Does the educational management model matter? New evidence from a quasiexperimental approach

Allen R, Vignoles A (2015) Can school competition improve standards? The case of faith schools in England. Empir Econ 50(3):959–973

Altonji J, Elder T, Taber C (2005) Selection on observed and unobserved variables: assessing the effectiveness of Catholic schools. J Polit Econ 113(1):151–184

Altonji J, Elder T, Taber C (2008) Using selection on observed variables to assess bias from unobservables when evaluating Swan–Ganz catheterization. Am Econ Rev 98(2):345–350

Austin P (2011) An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res 46(3):399–424

Böckerman P, Bryson A, Ilmakunnas P (2013) Does high involvement management lead to higher pay? J R Stat Soc Ser A Stat Soc 176(4):861–885

Bernal J (2005) Parental choice, social class and market forces: the consequences of privatization of public services in education. J Educ Policy 20(6):779–792

Bettinger E (2011) Educational vouchers in international contexts. In: Hanushek E, Machin S, Woessmann L (eds) Handbook of the economics of education, vol 4. Elsevier Science & Technology, North-Holland, pp 551–572

Binder M, Coad A (2013) Life satisfaction and self-employment: a matching approach. Small Bus Econ 40(4):1009–1033

Bradley S, Migali G, Taylor J (2013) Funding, school specialisation and test scores: an evaluation of the specialist schools policy using matching models. J Hum Cap 7(1):76–106

Bryk A, Raudenbusch S (1988) Toward a more appropriate conceptualization of research on school effects: a three-level hierarchical linear model. Am J Educ 97(1):65–108

Caliendo M, Künn S (2015) Getting back into the labor market: the effects of start-up subsidies for unemployed females. J Popul Econ 28(4):1005–1043

Caliendo M, Kopeinig S (2008) Some practical guidance for the implementation of propensity score matching. J Econ Surv 22(1):31–72

Cheah B (2009) Clustering standard errors for modeling multilevel data. Technical report, Columbia University, New York

Chowa G, Masa R, Wretman C, Ansong D (2013) The impact of household possessions on youth’s academic achievement in the Ghana Youthsave experiment: a propensity score analysis. Econ Educ Rev 33:69–81

Chudgar A, Quin E (2012) Relationship between private schooling and achievement: results from rural and urban India. Econ Educ Rev 31(4):376–390

Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Erlbaum Associates, Lawrence

Coleman J, Hoffer T, Kilgore S (1982) Secondary school achievement. Public, catholic and private schools compared. Basic Books, Inc. Publishers, New York

Crespo E, Santín D (2014) Does school ownership matter? An unbiased efficiency comparison for regions of Spain. J Prod Anal 41(1):153–172

Davies S (2013) Are there Catholic school effects in Ontario, Canada? Eur Sociol Rev 29(4):871–883

DiPrete T, Gangl M (2004) Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments. WZB discussion paper SP I 2004-101, Wissenschaftszentrum Berlin für Sozialforschung

Doncel L, Sainz J, Sanz I (2012) An estimation of the advantage of charter over public schools. Kyklos 65(4):442–463

Epple D, Romano R, Zimmer R (2016) Charter schools: a survey of research on their characteristics and effectiveness. In: Hanushek E, Machin S, Woessmann L (eds) Handbook of the economics of education, vol 5. Elsevier Science & Technology, North-Holland, pp 139–208

Escardibul JO, Villarroya A (2009) The inequalities in school choice in Spain in accordance to PISA data. J Educ Policy 24(6):673–695

Gangl M (2014) Matching estimators for treatment effects. In: Best H, Wolf C (eds) The SAGE handbook of regression analysis and causal inference. SAGE Publications Ltd, London, pp 251–276

Gelman A (2006) Multilevel (hierarchical) modeling: what it can and cannot do. Technometrics 48(3):432–435

Green C, Navarro-Paniagua M, Ximénez de Embún D, Mancebón M (2014) School choice and student wellbeing. Econ Educ Rev 38:139–150

Gronberg T, Jansen D (2001) Navigating newly chartered waters. An analysis of charter school performance. Texas Public Policy Foundation, Austin

Guo S, Fraser M (2010) Propensity score analysis. Statistical methods and applications. SAGE publications Ltd., London

Hanushek E, Woessmann L (2014) Institutional structures of the education system and student achievement: a review of cross-country economic research. In: Strietholt R, Bos W, Gustafsson JE, Rosen M (eds) Educational policy evaluation through international comparative assessments. Waxmann, Munster

