Joshua Angrist

Joshua David Angrist (born September 18, 1960)[1] is an Israeli American economist and Ford Professor of Economics at the Massachusetts Institute of Technology.[2]

Joshua Angrist
Angrist, Josh Fall2015.jpg
Born (1960-09-18) September 18, 1960 (age 60)
InstitutionMassachusetts Institute of Technology
FieldEconometrics, labour economics
Alma materPrinceton University
Oberlin College
Orley Ashenfelter
Esther Duflo
Melissa Kearney
ContributionsLocal average treatment effect
Information at IDEAS / RePEc

He ranks among the world's top economists in labour economics,[3] urban economics,[4] and the economics of education,[5] and is known for his use of quasi-experimental research designs (such as instrumental variables) to study the effects of public policies and changes in economic or social circumstances. He is a co-founder and co-director of the MIT's School Effectiveness & Inequality Initiative,[6] which studies the relationship between human capital and income inequality in the U.S.


Born in Columbus, Ohio and raised in Pittsburgh, Pennsylvania, Angrist attended Oberlin College, where he received his B.A. in economics in 1982. He lived in Israel from 1982 until 1985. Angrist received a M.A. and a Ph.D. in economics from Princeton University in, respectively, 1987 and 1989. His doctoral dissertation, Econometric Analysis of the Vietnam Era Draft Lottery, was supervised by Orley Ashenfelter and later published in parts in the American Economic Review.[7] After completing his Ph.D., Angrist joined Harvard University as an assistant professor until 1991, when he returned to Israel as a senior lecturer at the Hebrew University.[8] After being promoted to associate professor at Hebrew University, he joined MIT's Economics Department in 1996 as associate professor, before being raised to full professor in 1998. Since 2008, he has been MIT's Ford Professor of Economics and teaches econometrics and labour economics to its students. Angrist is affiliated with the National Bureau of Economic Research,[9] the IZA Institute of Labor Economics, the American Economic Association, American Statistical Association, Econometric Society, Population Association of America and the Society of Labor Economists. In terms of professional service, he has performed editorial duties at the journals Econometrica, American Economic Review, American Economic Journal: Applied Economics, Journal of Business and Economic Statistics, Economics Letters, Labour Economics and the Journal of Labor Economics.

Angrist holds dual US-Israeli citizenship[10] and lives in Brookline, Massachusetts.


Joshua Angrist's research interests include the economics of education and school reform, social programmes and the labour market, the effects of immigration, labour market regulation and institutions, and econometric methods for programme and policy evaluation.[11] He ranks among top 50 out of over 56,000 economists registered on IDEAS/RePEc in terms of research output.[12] He is a frequent co-author of Guido Imbens, Alan B. Krueger, Victor Lavy, Parag Pathak and Jorn-Steffen Pischke.[13] Together with Pischke, Angrist published Mostly Harmless Econometrics in 2009, in which they explore econometric tools used by empirical researchers.[14] In 2014, Angrist and Pischke released Mastering 'Metrics': The Path from Cause to Effect, which is targeted at undergraduate econometrics students.

Economics of educationEdit

Research on the returns to schoolingEdit

The bulk of Angrist's research has concentrated on the economics of education, beginning with the returns to schooling. In one early study, Angrist and Krueger exploited the relationship between children's season of birth and educational attainment that is due to policies and laws setting ages for school start and compulsory schooling, finding that returns to education are close to their OLS estimates[15] and that compulsory attendance laws constrain roughly 10% of students to stay in school who would have otherwise left.[16] Another early attempt at using IV to estimate returns to schooling by Angrist and Krueger was to exploit the Vietnam-era draft lottery.[17] However, while their later research on split-sample IVs confirmed the findings of their compulsory schooling research, it failed to support the returns to schooling estimates derived from the draft-lottery research.[18] Angrist further used variation in U.S. compulsory schooling laws in research with Daron Acemoglu in order to estimate human-capital externalities, which they found to be about 1% and not statistically significant.[19] Angrist has also studied the strong decrease in the economic returns to schooling in the West Bank and Gaza Strip in the 1980s.[20] Together with Lavy, Angrist has also explored the returns to schooling in Morocco, exploiting a change in its language of instruction from French to Arabic to find that policy substantially reduced Moroccan youths' returns to schooling by deteriorating their French writing skills.[21]

