La evaluación en el contexto educativo

Referencias bibliográficas

• Anghel, B., Cabrales, A. y Carro, J. M. (2016). Evaluating a bilingual education program in Spain: The impact beyond foreign language learning. Economic Inquiry, 54(2), pp. 1202-1223.
• Angrist, J., Bettinger, E. y Kremer, M. (2006). Long-term educational consequences of secondary school vouchers: Evidence from administrative records in Colombia. American Economic Review, 96(3), pp. 847-862.
• Angrist, J. D. y Lavy, V. (1999). Using Maimonides’ rule to estimate the effect of class size on scholastic achievement. The Quarterly Journal of Economics, 114(2), pp. 533-575.
• Angrist, J. D., Lavy, V., Leder-Luis, J. y Shany, A. (2019). Maimonides’ rule redux. American Economic Review: Insights, 1(3), pp. 309-324.
• Angrist, J. D. y Keueger, A. B. (1991). Does compulsory school attendance affect schooling and earnings? The Quarterly Journal of Economics, 106(4), pp. 979-1014.
• Angrist, J. D. y Pischke, J. S. (2014). Mastering metrics: The path from cause to effect. Princeton University Press.
• Arenas, A. y Gortazar, L. (2022). Learning loss One Year After School Closures: Evidence from the Basque Country. Working Paper #1, Esade Center for Economic Policy.
• Artés, J. y Rodríguez-Sánchez, B. (2022). Métodos de evaluación de políticas públicas. Papeles de Economía Española, 172, pp. 18-29.
• Bietenbeck, J. (2014). Teaching practices and cognitive skills. Labour Economics, 30, pp. 143-153.
• Bover, O., Hospido, L. y Villanueva, E. (2018). The impact of high school financial education on financial knowledge and choices: Evidence from a randomized trial in Spain. IZA Discussion Papers, n.º 11265. Institute of Labor Economics (IZA), Bonn.
• Briole, S., Gurgand, M., Maurin, É., McNally, S., Ruiz-Valenzuela, J. y Santín, D. (2022). The Making of Civic Virtues: a schoolbased experiment in three countries. IZA Discussion Papers, n.º 15141. Institute of Labor Economics (IZA), Bonn.
• Cabras, S. y Tena, J. D. (2016). A Bayesian non-parametric modeling to estimate student response to ICT investment. Journal of Applied Statistics, 43(14), pp. 2627-2642.
• Cattaneo, M. D., Idrobo, N. y Titiunik, R. (2018). A Practical Introduction to Regression Discontinuity Designs, Vol. I y II. Cambridge: Cambridge University Press.
• Chetty, R., Friedman, J. N., Hilger, N., Saez, E., Schanzenbach, D. W. y Yagan, D. (2011). How does your kindergarten classroom affect your earnings? Evidence from Project STAR. The Quarterly Journal of Economics, 126(4), pp. 1593-1660.
• Choi, Á., Gil, M., Mediavilla, M. y Valbuena, J. (2018). The evolution of educational inequalities in Spain: dynamic evidence from repeated cross-sections. Social Indicators Research, 138(3), pp. 853-872.
• Coleman, J., Campbell, E., Hobson, C., Mc Partland, I., Modd, A., Wenfeld, F. y York, R. (1966). Equality of educational opportunity. Department of Health, Education and Welfare, Office of Education, Government Printing Office, Washington.
• Connelly, R., Playford, C. J., Gayle, V. y Dibben, C. (2016). The role of administrative data in the big data revolution in social science research. Social Science Research, 59, pp. 1-12.
• Cordero, J. M., Crespo-Cebada, E. y Pedraja Chaparro, F. (2013). Rendimiento educativo y determinantes según PISA: Una revisión de la literatura en España. Revista de Educación, 362, pp. 273-297.
• Cordero, J. M., Cristóbal, V. y Santín, D. (2018). Causal inference on education policies: A survey of empirical studies using PISA, TIMSS and PIRLS. Journal of Economic Surveys, 32(3), pp. 878-915.
