IDEAS home Printed from https://ideas.repec.org/p/diw/diwsop/diw_sp810.html
   My bibliography  Save this paper

How a Universal Music Education Program Affects Time Use, Behavior, and School Attitude

Author

Listed:
  • Adrian Hille

Abstract

It is still widely debated how non-cognitive skills can be affected by policy intervention. For example, universal music education programs are becoming increasingly popular among policy makers in Germany and other developed countries. These are intended to give children from poor families the opportunity to learn a musical instrument. Moreover, policymakers present these programs as innovative policies that are important for the personality development of young children. However, the effects of universal music education on such outcomes are not yet sufficiently studied. This paper analyses the Jedem Kind ein Instrument (an instrument for every child) program in the German state of North Rhine-Westphalia. To do so, data from the German household panel studies SOEP and FiD are combined with regional data on primary and music schools. Using a difference-in-differences estimator, I show that the program successfully increases music participation among disadvantaged children. It does so more effectively than the alternative policy of reducing fees at public music schools. I further find that participation reduces conduct problems and improves student teacher relationships, especially among boys.

Suggested Citation

  • Adrian Hille, 2015. "How a Universal Music Education Program Affects Time Use, Behavior, and School Attitude," SOEPpapers on Multidisciplinary Panel Data Research 810, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp810
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.522485.de/diw_sp0810.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oliver Falck & Constantin Mang & Ludger Woessmann, 2018. "Virtually No Effect? Different Uses of Classroom Computers and their Effect on Student Achievement," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(1), pages 1-38, February.
    2. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    3. Makles Anna & Schneider Kerstin, 2015. "Much Ado about Nothing? The Role of Primary School Catchment Areas For Ethnic School Segregation: Evidence From a Policy Reform," German Economic Review, De Gruyter, vol. 16(2), pages 203-225, May.
    4. Bauernschuster, Stefan & Falck, Oliver & Woessmann, Ludger, 2014. "Surfing alone? The internet and social capital: Evidence from an unforeseeable technological mistake," Journal of Public Economics, Elsevier, vol. 117(C), pages 73-89.
    5. James Heckman & Rodrigo Pinto & Peter Savelyev, 2013. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," American Economic Review, American Economic Association, vol. 103(6), pages 2052-2086, October.
    6. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    7. Janet Currie, 2001. "Early Childhood Education Programs," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 213-238, Spring.
    8. Charlotte Cabane & Adrian Hille & Michael Lechner, 2015. "Mozart or Pelé? The Effects of Teenagers' Participation in Music and Sports," SOEPpapers on Multidisciplinary Panel Data Research 749, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Hille, Adrian & Schupp, Jürgen, 2015. "How Learning a Musical Instrument Affects the Development of Skills," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 44, pages 56-82.
    10. Marianne Bertrand & Jessica Pan, 2013. "The Trouble with Boys: Social Influences and the Gender Gap in Disruptive Behavior," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 32-64, January.
    11. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    12. Guido W. Imbens, 2015. "Matching Methods in Practice: Three Examples," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 373-419.
    13. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    14. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    15. Cabane Charlotte & Lechner Michael, 2015. "Physical Activity of Adults: A Survey of Correlates, Determinants, and Effects," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(4-5), pages 376-402, August.
    16. Heineck, Guido & Anger, Silke, 2010. "The returns to cognitive abilities and personality traits in Germany," Labour Economics, Elsevier, vol. 17(3), pages 535-546, June.
    17. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    18. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    19. Almlund, Mathilde & Duckworth, Angela Lee & Heckman, James & Kautz, Tim, 2011. "Personality Psychology and Economics," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 1-181, Elsevier.
    20. Hainmueller, Jens & Xu, Yiqing, 2013. "ebalance: A Stata Package for Entropy Balancing," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i07).
    21. Dahmann, Sarah & Anger, Silke, 2014. "The impact of education on personality : evidence from a German high school reform," IAB-Discussion Paper 201429, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    22. Lechner, Michael & Hille, Adrian & Cabane, Charlotte, 2015. "Mozart or Pelé? The effects of teenagers? participation in music and sports," CEPR Discussion Papers 10556, C.E.P.R. Discussion Papers.
    23. Pedro Carneiro & Claire Crawford & Alissa Goodman, 2007. "The Impact of Early Cognitive and Non-Cognitive Skills on Later Outcomes," CEE Discussion Papers 0092, Centre for the Economics of Education, LSE.
    24. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
    25. Carmit Segal, 2013. "Misbehavior, Education, And Labor Market Outcomes," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 743-779, August.
    26. Heckman, James J., 2011. "Integrating Personality Psychology into Economics," IZA Discussion Papers 5950, Institute of Labor Economics (IZA).
    27. Carmit Segal, 2008. "Classroom Behavior," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    28. Andrea Riedel & Kerstin Schneider & Claudia Schuchart & Horst Weishaupt, 2009. "School Choice in German Primary Schools: How binding are school districts?," Schumpeter Discussion Papers sdp09011, Universitätsbibliothek Wuppertal, University Library.
    29. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    30. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    31. Adrian Hille & Annegret Arnold & Jürgen Schupp, 2014. "Leisure Behavior of Young People: Education-Oriented Activities Becoming Increasingly Prevalent," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 4(1), pages 26-36.
    32. Castillo, Marco & Ferraro, Paul J. & Jordan, Jeffrey L. & Petrie, Ragan, 2011. "The today and tomorrow of kids: Time preferences and educational outcomes of children," Journal of Public Economics, Elsevier, vol. 95(11), pages 1377-1385.
    33. Darby E. Southgate & Vincent J. Roscigno, 2009. "The Impact of Music on Childhood and Adolescent Achievement," Social Science Quarterly, Southwestern Social Science Association, vol. 90(1), pages 4-21, March.
    Full references (including those not matched with items on IDEAS)