Research on the determinants of student learningEdit

Another strand of Angrist's research in the economics of education concerns the impact of various inputs and rules on learning. For instance, in further work with Lavy, Angrist exploited Maimonides' Rule, which limits class size to 40 students, in order to study the impact of class size on scholastic achievement in Israeli schools, finding that class size reduction substantially increase test scores for 4th and 5th graders, albeit not for 3rd graders.[22] In further research at Israeli schools, they find that teacher training can cost-effectively improve students' test scores (at least in secular schools),[23] that computer-aided instruction doesn't [24] and that cash incentives raised high school achievement among girls (by inducing them to increase time invested into exam preparation) but were ineffective for boys.[25] Similarly, in a study by Angrist, Philip Oreopoulos and Daniel Lang comparing the impact of academic support services, financial incentives and a combination of both on Canadian college first-year students, the combined treatment raised the grades of women throughout their first and second years but had no impact on men.[26] In research on school vouchers for private schools in Colombia with Eric Bettinger, Erik Bloom, Elizabeth King and Michael Kremer, Angrist found voucher recipients 10 pp more likely to finish lower secondary school, 5-7 pp more likely to complete high school, and to score 0.2 standard deviations higher on tests, suggesting that the vouchers' benefits likely exceeded their $24 cost.[27][28] Another subject of Angrist's research are peer effects in education,[29] which he has e.g. explored with Kevin Lang in the context of METCO's school integrations or with Atila Abdulkadiroglu and Parag Pathak in Boston's and New York City's over-subscribed exam schools, though the effects that they find are brief and modest in both cases.[30][31] With regard to the effect of teacher testing, which Angrist has studied with Jonathan Guryan in the U.S., he finds that state-mandated teacher testing raises teachers' wages without raising their quality, though it decreases teacher diversity by reducing the fraction of new teachers who are Hispanic.[32] In work with Lavy and Analia Schlosser, Angrist has also explored Becker's hypothesis on a trade-off between child quality and quantity by exploiting variation in twin births and parental preferences for compositions of siblings of mixed sexes, with evidence rejecting the hypothesis.[33]

Research on charter schoolsEdit

Since the late 2000s, Angrist has conducted extensive research on charter schools in the U.S. with Pathak, Abdulkadiroglu, Susan Dynarski, Thomas Kane, and Christopher Walters. For instance, studying the KIPP Lynn Academy, they estimate that KIPP Lynn attendance increased students' math scores by 0.35 SD and their English scores by 0.12 SD,[34] with most of the gains accruing to students with limited English proficiency or special education needs or those who scored low at baseline.[35] Beyond KIPP Lynn, they find attendance to Boston charter schools to generally increase test scores for middle and high school students, especially for schools with binding assignment lotteries, whereas pilot schools (public schools covered by some collective bargaining provisions and more independence concerning educational policies) generally have at best statistically insignificant or small effects on students' test scores.[36] Further research has attributed the relative efficacy of urban charter schools to these schools' embrace of the No Excuses approach to urban education which emphasizes student discipline and behaviour, traditional reading and math skills, instruction time, and selective teacher hiring.[37]