• Cordero, J. M. y Gil-Izquierdo, M. (2018). The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link. Journal of Policy Modeling, 40(6), pp. 1313-1331.
• Creemers, B. y Kyriakides, L. (2007). The dynamics of educational effectiveness: A contribution to policy, practice and theory in contemporary schools. Routledge.
• Ding, Y., Lu, F. y Ye, X. (2020). Intergovernmental transfer under heterogeneous accountabilities: the effects of the 2006 Chinese education finance reform. Economics of Education Review, 77, 101985.
• Duflo, E. y Kremer, M. (2005). Use of Randomization in the Evaluation of Development Effectiveness. En O. Feinstein, G. K. Ingram y G. K. Pitman (eds.), Evaluating development effectiveness, pp. 205-232. New Brunswick, New Jersey and London: Transaction Publishers.
• Eberts, R., Hollenbeck, K. y Stone, J. (2002). Teacher performance incentives and student outcomes. Journal of Human Resources, 37(4), pp. 913-927.
• Felfe, C., Nollenberger, N. y Rodríguez-Planas, N. (2015). Can’t buy mommy’s love? universal childcare and children’s long-term cognitive development. Journal of Population Economics, 28(2), pp. 393-422.
• Finn, J. D. y Achilles, C. M. (1999). Tennessee’s class size study: Findings, implications, misconceptions. Educational Evaluation and Policy Analysis, 21(2), pp. 97-109.
• Ganimian, A. J. y Murnane, R. J. (2016). Improving education in developing countries: Lessons from rigorous impact evaluations. Review of Educational Research, 86(3), pp. 719-755.
• García-Pérez, J. I., Hidalgo-Hidalgo, M. y Robles-Zurita, J. A. (2014). Does grade retention affect students’ achievement? Some evidence from Spain. Applied Economics, 46, pp. 1373-1392.
• Gertler, P. J., Martínez, S., Premand, P., Rawlings, L. B. y Vermeersch, C. M. (2016). Impact evaluation in practice. The World Bank.
• Glewwe, P., Kremer, M. y Moulin, S. (2009). Many children left behind? Textbooks and test scores in Kenya. American Economic Journal: Applied economics, 1(1), pp. 112-135.
• Greene, J. P. y Winters, M. A. (2007). Revisiting grade retention: An evaluation of Florida’s test-based promotion policy. Education Finance and Policy, 2(4), pp. 319-340.
• Gustafsson, J. E. (2013). Causal inference in educational effectiveness research: a comparison of three methods to investigate effects of homework on student achievement. School Effectiveness and School Improvement, 24(3), pp. 275-295.
• Hanushek, E. A. (1986). The economics of schooling: Production and efficiency in public schools. Journal of Economic Literature, 24(3), pp. 1141-1177.
• Hanushek, E. A. y Woessmann, L. (2011). The economics of international differences in educational achievement. En E. Hanushek, S. Machin y L. Woessmann (eds.), Handbook of the Economics of Education, 3, pp. 89-200. Amsterdam: North Holland.
• Heckman, J. J., Moon, S. H., Pinto, R., Savelyev, P. A. y Yavitz, A. (2010a). The rate of return to the High Scope Perry Preschool Program. Journal of Public Economics, 94(1-2), pp. 114-128.
• Heckman, J., Moon, S. H., Pinto, R., Savelyev, P. y Yavitz, A. (2010b). Analyzing social experiments as implemented: A reexamination of the evidence from the HighScope Perry Preschool Program. Quantitative Economics, 1(1), pp. 1-46.
• Hidalgo, A. y Lopez-Mayan, C. (2018). Teaching styles and achievement: Student and teacher perspectives. Economics of Education Review, 67, pp. 184-206.
• Imberman, S. A. y Lovenheim, M. F. (2015). Incentive strength and teacher productivity: Evidence from a group-based teacher incentive pay system. Review of Economics and Statistics, 97(2), pp. 364-386.
