IDEAS home Printed from https://ideas.repec.org/a/hhs/jdaecn/0014.html
   My bibliography  Save this article

The Danish National Tests at a Glance

Author

Listed:
  • Beuchert, Louise V.

    (VIVE – Det Nationale Forsknings- og Analysecenter for Velfærd)

  • Nandrup, Anne B.

    (Aarhus University)

Abstract

This paper describes the format of the Danish national tests and documents a socioeconomic gradient in student’s national test scores. The national test program was implemented in 2010 and covers ten standardized tests in grades 2 through 8. We utilize the complete set of student test scores in 2010-2013 to document a substantial persistence in the children’s test scores throughout compulsory school and further show that the predictive validity of the national tests is high in terms of their ninth grade examination results. After establishing a relationship between students’ national test results and later education outcomes, the second part of the analysis illustrates evidence on student achievement obtained from the national test data. We document negative and stable test score gaps of considerable magnitude for children with poorer socioeconomic status across all grade levels.

Suggested Citation

  • Beuchert, Louise V. & Nandrup, Anne B., 2018. "The Danish National Tests at a Glance," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2018(1), pages 1-37.
    • Handle: RePEc:hhs:jdaecn:0014
    DOI: https://www.djoef-forlag.dk/publications/noet/files/2018/article/2018_1_2.pdf
    as

    Download full text from publisher

    File URL: https://www.xn--nt-lka.dk/files/2018/article/2018_1_2.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/https://www.djoef-forlag.dk/publications/noet/files/2018/article/2018_1_2.pdf?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Feng, Li & Sass, Tim R., 2013. "What makes special-education teachers special? Teacher training and achievement of students with disabilities," Economics of Education Review, Elsevier, vol. 36(C), pages 122-134.
    2. Carneiro, Pedro & Heckman, James J., 2003. "Human Capital Policy," IZA Discussion Papers 821, Institute of Labor Economics (IZA).
    3. Thomas S. Dee, 2007. "Teachers and the Gender Gaps in Student Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 42(3).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Houmark, Mikkel Aagaard, 2023. "First Among Equals? How Birth Order Shapes Child Development," MPRA Paper 119325, University Library of Munich, Germany.
    2. Montgomery, Christopher Jamil de & Sievertsen, Hans Henrik, 2019. "The Socio-Economic Gradient in Children’s Test-Scores – A Comparison Between the U.S. and Denmark," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2019(1), pages 1-25.
    3. Damm, Anna Piil & Mattana, Elena & Nielsen, Helena Skyt, 2022. "Effects of school displacement on academic achievement and wellbeing of ethnic minorities," Labour Economics, Elsevier, vol. 79(C).
    4. Lesner, Rune Vammen & Damm, Anna Piil & Bertelsen, Preben & Pedersen, Mads Uffe, 2022. "The Effect of School-Year Employment on Cognitive Skills, Risky Behavior, and Educational Achievement," Economics of Education Review, Elsevier, vol. 88(C).
    5. Per Nikolaj Bukh & Karina Skovvang Christensen & Morten Lund Poulsen, 2022. "Performance Funding: Exam Results, Stakes, and Washback in Danish Schools," SAGE Open, , vol. 12(1), pages 21582440221, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Louise Voldby Beuchert & Anne Brink Nandrup, 2014. "The Danish National Tests – A Practical Guide," Economics Working Papers 2014-25, Department of Economics and Business Economics, Aarhus University.
    2. Pedro S. Martins, 2017. "(How) Do Non-Cognitive Skills Programs Improve Adolescent School Achievement? Experimental Evidence," Working Papers 81, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    3. Moroni, Gloria & Nicoletti, Cheti & Tominey, Emma, 2019. "Child Socio-Emotional Skills: The Role of Parental Inputs," IZA Discussion Papers 12432, Institute of Labor Economics (IZA).
    4. Thomas Dee & Martin West, 2008. "The Non-Cognitive Returns to Class Size," NBER Working Papers 13994, National Bureau of Economic Research, Inc.
    5. Andersson, Christian, 2007. "Teacher density and student achievement in Swedish compulsory schools," Working Paper Series 2007:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Daniela Del Boca & Chiara Monfardini & Sarah Grace See, 2022. "Early Childcare Duration and Student' Later Outcomes in Europe," Working Papers 2022-021, Human Capital and Economic Opportunity Working Group.
    7. Radha Jagannathan & Michael J. Camasso & Bagavan Das & Jale Tosun & Sadagopan Iyengar, 2017. "Family, society and the individual: determinants of entrepreneurial attitudes among youth in Chennai, South India," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 7(1), pages 1-22, December.
    8. Bas Jacobs, 2013. "Optimal redistributive tax and education policies in general equilibrium," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(2), pages 312-337, April.
    9. Dinand Webbink & Sunčica Vujić & Pierre Koning & Nicholas G. Martin, 2012. "The Effect Of Childhood Conduct Disorder On Human Capital," Health Economics, John Wiley & Sons, Ltd., vol. 21(8), pages 928-945, August.
    10. Paolo Di Caro & Roberta Arbolino & Ugo Marani, 2018. "A note on the effects of human capital policies in Italy during the Great Recession," Economics Bulletin, AccessEcon, vol. 38(3), pages 1302-1312.
    11. Thomas Buser & Muriel Niederle & Hessel Oosterbeek, 2014. "Gender, Competitiveness, and Career Choices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1409-1447.
    12. Carneiro, Pedro & Heckman, James J & Masterov, Dimitriy V, 2005. "Labor Market Discrimination and Racial Differences in Premarket Factors," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 1-39, April.
    13. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    14. Nicola Pavoni & G. L. Violante, 2007. "Optimal Welfare-to-Work Programs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(1), pages 283-318.
    15. Jaegeum Lim & Jonathan Meer, 2020. "Persistent Effects of Teacher–Student Gender Matches," Journal of Human Resources, University of Wisconsin Press, vol. 55(3), pages 809-835.
    16. Azuara, Oliver, 2011. "Effect of universal health coverage on marriage, cohabitation and labor force participation," MPRA Paper 35074, University Library of Munich, Germany.
    17. Card, David & Rothstein, Jesse, 2007. "Racial segregation and the black-white test score gap," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2158-2184, December.
    18. Cain Polidano & Justin van de Ven & Sarah Voitchovsky, 2017. "The Power of Self-Interest: Effects of Education and Training Entitlements in Later-Life," Melbourne Institute Working Paper Series wp2017n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    19. Daniela Boca & Daniela Piazzalunga & Chiara Pronzato, 2018. "The role of grandparenting in early childcare and child outcomes," Review of Economics of the Household, Springer, vol. 16(2), pages 477-512, June.
    20. Dan Anderberg & Alessandro Balestrino, 2008. "The Political Economy of Post-Compulsory Education Policy with Endogenous Credit Constraints," CESifo Working Paper Series 2304, CESifo.

    More about this item

    Keywords

    Test scores; Student achievement; Test score gap; Predictive validi ty; Effect size; Education evaluation;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:jdaecn:0014. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lasse Wolsgård (email available below). General contact details of provider: https://edirc.repec.org/data/nffffea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.