Labour economicsEdit

Similar to his research on the economics of education, Angrist's research on labour economics also often seeks to exploit quasi-natural experiments to identify causal relationships. In a publication derived from his dissertation, Angrist e.g. exploits the military draft lottery during the Vietnam War to estimate that fighting in Vietnam reduced veterans' lifetime earnings by about 15% relative to those of nonveterans.[38] Taking into account veterans' benefits that subsidized education and training (e.g. through the G.I. Bill), he finds that these benefits raised schooling in the U.S. by ca. 1.4 years and veterans' earnings by 6%.[39] In further work exploiting the idiosyncrasies of U.S. military recruitment, Angrist studies the labour market impact of voluntary military service in the 1980s, estimating that voluntary soldiers serving in the 1980s earned considerably more than comparable civilians while serving and experienced comparatively higher employment rates thereafter, even though it raised their long-run civilian earnings at best modestly and - for whites - reduced them.[40] Together with Krueger, Angrist also investigated with Krueger whether U.S. World War II veterans earned more than nonveterans, finding instead that they earned at most as much as comparable nonveterans.[41] Angrist and Krueger later on summarized their work on causality in labour economics in a chapter of the Handbook of Labor Economics, with special emphasis on controls for confounding variables, fixed effects models and difference-in-differences, instrumental variables estimation and regression discontinuity designs.[42] In another study related to the U.S. military, Angrist and John H. Johnson IV use the Gulf War to estimate the effects of work-related separations on military families, showing large differences between the impact of male and female soldiers' deployment on divorce rates and spousal labour supply.[43] In work with William Evans, Angrist exploited families' preference for having siblings of mixed sex to estimate children's impact on parental labour supply, observing that family size had no impact on husbands' labour supply and that the impact on women was being overestimated through OLS.[44] In further work with Evans, he also explored the impact of the 1970 state abortion reforms on schooling and labour market outcomes, arguing that they reduced Afro-American teen fertility and thereby raised black women's rates of high school completion, college attendance and employment.[45] In another study with Acemoglu, Angrist has also analysed the consequences of the Americans with Disabilities Act of 1990 (ADA), finding a sharp drop in employment of persons with disabilities (PwDs) shortly after its inception, thus suggesting that ADA has likely hurt PwDs' labour market outcomes.[46] Angrist has also studied the U.S. marriage market, finding - by exploiting endogamy in marriages - that high male-female sex ratios increased the likelihood of female marriage and decreased their labour force participation.[47] Together with Adriana Kugler, Angrist finds that labour market institutions that reduce labour market flexibility exacerbate native job losses from immigration, especially regarding restricted product markets.[48] Angrist and Kugler also investigated the relationship between coca prices and civil conflict in Colombia, observing that financial opportunities offered by coca cultivation fueled the conflict, with cultivated rural areas witnessing pronounced increases in violence.[49]


Besides his empirical research, Angrist has also made major contributions to econometrics, especially concerning the use of instrumental variables estimations. For instance, Angrist developed a two-stage least squares (2SLS) equivalent of the efficient Wald estimator.[50] Together with Guido Imbens, he developed the concept of local average treatment effects and showed how to identify and to estimate them,[51] and how to use 2SLS to estimate the average causal effect of variable treatments.[52] In further work with Imbens and Donald Rubin, Angrist then showed how instrumental variables can be embedded within the Rubin causal model in order to identify causal effects between variables.[53] Angrist also developed with Imbens and Krueger so-called "jackknife instrumental variables estimators" to address the bias in 2SLS estimates in over-identified models[54] and has explored the interpretation of IV estimators in simultaneous equations models along with Imbens and Kathryn Graddy.[55] Again with Imbens, along with Alberto Abadie, he has also studied the effect of subsidized training due to the Job Training Partnership Act of 1982 on the quantiles of trainee earnings, finding large effects of JTPA on low-wage female workers but significant effects on men only for the upper half of the male trainee earnings distribution.[56] With regard to limited dependent variable models with binary endogenous regressors, Angrist argues in favour of using 2SLS, multiplicative models for conditional means, linear approximation of non-linear causal models, models for distribution effects, and quantile regression with an endogenous binary regressor.[57] Angrist has also explored the link between local average treatment effects and population average treatment effects, i.e., the external validity of IV estimates.[58] Finally, along with Victor Chernozhukov and Iván Fernández-Val, Angrist has also explored quantile regressions, showing that they minimize a weighted MSE loss function for specification error.[59]

