For information on the regression-discontinuity (RD) design, these references may be helpful. The first 4 are especially good if you are looking for an introduction to the RD design.

1. Trochim, W.M. The Research Methods Knowledge Base, 2nd Edition. Internet WWW page, at URL: http://www.socialresearchmethods.net/kb/quasird.htm

2. Shadish, Cook and Campbell. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston: Houghton Mifflin Company.

3. Mohr, L.B. (1988). Impact Analysis for Program Evaluation. Chicago: Dorsey Press.

4. Judd, C.M. and Kenny, D.A. (1981). Estimating the effects of social interventions. Cambridge, England: Cambridge University Press.

5. Battistin, E. and Rettore, E. (2002). “Another Look at the Regression Discontinuity Design.” Available at URL: http://www.cepr.org/meets/wkcn/4/4528/papers/rettore.pdf

6. Battistin, E. and Rettore, E. (2002). “Eligible Non-Participant and Ineligible Individuals as a Double Control Group in Regression Discontinuity Designs.” Proceedings of Statistics Canada Symposium.

7. Battistin, E. and Rettore, E. (2002). “Testing for Programme Effects in a Regression Discontinuity Design with Imperfect Compliance.” Journal of the Royal Statistical Society A, 165(1), 39-57.

8. Berk, R.A. & de Leeuw, J. (1999). “An evaluation of California’s inmate classification system using a generalized regression discontinuity design.” Journal of the American Statistical Association, 94(448), 1045-1052.

9. Boruch, R.F. (1975). “Coupling randomized experiments and approximations to experiments in social program evaluation.” Sociological Methods and Research, 4(1), 31-53.

10. Cappelleri J.C. & Trochim W.M. (1995). “Ethical and scientific features of cutoff-based designs of clinical trials: A simulation study.” Med. Decis. Making, 15, 387–394.

11. Hahn, J., Todd, P. and Van der Klaauw, W. (2002). “Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design.” Econometrica, 69(1), 201-209.

12. Porter, J. “Estimation in the Regression Discontinuity Model,” manuscript, 2003.

13. Robbins, H. & Zhang, C. (1988). “Estimating a treatment effect under biased sampling.” Proceedings of the National Academy of Sciences of the Untied States of America, 85(11), 3670-3672.

14. Rubin, D.B. (1977). “Assignment to treatment group on the basis of a covariate.” Journal of Educational Statistics, 2(1), 1-26.

15. Stanley, T.D. (1991). “Regression-discontinuity design: By any other name might be less problematic.” Evaluation Review, 15(5), 605-624.

16. Trochim W.M. & Cappelleri J.C. (1992). “Cutoff assignment strategies for enhancing randomized clinical trials.” Controlled Clinical Trials, 13, 190-212.

17. Trochim W.M. (1990). “The Regression-Discontinuity Design.” Research Methodology: Strengthening Causal Interpretations of Nonexperimental Data. Sechrest L., Perrin P., Bunker J. Agency for Health Care Policy and Research, U.S. Public Health Service, Rockville, MD, 119–139.

18. Trochim, W.M. (1980). “The Relative Assignment Variable Approach to Selection Bias in Pretest-Posttest Group Designs.” Available at URL: http://www.amstat.org/sections/srms/Proceedings/papers/1980_078.pdf

19. Trochim, W.M., Cappelleri, J.C., & Reichardt, C.S. (1991). “Random measurement error does not bias the treatment effect estimate in the regression-discontinuity design. II. When an interaction is present.” Evaluation Review, 15(5), 571-604.