    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. Hille, Adrian & Schupp, Jürgen, 2015. "How Learning a Musical Instrument Affects the Development of Skills," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 44, pages 56-82.
    2. Cabane, Charlotte & Hille, Adrian & Lechner, Michael, 2016. "Mozart or Pelé? The effects of adolescents' participation in music and sports," Labour Economics, Elsevier, vol. 41(C), pages 90-103.
    3. Peter, Frauke, 2016. "The effect of involuntary maternal job loss on children's behaviour and non-cognitive skills," Labour Economics, Elsevier, vol. 42(C), pages 43-63.
    4. Breitkopf, Laura & Chowdhury, Shyamal K. & Priyam, Shambhavi & Schildberg-Hörisch, Hannah & Sutter, Matthias, 2020. "Do economic preferences of children predict behavior?," DICE Discussion Papers 342, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    5. Gensowski, Miriam, 2018. "Personality, IQ, and lifetime earnings," Labour Economics, Elsevier, vol. 51(C), pages 170-183.
    6. Preuss, Malte & Hennecke, Juliane, 2017. "Biased by success and failure: How unemployment shapes stated locus of control," Discussion Papers 2017/29, Free University Berlin, School of Business & Economics.
    7. Cabane, Charlotte & Hille, Adrian & Lechner, Michael, 2015. "Mozart or Pelé? The effects of teenagers’ participation in music and sports," Economics Working Paper Series 1509, University of St. Gallen, School of Economics and Political Science.
    8. Sneha Elango & Jorge Luis García & James J. Heckman & Andrés Hojman, 2015. "Early Childhood Education," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 235-297, National Bureau of Economic Research, Inc.
    9. Silke Anger & Daniel D. Schnitzlein, 2017. "Cognitive skills, non-cognitive skills, and family background: evidence from sibling correlations," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(2), pages 591-620, April.
    10. Lechner, Michael & Hille, Adrian & Cabane, Charlotte, 2015. "Mozart or Pelé? The effects of teenagers? participation in music and sports," CEPR Discussion Papers 10556, C.E.P.R. Discussion Papers.
    11. Armin Falk & Fabian Kosse & Pia Pinger & Hannah Schildberg-Hörisch & Thomas Deckers, 2021. "Socioeconomic Status and Inequalities in Children’s IQ and Economic Preferences," Journal of Political Economy, University of Chicago Press, vol. 129(9), pages 2504-2545.
    12. Marco Castillo & John A. List & Ragan Petrie & Anya Samek, 2024. "Detecting Drivers of Behavior at an Early Age: Evidence from a Longitudinal Field Experiment," Journal of Political Economy, University of Chicago Press, vol. 132(12), pages 3942-3977.
    13. Daniel Kuehnle & Michael Oberfichtner, 2020. "Does Starting Universal Childcare Earlier Influence Children’s Skill Development?," Demography, Springer;Population Association of America (PAA), vol. 57(1), pages 61-98, February.
    14. Anger, Silke & Camehl, Georg & Peter, Frauke, 2017. "Involuntary job loss and changes in personality traits," Journal of Economic Psychology, Elsevier, vol. 60(C), pages 71-91.
    15. Peter Frauke H. & Spiess C. Katharina, 2016. "Family Instability and Locus of Control in Adolescence," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(3), pages 1439-1471, September.
    16. Heckman, James J. & Raut, Lakshmi K., 2016. "Intergenerational long-term effects of preschool-structural estimates from a discrete dynamic programming model," Journal of Econometrics, Elsevier, vol. 191(1), pages 164-175.
    17. Hendrik Thiel & Stephan L. Thomsen & Bettina Büttner, 2014. "Variation of learning intensity in late adolescence and the effect on personality traits," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(4), pages 861-892, October.
    18. Heckman, James J. & Jagelka, Tomáš & Kautz, Tim, 2019. "Some Contributions of Economics to the Study of Personality," IZA Discussion Papers 12753, Institute of Labor Economics (IZA).
    19. Krishnakumar, Jaya & Nogales, Ricardo, 2020. "Education, skills and a good job: A multidimensional econometric analysis," World Development, Elsevier, vol. 128(C).
    20. Esteban García-Miralles & Miriam Gensowski, 2020. "Are Children's Socio-Emotional Skills Shaped by Parental Health Shocks?," CEBI working paper series 20-21, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).

    More about this item

    Keywords

    Music; non-cognitive skills; inequality; SOEP; policy evaluation; non-formal education;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • Z18 - Other Special Topics - - Cultural Economics - - - Public Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:diw:diwsop:diw_sp810. 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: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/sodiwde.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.