In articles with Krueger as well as with Jorn-Steffen Pischke in the Journal of Economic Perspectives, Angrist has repeatedly made the case for a focus on the identification of causality in economics, e.g. using instrumental variables;[60] in particular, Angrist has argued in 2010 in response to Edward Leamer's 1983 critique of econometrics that microeconomics had experienced since then a "credibility revolution" thanks to substantial improvements in empirical research designs and renewed attention to causal relationships.[61]

Honours and awardsEdit

Angrist is a Research Fellow at the Institute for the Study of Labor (IZA). He is also a fellow of the Econometric Society. He was elected a Fellow of the American Academy of Arts and Sciences in 2006.[62] In 2007 Angrist received an honorary doctorate in Economics from the University of St. Gallen.[63] He is the recipient of the 2011 John von Neumann Award given annually by the Rajk László College for Advanced Studies in Budapest.

See alsoEdit


  1. ^
  2. ^ "MIT Economics: Joshua Angrist". Retrieved 11 May 2011.
  3. ^ Joshua Angrist ranked 15th among 3037 authors registered in the field of labour economics on IDEAS/RePEc. Retrieved July 20th, 2019.
  4. ^ Joshua Angrist ranked 4th among 3323 authors registered in the field of urban and real estate economics on IDEAS/RePEc. Retrieved July 20th, 2019.
  5. ^ Joshua Angrist ranked 3rd among 1427 authors registered in the field of education on IDEAS/RePEc. Retrieved July 20th, 2019.
  6. ^ "School Effectiveness & Inequality Initiative: Joshua Angrist". 11 May 2012.
  7. ^ Angrist, Joshua D. (1990). "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records". American Economic Review. 80 (3): 313–336. JSTOR 2006669.
  8. ^ "Curriculum Vitae: Joshua D.Angrist". Retrieved 10 June 2011.
  9. ^ "NBER: Joshua Angrist". Retrieved 11 May 2012.
  10. ^ "NBER Profile: Joshua Angrist". National Bureau of Economic Research. Retrieved 10 June 2011.
  11. ^ Short biography of Joshua Angrist on the website of MIT. Retrieved July 20th, 2019.
  12. ^ Joshua Angrist ranks 47th out of 56344 authors registered on IDEAS/RePEc. Retrieved July 20th, 2019.
  13. ^ Google Scholar page of Joshua Angrist. Retrieved July 20th, 2019.
  14. ^ "Mostly Harmless Econometrics". Princeton University Press. Retrieved 11 May 2012.
  15. ^ Angrist, J.D., Krueger, A.B. (1991). Does compulsory school attendance affect schooling and earnings? Quarterly Journal of Economics, 106(4), pp. 979-1014.
  16. ^ Angrist, J.D., Krueger, A.B. (1992). The effect of age at school entry on educational attainment: an application of instrumental variables with moments from two samples. Journal of American Statistical Association, 87(418), pp. 328-336.
  17. ^ Angrist, J.D., Krueger, A.B. (1992). Estimating the payoff to schooling using the Vietnam-era draft lottery. NBER Working Paper Series, No. 4067.
  18. ^ Angrist, J.D., Krueger, A.B. (1995). Split-sample instrumental variables estimates of the return to schooling. Journal of Business & Economics Statistics, 13(2), pp. 225-235.
  19. ^ Acemoglu, D., Angrist, J. (2000). How large are human-capital externalities? Evidence from compulsory schooling laws. NBER Macroeconomics Annual, 15, pp. 9-59.
  20. ^ Angrist, J.D. (1995). The economic returns to schooling in the West Bank and Gaza Strip. American Economic Review, 85(5), pp. 1065-1087.
  21. ^ Angrist, J.D., Lavy, V. (1997). The Effect of a Change in Language of Instruction on the Returns to Schooling in Morocco. Journal of Labor Economics, 15(1), pp. S48-S76.
