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Estimation of Causal Effects in Experiments with Multiple Sources of Noncompliance

  • John Engberg
  • Dennis Epple
  • Jason Imbrogno
  • Holger Sieg
  • Ron Zimmer
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    The purpose of this paper is to study identification and estimation of causal effects in experiments with multiple sources of noncompliance. This research design arises in many applications in education when access to oversubscribed programs is partially determined by randomization. Eligible households decide whether or not to comply with the intended treatment. The paper treats program participation as the outcome of a decision process with five latent household types. We show that the parameters of the underlying model of program participation are identified. Our proofs of identification are constructive and can be used to design a GMM estimator for all parameters of interest. We apply our new methods to study the effectiveness of magnet programs in a large urban school district. Our findings show that magnet programs help the district to attract and retain students from households that are at risk of leaving the district. These households have higher incomes, are more educated, and have children that score higher on standardized tests than households that stay in district regardless of the outcome of the lottery.

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    File URL: http://www.nber.org/papers/w14842.pdf
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    Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 14842.

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    Date of creation: Apr 2009
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    Handle: RePEc:nbr:nberwo:14842
    Note: CH ED PE
    Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
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    Web page: http://www.nber.org
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    1. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, 05.
    2. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-59, July.
    3. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, 01.
    4. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
    5. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
    6. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
    7. Joshua Angrist, 1989. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," Working Papers 631, Princeton University, Department of Economics, Industrial Relations Section..
    8. Cecilia Elena Rouse, 1998. "Private School Vouchers And Student Achievement: An Evaluation Of The Milwaukee Parental Choice Program," The Quarterly Journal of Economics, MIT Press, vol. 113(2), pages 553-602, May.
    9. Julie Berry Cullen & Brian A. Jacob & Steven Levitt, 2003. "The Effect of School Choice on Student Outcomes: Evidence from Randomized Lotteries," NBER Working Papers 10113, National Bureau of Economic Research, Inc.
    10. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
    11. Elizabeth King & Eric Bettinger & Erik Bloom & Joshua Angrist & Michael Kremer, 2002. "Vouchers for private schooling in colombia: Evidence from a randomized natural experiment," Natural Field Experiments 00203, The Field Experiments Website.
    12. Lee, Lung-Fei, 1979. "Identification and Estimation in Binary Choice Models with Limited (Censored) Dependent Variables," Econometrica, Econometric Society, vol. 47(4), pages 977-96, July.
    13. J.D. Angrist & Guido W. Imbens & D.B. Rubin, 1993. "Identification of Causal Effects Using Instrumental Variables," NBER Technical Working Papers 0136, National Bureau of Economic Research, Inc.
    14. Bjorklund, Anders & Moffitt, Robert, 1987. "The Estimation of Wage Gains and Welfare Gains in Self-selection," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 42-49, February.
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