Does taking additional Maths classes in high school affect academic outcomes?
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DOI: 10.1016/j.seps.2023.101674
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- Arpino, Bruno & Mealli, Fabrizia, 2011.
"The specification of the propensity score in multilevel observational studies,"
Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1770-1780, April.
- Bruno Arpino & Fabrizia Mealli, 2008. "The specification of the propensity score in multilevel observational studies," Working Papers 006, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
- Arpino, Bruno & Mealli, Fabrizia, 2008. "The specification of the propensity score in multilevel observational studies," MPRA Paper 17407, University Library of Munich, Germany.
- Daniele Checchi & Luca Flabbi, 2013.
"Intergenerational Mobility and Schooling Decisions in Germany and Italy: The Impact of Secondary School Tracks,"
Rivista di Politica Economica, SIPI Spa, issue 3, pages 7-57, July-Sept.
- Checchi, Daniele & Flabbi, Luca, 2007. "Intergenerational Mobility and Schooling Decisions in Germany and Italy: The Impact of Secondary School Tracks," IZA Discussion Papers 2876, Institute of Labor Economics (IZA).
- Luca Flabbi & Daniele Checchi, 2007. "Intergenerational Mobility and Schooling Decisions in Germany and Italy: the Impact of Secondary School Tracks," Working Papers gueconwpa~07-07-08, Georgetown University, Department of Economics.
- Lorenzo Cappellari, 2004.
"High school types, academic performance and early labour market outcomes,"
CHILD Working Papers
wp03_04, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
- Cappellari, Lorenzo, 2004. "High School Types, Academic Performance and Early Labour Market Outcomes," IZA Discussion Papers 1048, Institute of Labor Economics (IZA).
- Contini, Dalit & Tommaso, Maria Laura Di & Mendolia, Silvia, 2017.
"The gender gap in mathematics achievement: Evidence from Italian data,"
Economics of Education Review, Elsevier, vol. 58(C), pages 32-42.
- Di Tommaso, Maria Laura & Mendolia, Silvia & Contini, Dalit, 2016. "The Gender Gap in Mathematics Achievement: Evidence from Italian Data," IZA Discussion Papers 10053, Institute of Labor Economics (IZA).
- Dalit Contini & Maria Laura Di Tommaso & Silvia Mendolia, 2016. "The gender gap in mathematics achievement: Evidence from Italian data," Carlo Alberto Notebooks 492, Collegio Carlo Alberto.
- Contini, Dalit & Di Tommaso, Maria Laura & Mendolia, Silvia, 2016. "The gender gap in mathematics achievements: evidence from Italian data," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201601, University of Turin.
- Gabriele Ballarino & Nazareno Panichella, 2016. "Social stratification, secondary school tracking and university enrolment in Italy," Contemporary Social Science, Taylor & Francis Journals, vol. 11(2-3), pages 169-182, July.
- Juanna Schrøter Joensen & Helena Skyt Nielsen, 2009.
"Is there a Causal Effect of High School Math on Labor Market Outcomes?,"
Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
- Joensen, Juanna Schrøter & Nielsen, Helena Skyt, 2006. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," IZA Discussion Papers 2357, Institute of Labor Economics (IZA).
- Juanna Schrøter Joensen & Helena Skyt Nielsen, 2006. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," Economics Working Papers 2006-11, Department of Economics and Business Economics, Aarhus University.
- Bratti, Massimiliano & Checchi, Daniele & Filippin, Antonio, 2007. "Territorial Differences in Italian Students’ Mathematical Competencies: Evidence from PISA 2003," IZA Discussion Papers 2603, Institute of Labor Economics (IZA).
- Columbu, Silvia & Porcu, Mariano & Sulis, Isabella, 2021. "University choice and the attractiveness of the study area: Insights on the differences amongst degree programmes in Italy based on generalised mixed-effect models," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
- Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
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Keywords
Educational data; Multi-level propensity score; Caliper matching; Multi-state Markov model;All these keywords.
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