  22. ^ Angrist, J.D., Lavy, V. (1999). Using Maimonides' rule to estimate the effect of class size on scholastic achievement. Quarterly Journal of Economics, 114(2), pp. 533-575.
  23. ^ Angrist, J.D., Lavy, V. (2001). Does teacher training affect pupil learning? Evidence from matched comparisons in Jerusalem public schools. Journal of Labor Economics, 19(2), pp. 343-369.
  24. ^ Angrist, J., Lavy, V. (2002). New evidence on classroom computers and pupil learning. Economic Journal, 112(482), pp. 735-765.
  25. ^ Angrist, J., Lavy, V. (2009). The effects of high stakes school achievement awards: Evidence from a randomized trial. American Economic Review, 99(4), pp. 1384-1414.
  26. ^ Angrist, J., Lang, D., Oreopoulos, P. (2009). Incentives and services for college achievement: Evidence from a randomized trial. American Economic Journal: Applied Economics, 1(1), pp. 136-163.
  27. ^ Angrist, J. et al. (2002). Vouchers for private schooling in Colombia: Evidence from a randomized natural experiment. American Economic Review, 92(5), pp. 1535-1558.
  28. ^ Angrist, J. Bettinger, E., Kremer, M. (2006). Long-term educational consequences of secondary school vouchers: Evidence from administrative records in Colombia. American Economic Review, 96(3), pp. 847-862.
  29. ^ Angrist, J.D. (2014). The perils of peer effects. Labour Economics, 30, pp. 98-108.
  30. ^ Angrist, J.D., Lang, K. (2004). Does school integration generate peer effects? Evidence from Boston's Metco Program. American Economic Review, 94(5), pp. 1613-1634.
  31. ^ Abdulkadiroglu, A., Angrist, J., Pathak, P. (2014). The elite illusion: Achievement effects at Boston and New York exam schools. Econometrica, 82(1), pp. 137-196.
  32. ^ Angrist, J.D., Guryan, J. (2008). Does teacher testing raise teacher quality? Evidence from state certification requirements. Economics of Education Review, 27(5), pp. 483-503.
  33. ^ Angrist, J., Lavy, V., Schlosser, A. (2010). Multiple experiments for the causal link between the quantity and quality of children. Journal of Labor Economics, 28(4), pp. 773-824.
  34. ^ Angrist, J.D. et al. (2010). Inputs and impacts in charter schools: KIPP Lynn. American Economic Review, 100(2), pp. 239-243.
  35. ^ Angrist, J.D. et al. (2012). Who benefits from KIPP? Journal of Policy Analysis and Management, 31(4), pp. 837-860.
  36. ^ Abdulkadiroglu, A. et al. (2011). Accountability and flexibility in public schools: Evidence from Boston's charters and pilots. Quarterly Journal of Economics, 126(2), pp. 699-748.
  37. ^ Angrist, J.D., Pathak, P.A., Walters, C.R. (2013). Explaining charter school effectiveness. American Economic Journal: Applied Economics, 5(4), pp. 1-27.
  38. ^ Angrist, J.D. (1990). Lifetime earnings and the Vietnam era draft lottery: evidence from social security administrative records. American Economic Review, 80(3), pp. 313-336.
  39. ^ Angrist, J.D. (1993). The effect of veterans benefits on education and earnings. ILR Review, 46(4), pp. 637-652.
  40. ^ Angrist, J. (1998). Estimating the labor market impact of voluntary military service using social security data on military applicants. Econometrica, 66(2), pp. 249-288.
  41. ^ Angrist, J., Krueger, A.B. (1994). Why do World War II veterans earn more than nonveterans? Journal of Labor Economics, 12(1), pp. 74-97.
  42. ^ Angrist, J.D., Krueger, A.B. (1999). Empirical strategies in labor economics. In: Ashenfelter, O.C., Card, D. (eds.) Handbook of Labor Economics, vol. 3A. Amsterdam: Elsevier, pp. 1277-1366.