• Jacob, B. A. y Lefgren, L. (2009). The effect of grade retention on high school completion. American Economic Journal: Applied Economics, 1(3), pp. 33-58.
• Jerrim, J., López-Agudo, L. A., Marcenaro-Gutiérrez, O. D. y Shure, N. (2017). What happens when econometrics and psychometrics collide? An example using the PISA data. Economics of Education Review, 61, pp. 51-58.
• Jerrim, J., López-Agudo, L. A. y Marcenaro-Gutiérrez, O. D. (2019). The relationship between homework and the academic progress of children in Spain during compulsory elementary education: A twin fixed-effects approach. British Educational Research Journal, 45(5), pp. 1021-1049.
• Jerrim, J., López-Agudo, L. A. y Marcenaro-Gutiérrez, O. D. (2020). Does it matter what children read? New evidence using longitudinal census data from Spain. Oxford Review of Education, 46(5), pp. 515-533.
• Jürges, H., Schneider, K. y Büchel, F. (2005). The effect of central exit examinations on student achievement: Quasiexperimental evidence from TIMSS Germany. Journal of the European Economic Association, 3(5), pp. 1134-1155.
• Khandker, S. R., Koolwal, G. B. y Samad, H. A. (2010). Handbook on impact evaluation: quantitative methods and practices. Washington DC: World Bank.
• Kremer, M. (2003). Randomized evaluations of educational programs in developing countries: Some lessons. American Economic Review, 93(2), pp. 102-106.
• Laajaj, R., Moya, A. y Sánchez, F. (2022). Equality of opportunity and human capital accumulation: Motivational effect of a nationwide scholarship in Colombia. Journal of Development Economics, 154, 102754.
• Lai, F., Sadoulet, E. y De Janvry, A. (2011). The contributions of school quality and teacher qualifications to student performance evidence from a natural experiment in Beijing middle schools. Journal of Human Resources, 46(1), pp. 123-153.
• Lee, J. y Fish, R. M. (2010). International and interstate gaps in value-added math achievement: Multilevel instrumental variable analysis of age effect and grade effect. American Journal of Education, 117(1), pp. 109-137.
• López-Agudo, L. A. y Marcernaro-Gutiérrez, O. D. (2019a). The Effect of Weekly Instruction Time on Academic Achievement: The Spanish Case. Hacienda Pública Española, 230, pp. 63-93.
• López-Agudo, L. A. y Marcenaro-Gutiérrez, O. D. (2019b). Are Spanish children taking advantage of their weekly classroom time? Child Indicators Research, 12(1), pp. 187-211.
• López-Agudo, L. A. y Marcenaro-Gutiérrez, O. D. (2021). La falta de influencia del tamaño de la clase sobre el rendimiento académico de los estudiantes: evidencia empírica para Andalucía. Revista de Educación, 395, pp. 321-361.
• López-Rupérez, F., García-García, I. y Expósito, E. (2021). La repetición de curso y la graduación en Educación Secundaria Obligatoria en España: análisis empíricos y recomendaciones políticas. Revista de Educación, 394, pp. 325-353.
• López-Torres, L., Prior, D. y Santín, D. (2019). Assessing the effect of educational programs on public schools’ performance. Applied Economics, 51(48), pp. 5205-5226.
• Lucas, A. M. y Mbiti, I. M. (2012). Access, sorting, and achievement: The short-run effects of free primary education in Kenya. American Economic Journal: Applied Economics, 4(4), pp. 226-253.
• Machin, S. y McNally, S. (2008). The literacy hour. Journal of Public Economics, 92(5-6), pp. 1441-1462.
• Machin, S., McNally, S. y Silva, O. (2007). New technology in schools: Is there a payoff? The Economic Journal, 117(522), pp. 1145-1167.
• Mancebón, M. J., Pérez-Ximénez de Embún, D. y Villar-Aldonza, A. (2018). Evaluación del efecto de la escolarización temprana sobre las habilidades cognitivas y no cognitivas de los niños de cinco/seis años. Hacienda Pública Española, 226(3), pp. 123-153.
