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User:Arbraxan/Angrist-Research

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Research on instrumental variables and other econometrics

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One major area of Angrist's research concerns econometrics in general and impact evaluation in particular. Together with Guido Imbens and Donald Rubin, he pioneered the identification and estimation of local average treatment effects[1] and the use of two-stage least squares (2SLS), i.e. a regression technique using instrumental variables, in the estimation of such effects.[2][3] With Alan B. Krueger, Angrist and Imbens have also developed a "jackknife" procedure to address a situation in 2SLS where there may be more instruments than endogenous regressors.[4] Other important contributions of Angrist with regard to the use of instrumental variables methods include the estimation of limited dependent variable models[5] and the integration of treatment effect heterogeneity.[6] Angrist has repeatedly argued in favour of instrumental variables methods as part of a general drive for better research designs and more reliable identification of causal effects in empirical economics,[7][8] including in his popularizations of econometrics with Jörn-Steffen Pischke.[9][10]

Research on education

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Research on the returns to schooling

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  • Angrist, J.D., Krueger, A.B. (1991). Does compulsory school attendance affect schooling and earnings? Quarterly Journal of Economics, 106(4), pp. 979-1014.
  • Angrist, J.D., Krueger, A.B. (1992). Estimating the payoff to schooling using the Vietnam-era draft lottery. NBER Working Paper Series
  • 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.
  • 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.
  • Angrist, J.D. (1995). The economic returns to schooling in the West Bank and Gaza Strip. American Economic Review, ???, pp. 1065-1087.

Research on the determinants of educational attainment

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  • 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.
  • 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.
  • 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.
  • Angrist, J., Lavy, V. (2002). New evidence on classroom computers and pupil learning. Economic Journal, 112(482), pp. 735-765.
  • 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.

Research on education vouchers, charter schools and school accountability

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  • 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.
  • 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.
  • Angrist, J.D. et al. (2012). Who benefits from KIPP? Journal of Policy Analysis and Management, 31(4), pp. 837-860.
  • Angrist, J.D., Pathak, P.A., Walters, C.R. (2013). Explaining charter school effectiveness. American Economic Journal: Applied Economics, 5(4), pp. 1-27.
  • Angrist, J.D. et al. (2010). Inputs and impacts in charter schools: KIPP Lynn. American Economic Review, 100(2), pp. 239-243.
  • 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.
  • 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.

Other research on education

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  • Acemoglu, D., Angrist, J. (1999). How large are the social returns to education? Evidence from compulsory schooling laws. NBER Working Paper Series
  • Acemoglu, D., Angrist, J. (2000). How large are human-capital externalities? Evidence from compulsory schooling laws. NBER Macroeconomics Annual, 15, pp. 9-59.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Research on labour economics

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  • Angrist, J.D. (1990). Lifetime earnings and the Vietnam era draft lottery: evidence from social security administrative records. American Economic Review, ???, pp. 313-336.
  • Angrist, J.D. (1991). Grouped-data estimation and testing in simple labor-supply models. Journal of Econometrics, 47(2-3), pp. 243-266.
  • Angrist, J.D. (1993). The effect of veterans benefits on education and earnings. ILR Review, 46(4), pp. 637-652.
  • 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.
  • Angrist, J. (1995). Estimating the labor market impact of voluntary military service using social security data on military applicants. NBER Working Paper Series
  • Angrist, J.D., Evans, W.N. (1996). Children and their parents' labor supply: Evidence from exogenous variation in family size. NBER Working Paper Series
  • Angrist, J.D., Krueger, A.B. (1999). Empirical strategies in labor economics. Handbook of Labor Economics, vol. 3. Amsterdam: Elsevier, pp. 1277-1366.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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. ???
  • 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.
  • Angrist, J.D. (2014). The perils of peer effects. Labour Economics, 30, pp. 98-108.

Other research

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  • 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.
  • 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.
  1. ^ Angrist, J., Imbens, G. (1995). Identification and estimation of local average treatment effects. Econometrica, 62(2), pp. 467-475.
  2. ^ 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.
  3. ^ 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.
  4. ^ Angrist, J.D., Imbens, G.W., Krueger, A.B. (1999). Jackknife instrumental variables estimation. Journal of Applied Econometrics, 14(1), pp. 57-67.
  5. ^ Angrist, J.D. (2001). Estimation of limited dependent variable models with dummy endogenous regressors: simple strategies for empirical practice. Journal of Business & Economics Statistics, 19(1), pp. 2-28.
  6. ^ Angrist, J.D. (2004). Treatment effect heterogeneity in theory and practice. Economic Journal, 114(494), pp. C52-C83.
  7. ^ 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.
  8. ^ 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.
  9. ^ Angrist, J.D., Pischke, J.-S. (2008). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press.
  10. ^ Angrist, J.D., Pischke, J.-S. (2014). Mastering Metrics: The Path from Cause to Effect. Princeton: Princeton University Press.
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