6,414
Views
128
CrossRef citations to date
0
Altmetric
Applications and Case Studies

Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff

Pages 1331-1344 | Received 01 Dec 2013, Published online: 15 Jan 2016

REFERENCES

  • Abadie, A. (2003), “Semiparametric Instrumental Variables Estimation of Treatment Response Models,” Journal of Econometrics, 113, 231–263.
  • Abadie, A., Angrist, J.D., and Imbens, G. (2002), “Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings,” Econometrica, 70, 91–117.
  • Abdulkadiroğlu, A., Angrist, J.D., and Pathak, P. (2014), “The Elite Illusion: Achievement Effects at Boston and New York Exam Schools,” Econometrica, 82, 137–196.
  • Angrist, J.D., and 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, 431–442.
  • Barnow, B.S. (1972), “Conditions for the Presence or Absence of a Bias in Treatment Effect: Some Statistical Models for Head Start Evaluation,” Discussion Paper 122-72, University of Wisconsin-Madison, Madison, WI.
  • Battistin, E., and Rettore, E. (2008), “Ineligibles and Eligible Non-Participants as a Double Comparison Group in Regression-Discontinuity Designs,” Journal of Econometrics, 142, 715–730.
  • Bruce, D.J., and Carruthers, C.K. (2014), “Jackpot? The Impact of Lottery Scholarships on Enrollment in Tennessee,” Journal of Urban Economics, 81, 30–44.
  • Cook, T.D. (2008), “Waiting for Life to Arrive: A History of the Regression-Discontinuity Design in Psychology, Statistics and Economics,” Journal of Econometrics, 142, 636–654.
  • Coviello, D., and Mariniello, M. (2014), “Publicity Requirements in Public Procurement: Evidence from a Regression Discontinuity Design,” Journal of Public Economics, 109, 76--100.
  • de Blasio, G., De Mitri, S., Alessio D’Ignazio, P.F., and Stoppani, L. (2014), “Public Guarantees to SME Borrowing. An RDD Evaluation,” unpublished manuscript, Bank of Italy.
  • Dehejia, R.H., and Wahba, S. (1999), “Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs,” Journal of the American Statistical Association, 94, 1053–1062.
  • DesJardins, S., and McCall, B. (2008), “The Impact of Gates Millennium Scholars Program on the Retention, College Finance- and Work-Related Choices, and Future Educational Aspirations of Low-Income Minority Students,” unpublished manuscript, University of Michigan, Center for the Study of Higher and Postsecondary Education, Ann Arbor, MI.
  • DiNardo, J., and Lee, D.S. (2011), “Program Evaluation and Research Designs,” in Handbook of Labor Economics (Vol. 110), eds., O. Ashenfelter and D. Card, Amsterdam, The Netherlands: Elsevier, pp. 463–536.
  • Dobbie, W., and Fryer, R.G. (2014), “The Impact of Attending a School with High-Achieving Peers: Evidence From the New York City Exam Schools,” American Economic Journal: Applied Economics, 6, 58–75.
  • Dong, Y., and Lewbel, A. (2012), “Identifying the Effects of Changing the Policy Threshold in Regression Discontinuity Models,” unpublished manuscript, Boston College, Boston, MA.
  • Frandsen, B.R., Frölich, M., and Melly, B. (2012), “Quantile Treatment Effects in the Regression Discontinuity Design,” Journal of Econometrics, 168, 382–395.
  • Goldberger, A.S. (1972a), “Selection Bias in Evaluating Treatment Effects: Some Formal Illustrations,” unpublished manuscript, University of Wisconsin-Madison, Madison, WI.
  • (1972b), “Selection Bias in Evaluating Treatment Effects: The Case of Interaction,” unpublished manuscript, University of Wisconsin-Madison, Madison, WI.
  • Hainmueller, J., Hall, A.B., and Snyder, J.M. (2014), “Assessing the External Validity of Election RD Estimates: An Investigation of the Incumbency Advantage,” unpublished manuscript, Stanford University, Stanford, CA.
  • Heckman, J.J., Ichimura, H., and Todd, P. (1998), “Matching as an Econometric Evaluation Estimator,” Review of Economic Studies, 65, 261–294.
  • Hijzen, A., Mondauto, L., and Scarpetta, S. (2013), “The Perverse Effects of Job-Security Provisions on Job Security in Italy: Results from a Regression Discontinuity Design,” IZA Discussion Papers 7594, Bonn, Germany: IZA.
  • Hirano, K., Imbens, G.W., and Ridder, G. (2003), “Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,” Econometrica, 71, 1161–1189.
  • Horvitz, D.G., and Thompson, D.J. (1952), “A Generalization of Sampling Without Replacement From a Finite Universe,” Journal of the American Statistical Association, 47, 663–685.
  • Imbens, G. (2004), “Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review,” Review of Economic Studies, 86, 4–29.
  • Imbens, G., and Angrist, J.D. (1994), “Identification and Estimation of Local Average Treatment Effects,” Econometrica, 62, 467–475.
  • Imbens, G., and Kalyanaraman, K. (2012), “Optimal Bandwidth Choice for the Regression Discontinuity Estimator,” Review of Economic Studies, 79, 933–959.
  • Kline, P.M. (2011), “Oaxaca-Blinder as a Reweighting Estimator,” American Economic Review: Papers and Proceedings, 101, 532–537.
  • Kreisman, D. (2013), “The Effect of Increased Funding on Budget Allocations and Student Outcomes: RD and IV Estimates From Texas's Small District Adjustment,” unpublished manuscript, University of Michigan, Ann Arbor, MI.
  • Lalonde, R.J. (1986), “Evaluating the Econometric Evaluations of Training Programs With Experimental Data,” American Economic Review, 76, 604–620.
  • Lee, D.S. (2008), “Randomized Experiments from Non-Random Selection in U.S. House Elections,” Journal of Econometrics, 142, 675–697.
  • Lee, D.S., and Lemieux, T. (2010), “Regression Discontinuity Designs in Economics,” Journal of Economic Literature, 48, 281–355.
  • Lord, F.M., and Novick, M.R. (1968), Statistical Theories of Mental Test Scores, Reading, MA: Addison-Wesley.
  • Mealli, F., and Rampichini, C. (2012), “Evaluating the Effects of University Grants by Using Regression Discontinuity Designs,” Journal of the Royal Statistical Association, 175, 775–798.
  • Rokkanen, M. (2015), “Exam Schools, Ability, and the Effects of Affirmative Action: Latent Factor Extrapolation in the Regression Discontinuity Design,” Discussion Paper 1415-03, Columbia University, Department of Economics, New York, NY.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.