Hanushek E, Kain J, Rivkin S, Branch F (2007) Charter school quality and parental decision making with school choice. J Public Econ 91(5–6):823–848

Herron M (1999) Postestimation uncertainty in limited dependent variable models. Polit Anal 8(1):83–98

Hirano K, Imbens G, Ridder G (2003) Efficient estimation of average treatment effects using the estimated propensity score. Econometrica 71(4):1161–1189

Ichino A, Mealli F, Nannicini T (2008) From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity? J Appl Econ 23(3):305–327

Imbens GW (2004) Nonparametric estimation of average treatment effects under exogeneity: a review. Rev Econ Stat 86(1):4–29

Kim Y (2011) Catholic schools or school quality? The effects of Catholic schools on labor market outcomes. Econ Educ Rev 30(3):546–558

Lee BK, Lessler J, Stuart EA (2010) Improving propensity score weighting using machine learning. Stat Med 29(3):337–346

Lee M, Lee S (2009) Sensitivity analysis of job-training effects on reemployment for Korean women. Empir Econ 36(1):81–107

Lefebvre P, Merrigan P, Verstraete M (2011) Public subsidies to private schools do make a difference for achievement in mathematics: longitudinal evidence from Canada. Econ Educ Rev 30(1):79–98

Lehrer S, Kordas G (2013) Matching using semiparametric propensity scores. Empir Econ 44(1):13–45

LODE (1985) Organic Law 8/1985, 3 July, Regulating education. Official Spanish State Bulletin 159

Mancebón M, Ximénez-de-Embún DP (2014) Equality of school choice: a study applied to the Spanish region of Aragón. Educ Econ 22(1):90–111

Mancebón M, Calero J, Choi A, Ximénez-de-Embún DP (2012) The efficiency of public and publicly-subsidized high schools in Spain. Evidence from PISA-2006. J Oper Res Soc 63(11):1516–1533

McCaffrey D, Ridgeway G, Morral A (2004) Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychol Methods 9(44):403–425

Moulton B (1990) An illustration of a pitfall in estimating the effects of aggregate variables on micro units. Rev Econ Stat 72(2):334–338

Murname R, Willett J (2011) Methods matter. Oxford University Press, New York

Peel M (2014) Addressing unobserved endogeneity bias in accounting studies: control and sensitivity methods by variable type. Account Bus Res 44(5):545–571

Rehm P (2005) Citizen support for the welfare state: determinants of preferences for income redistribution. WZB markets and political economy working paper SP II 2, Wissenschaftszentrum Berlin für Sozialforschung

Rosenbaum P (2002) Observational studies. Springer, New York

Rosenbaum P, Rubin D (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55

Rosenbaum P, Rubin D (1985) The bias due to incomplete matching. Biometrics 41(1):103–116

Rubin D, Thomas N (2000) Combining propensity score matching with additional adjustments for prognostic covariates. J Am Stat Assoc 95(450):573–585

Setoguchi S, Schneeweiss S, Brookhart MA, Glynn RJ, Cook EF (2008) Evaluating uses of data mining techniques in propensity score estimation: a simulation study. Pharmacoepidemiol Drug Saf 17(6):546–555

Smith H, Tood P (2005) Does matching overcome LaLonde’s critique of non-experimental estimators? J Econ 125(1–2):305–353

Somers M, McEwan P, Willms J (2004) How effective are private schools in Latin America? Comp Educ Rev 48(1):48–69

Stuart E (2010) Matching methods for causal inference: a review and a look forward. Stat Sci 25(1):1–21

Spanish Ministry of Education (2013) Spanish Education Statistics. Madrid. 2013. https://www.mecd.gob.es

Urquiola M (2016) Competition among schools. Traditional public and private schools. In: Hanushek E, Machin S, Woessmann L (eds) Handbook of the economics of education, vol 5. Elsevier Science & Technology, North-Holland, pp 209–237

Willms J (2006) Learning divides: ten policy questions about the performance and equity of schools and schooling systems. UIS working paper 5. UNESCO Institute for Statistics, Montreal

Yitzhaki S (1996) On using linear regressions in welfare economics. J Bus Econ Stat 14(4):478–486

Zimmer B R Gill, Booker K, Lavertu S, Witte J (2012) Examining charter student achievement effects across seven states. Econ Educ Rev 31(2):213–224