• Mediavilla, M., Mancebón, M. J., Gómez-Sancho, J. M. y Jiménez, L. P. (2019). Bilingual education and school choice: A case study of public secondary schools in the Spanish region of Madrid. IEB Working Paper, n.º 2019/01 Institut d'Economia de Barcelona.
• Mislevy, R. J., Beaton, A. E., Kaplan, B. y Sheehan, K. M. (1992). Estimating population characteristics from sparse matrix samples of item responses. Journal of Educational Measurement, 29(2), pp. 133-161.
• Murnane, R. J. y Willett, J. B. (2011). Methods matter. Oxford University Press. New York.
• Pedraja, F., Santín, D. y Simancas, R. (2016). The impact of immigrant concentration in schools on grade retention in Spain: a difference-in-differences approach. Applied Economics, 48(21), pp. 1978-1990.
• Pedraja, F., Santín, D. y Simancas, R. (2022). Show me the money! The impact of a conditional cash transfer on educational achievement. Empirical Economics, en prensa. doi: https:// doi.org/10.1007/s00181-022-02211-x
• Pfeffermann, D. y Landsman, V. (2011) Are private schools better than public schools? Appraisal for Ireland by methods for observational studies. The Annals of Applied Statistics, 5(3), pp. 1726-1751.
• Pokropek, A. (2016). Introduction to instrumental variables and their application to large-scale assessment data. Large-scale Assessments in Education, 4(1), pp. 1-20.
• Salinas, J. y Santín, D. (2012). Selección escolar y efectos de la inmigración sobre los resultados académicos españoles en PISA 2006. Revista de Educación, 358, pp. 382-405.
• Santín, D. y Sicilia, G. (2015). El impacto de la educación infantil en los resultados de primaria: evidencia para España a partir de un experimento natural. En: D. Santín Pau Balart, A. Cabrales, J. Calero, Á. de la Fuente, J. Oriol Escardíbul, F. Felgueroso, G. Sicilia (eds.), Reflexiones sobre el Sistema Educativo Español, pp. 45 -74. Madrid: Editorial Centro de Estudios Ramón Areces S. A.
• Schlotter, M., Schwerdt, G. y Woessmann, L. (2011). Econometric methods for causal evaluation of education policies and practices: a non-technical guide. Education Economics, 19(2), pp. 109-137.
• Schwerdt, G. y Wuppermann, A. (2011). Is traditional teaching really all that bad? A within-student between-subject approach. Economics of Education Review, 30, pp. 365- 379.
• Todd, P. E. y Wolpin, K. I. (2003). On the specification and estimation of the production function for cognitive achievement. The Economic Journal, 113(485), pp. 3-33.
• Thistlewaite, D. y Campbell, D. (1960). Regression-discontinuity analysis: an alternative to the ex-post facto experiment. Journal of Educational Psychology, 51, pp. 309-317.
• Van der Klaauw, W. (2008). Regression-discontinuity analysis: a survey of recent developments in economics. Labour, 22(2), pp. 219-245.
• Vandenberghe, V. y Robin, S. (2004). Evaluating the effectiveness of private education across countries: a comparison of methods. Labour Economics, 11(4), pp. 487-506.
• Villaplana, C. (2014). Evaluación del programa Escuela 2.0 para la asignatura de Matemáticas a partir de PISA 2012. Investigaciones de Economía de la Educación, 9, pp. 631- 652.
• Webbink, D. (2005). Causal effects in education. Journal of Economic Surveys, 19(4), pp. 535-560.
• Word, E., Johnston, J., Bain, H. P., Fulton, B., Zaharies, J. B., Lintz, M. N., Achilles, C. M., Folger, J. y Breda, C. (1990). Student/ Teacher Achievement Ratio (STAR), Tennessee’s K-3 Class Size Study: Final Summary Report, 1985-1990. Tennessee State Department of Education, Nashville.
• Wu, M. (2005). The role of plausible values in large-scale surveys. Studies in Educational Evaluation, 31(2), pp. 114- 128.