  43. ^ Angrist, J.D., Johnson J.H. IV (2000). Effects of work-related absences on families: Evidence from the Gulf War. ILR Review, 54(1), pp. 41-58.
  44. ^ Angrist, J.D., Evans, W.N. (1996). Children and their parents' labor supply: Evidence from exogenous variation in family size. American Economic Review, 88(3), pp. 450-477.
  45. ^ Angrist, J.D., Evans, W.N. (2000). Schooling and labor market consequences of the 1970 state abortion reforms. Research in Labor Economics, pp. 75-113.
  46. ^ Acemoglu, D., Angrist, J.D. (2001). Consequences of employment protection? The case of the Americans with Disabilities Act. Journal of Political Economy, 109(5), pp. 915-957.
  47. ^ Angrist, J. (2002). How do sex ratios affect marriage and labor markets? Evidence from America's second generation. Quarterly Journal of Economics, 117(3), pp. 997-1038.
  48. ^ Angrist, J.D., Kugler, A.D. (2003). Protective or counter-productive? Labour market institutions and the effect of immigration on EU natives. Economic Journal, 113(488), pp. F302-F331.
  49. ^ Angrist, J.D., Kugler, A.D. (2008). Rural windfall or a new resource curse? Coca, income, and civil conflict in Colombia. Review of Economics and Statistics, 90(2), pp. 191-215.
  50. ^ Angrist, J.D. (1991). Grouped-data estimation and testing in simple labor-supply models. Journal of Econometrics, 47(2-3), pp. 243-266.
  51. ^ Angrist, J., Imbens, G. (1994). Identification and estimation of local average treatment effects. Econometrica, 62(2), pp. 467-475.
  52. ^ Angrist, J.D., Imbens, G.W. (1995). Two-stage least squares estimation of average causal effects in models with variable treatment intensity. Journal of the American Statistical Association, 90(430), pp. 431-442.
  53. ^ Angrist, J.D., Imbens, G.W., Rubin, D.B. (1996). Identification of causal effects using instrumental variables. Journal of the American Statistical Association, 91(434), pp. 444-455.
  54. ^ Angrist, J.D., Imbens, G.W., Krueger, A.B. (1999). Jackknife instrumental variables estimation. Journal of Applied Econometrics, 14(1), pp. 57-67.
  55. ^ Angrist, J.D., Graddy, K., Imbens, G.W. (2000). The interpretation of instrumental variables estimators in simultaneous equations models with an application to the demand for fish. Review of Economic Studies, 67(3), pp. 499-527.
  56. ^ Abadie, A., Angrist, J., Imbens, G. (2002). Instrumental variables estimates of the effects of subsidized training on the quantiles of trainee earnings. Econometrica, 70(1), pp. 91-117.
  57. ^ Angrist, J.D. (2001). Estimation of limited dependent variable models with dummy endogenous regressors: simple strategies for empirical practice. Journal of Business & Economics Statistic, 19(1), pp. 2-28.
  58. ^ Angrist, J.D. (2004). Treatment effect heterogeneity in theory and practice. Economic Journal, 114(494), pp. C52-C83.
  59. ^ Angrist, J., Chernozhukov, V., Fernández-Val, I. (2006). Quantile regression under misspecification, with an application to the US wage structure. Econometrica, 74(2), pp. 539-563.
  60. ^ Angrist, J.D., Krueger, A.B. (2001). Instrumental variables and the search for identification: From supply and demand to natural experiments. Journal of Economic Perspectives, 15(4), pp. 69-85.
  61. ^ Angrist, J.D., Pischke, J.-S. (2010). The credibility revolution in empirical economics: How better research design is taking the con out of econometrics. Journal of Economic Perspectives, 24(2), pp. 3-30.
  62. ^ "Book of Members, 1780–2010: Chapter A" (PDF). American Academy of Arts and Sciences. Retrieved 18 April 2011.
  63. ^

External linksEdit