IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/12031.html
   My bibliography  Save this paper

Evaluation of the Reggio Approach to Early Education

Author

Listed:
  • Del Boca, Daniela
  • Biroli, Pietro
  • Heckman, James
  • Heckman, Lynne Pettler
  • Kuperman, Sylvi
  • Moktan, Sidharth
  • Pronzato, Chiara
  • Koh, Yu Kyung
  • Ziff, Anna

Abstract

We evaluate the Reggio Approach using non-experimental data on individuals from the cities of Reggio Emilia, Parma and Padova belonging to one of five age cohorts: ages 50, 40, 30, 18, and 6 as of 2012. The treated were exposed to municipally offered infant-toddler (ages 0-3) and preschool (ages 3-6) programs. The control group either did not receive formal childcare or were exposed to programs offered by the state or religious systems. We exploit the city-cohort structure of the data to estimate treatment effects using three strategies: difference-in-differences,matching, and matched-difference-in-differences. Most positive and significant effects are generated from comparisons of the treated with individuals who did not receive formal childcare. Relative to not receiving formal care, the Reggio Approach significantly boosts outcomes related to employment, socio-emotional skills, high school graduation, election participation, and obesity. Comparisons with individuals exposed to alternative forms of childcare do not yield strong patterns of positive and significant effects. This suggests that differences between the Reggio Approach and other alternatives are not sufficiently large to result in significant differences in outcomes. This interpretation is supported by our survey, which documents increasing similarities in the administrative and pedagogical practices of childcare systems in the three cities over time.

Suggested Citation

  • Del Boca, Daniela & Biroli, Pietro & Heckman, James & Heckman, Lynne Pettler & Kuperman, Sylvi & Moktan, Sidharth & Pronzato, Chiara & Koh, Yu Kyung & Ziff, Anna, 2017. "Evaluation of the Reggio Approach to Early Education," CEPR Discussion Papers 12031, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:12031
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP12031
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. Daniela Del Boca & Chiara Pronzato & Giuseppe Sorrenti, 2016. "When Rationing Plays a Role: Selection Criteria in the Italian Early Childcare System," CESifo Economic Studies, CESifo, vol. 62(4), pages 752-775.
    3. Patrick Kline & Christopher R. Walters, 2016. "Evaluating Public Programs with Close Substitutes: The Case of HeadStart," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1795-1848.
    4. Joseph P. Romano & Michael Wolf, 2005. "Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 94-108, March.
    5. James Heckman & Neil Hohmann & Jeffrey Smith & Michael Khoo, 2000. "Substitution and Dropout Bias in Social Experiments: A Study of an Influential Social Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 651-694.
    6. Romano, Joseph P. & Wolf, Michael, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 38-40.
    7. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    8. Del Boca, Daniela & Pronzato, Chiara & Sorrenti, Giuseppe, 2016. "When rationing plays a Role," CEPR Discussion Papers 11574, C.E.P.R. Discussion Papers.
    9. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    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. Raquel Bernal & Michele Giannola & Milagros Nores, 2022. "The Effect of Center-Based Early Education on Disadvantaged Children's Developmental Trajectories: Experimental Evidence from Colombia," Working Papers 2022-027, Human Capital and Economic Opportunity Working Group.
    2. Daniela Del Boca & Enrica Maria Martino & Chiara Pronzato, 2022. "Non cognitive skills and childcare attendance," Review of Economics of the Household, Springer, vol. 20(4), pages 1059-1085, December.
    3. Daniela Del Boca & Enrica Maria Martino & Elena Claudia Meroni & Daniela Piazzalunga, 2019. "Early Education and Gender Differences," CHILD Working Papers Series 70 JEL Classification: J1, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    4. Daniela Del Boca & Enrica Maria Martino & Chiara Pronzato, 2017. "Early Childcare and Child Non-Cognitive Outcomes," CHILD Working Papers Series 58 JEL Classification: J1, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    5. Jens Dietrichson & Ida Lykke Kristiansen & Bjørn A. Viinholt, 2020. "Universal Preschool Programs And Long‐Term Child Outcomes: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1007-1043, December.
    6. Elisa Failache & Noemí Katzkowicz, 2019. "Desarrollo infantil en Uruguay: una aproximación a sus determinantes (Childhood development: An approach to its determinants)," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 83(2), pages 55-104, September.
    7. Maurizio Pugno, 2021. "The economics of eudaimonia," Chapters, in: Luigino Bruni & Alessandra Smerilli & Dalila De Rosa (ed.), A Modern Guide to the Economics of Happiness, chapter 4, pages 46-66, Edward Elgar Publishing.
    8. Nores, Milagros & Bernal, Raquel & Barnett, W. Steven, 2019. "Center-based care for infants and toddlers: The aeioTU randomized trial," Economics of Education Review, Elsevier, vol. 72(C), pages 30-43.

    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. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    2. Jorge Luis García & James J. Heckman & Duncan Ermini Leaf & María José Prados, 2020. "Quantifying the Life-Cycle Benefits of an Influential Early-Childhood Program," Journal of Political Economy, University of Chicago Press, vol. 128(7), pages 2502-2541.
    3. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    4. Gueorgui Kambourov & Iourii Manovskii & Miana Plesca, 2020. "Occupational mobility and the returns to training," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(1), pages 174-211, February.
    5. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).
    6. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
    7. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    8. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
    9. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    10. David McKenzie & Steven Stillman & John Gibson, 2010. "How Important is Selection? Experimental VS. Non‐Experimental Measures of the Income Gains from Migration," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 913-945, June.
    11. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    12. McKenzie, David & Gibson, John & Stillman, Steven, 2006. "How important is selection ? Experimental versus non-experimental measures of the income gains from migration," Policy Research Working Paper Series 3906, The World Bank.
    13. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    14. 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.
    15. Davis, K. & Nkonya, E. & Kato, E. & Mekonnen, D.A. & Odendo, M. & Miiro, R. & Nkuba, J., 2012. "Impact of Farmer Field Schools on Agricultural Productivity and Poverty in East Africa," World Development, Elsevier, vol. 40(2), pages 402-413.
    16. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    17. Cox-Edwards, Alejandra & Rodríguez-Oreggia, Eduardo, 2009. "Remittances and Labor Force Participation in Mexico: An Analysis Using Propensity Score Matching," World Development, Elsevier, vol. 37(5), pages 1004-1014, May.
    18. Gonzalo Nunez-Chaim & Henry G. Overman & Capucine Riom, 2024. "Does subsidising business advice improve firm performance? Evidence from a large RCT," CEP Discussion Papers dp1977, Centre for Economic Performance, LSE.
    19. Dehejia Rajeev, 2015. "Experimental and Non-Experimental Methods in Development Economics: A Porous Dialectic," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 47-69, June.
    20. Jan Stede, 2019. "Do Energy Efficiency Networks Save Energy? Evidence from German Plant-Level Data," Discussion Papers of DIW Berlin 1813, DIW Berlin, German Institute for Economic Research.

    More about this item

    Keywords

    Reggio approach; Early childhood education; Childcare; Evaluation; Italian education;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    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:cpr:ceprdp:12031. 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.