I hope that my getting this grant will help to demonstrate and show that there is room for success from a wide variety of folks in the economics profession.”[8]
He was elected a fellow of theEconometric Society in 2020.[9]
Much of Andrew's research is in the field ofeconometrics, and concernsinstrumental variables. Instrumental variables are variables that affect one part of a co-determined system without affecting another part of the same system. For this type of estimation to be effective, an instrumental variable must satisfy the relevance condition, that is, it must affect one part of the system, and it must satisfy the exclusion restriction, that is, it must not affect the other part of the system. Andrews' research concerns situations in which either the relevance condition or the exclusion restriction hold only weakly. Together with Mikusheva, he has studied the properties of weak instruments in estimatingdynamic stochastic general equilibrium models and other economic models that employ nonlinearGeneralized Method of Moments statistics models. They have proposed methods to more accuratelytest hypotheses and constructconfidence intervals under these statistical conditions. Together withGentzkow andShapiro, he has developed a measure of the potential bias in estimators due to violations of the exclusion restriction (sensitivity). Together with Kasy, he has developed a method to correct forpublication bias inreplication studies andmeta-analyses.[1]