وزارت بهداشت، درمان و آموزش پزشکی. (1379). سیمای جمعیت و سلامت در جمهوری اسلامی ایران. تهران: وزارت بهداشت، درمان و آموزش پزشکی.
Abadie, A., Druckker, D., Herr, J.L., and Imbens, G.W. (2001). “Implementing matching estimators for average treatment effects in Stata”, The Stata Journal 1, 1-18.
Becker, S.O., and Ichino, A. (2002). “Estimation of average treatment effects based on propensity scores”, The Stata Journal, 2, 358-77.
Blundell, R., Dearden, L., & Sianesi, B. (2005). “Evaluating the impact of education on earnings in UK: Models, methods and results from the NCDS”, Journal of the Royal Statistical Society, Series A, 168, 473-512.
Caliendo, M. (2006). “Microeconomic Evaluation of Labour Market Policies”, Berlin: Springer.
Cochran, W. (1968). “The effectiveness of adjustment by subclassification in removing bias in observational studies”, Biometrics, 24, 295-314.
Dehejia, R.H., & Wahba, S. (1999). “Causal effects in nonexperimental studies: Reevaluating the evaluation of training programs”, Journal of the American Statistical Association, 94, 1053-1062.
Heckman, J.J. (1992). “Randomization and social policy evaluation”, in Manski, C.F. and Garfinkel, I. (eds), Evaluating Welfare and Training Programs, Cambridge, MA: Harvard University Press, pp. 201-30.
Heckman, J.J., Ichimora, H., & Todd, P. (1997). “Matching as an econometric evaluation estimator: Evidence from a job training programme”, Review of Economic Studies, 64, 605-654.
Heckman, J.J., Ichimora, H., & Todd, P. (1998). “Matching as an econometric evaluation estimator”, Review of Economic Studies, 65,261-94.
Holland, P.W. (1986). “Statistics and causal inference (with discussion)”, Journal of American Statistical Association, 81, 945-70.
Imbens, G. (2004). “Nonparametric estimation of average treatment effects under exogeneity: A review”, Review of Economics and Statistics, 86, 4-29.
Leuven, E. and Sianesi, B. (2003). “Psmatch2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing,” http://ideas.repec.org/c/boc/bocode/s432001.html,versionx.x.x.
Marini, M.M., and Singer, B. (1998). “Causality in the social sciences” Sociological Methodology, 18, 347-409.
Morgan, S. and Harding, D.J. (2006). “Matching estimators of causal effects: Prospects and pitfalls in theory and practice”, Sociological Methods and Research, 35, 3-60.
Rosenbaum, P.R., & Rubin, D.B. (1983). “The central role of propensity score in observational studies for causal effects”, Biometrika, 76, 41-55.
Rubin, D.B. (1980). “Comment on “Randomization analysis of experimental data: The Fisher randomization test,” by D. Basu”, Journal of the American Statistical Association, 75, 591-593.
Rubin, D.B., & Thomas, N. (1996). “Matching using estimated propensity scores: Relating theory to practice”, Biometrics, 52, 249-264.
Sianesi, B. (2004). “An evaluation of the Swedish system of active labour market programmes in the 1990s”, Review of Economics and Statistics, 86, 133-155.
Smith, J., & Todd, P. (2005). “Does matching overcome LaLonde’s critique of nonexperimental estimators?”, Journal of Econometrics, 125, 305-353.
Statistical Centre of Iran (2008). Iran Statistical Yearbook 1385 [2006–2007], Tehran: Statistical Centre of Iran.
Weber, Max (1958). The Protestant Ethic and the Spirit of Capitalism. New York: Charles Scribner’s Sons.
- Winship, C. and Sobel, M. (2004). “ Causal Inference in Sociological Studies”, in Hardy, M. and A. Bryman (eds), Handbook of Data Analysis, London: Sage Publications.