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Subjective Parental Beliefs: Their Measurement and Role

Author

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  • Orazio Attanasio
  • Flávio Cunha
  • Pamela Jervis

Abstract

We study the importance of maternal subjective beliefs about the technology of skill formation in determining parental investments in child development. We describe our framework in three steps. First, we discuss the construction of the survey instrument we used to elicit maternal subjective beliefs. Second, we show how to convert the answers to the survey instrument into estimates of maternal subjective beliefs. Finally, we correlate maternal subjective beliefs with maternal investments in child development. We apply our framework to a unique dataset collected as part of an 18-month-long parenting stimulation program in Colombia, whose target population was low-income households with children aged 12 to 24 months at baseline and lasted 18 months. In this program, home visitors paid weekly visits to randomly chosen households to improve mother-child interactions and other maternal behaviors that foster the development of children’s cognitive and non-cognitive skills. We show that most mothers believe that the technology of skill formation follows a Cobb- Douglas parameterization, but there is significant heterogeneity in coefficients of investments across mothers. In addition, mothers hold low subjective expectations, meaning they underestimate the returns on their investments. We also find that maternal subjective beliefs predict investments but that the program did not affect maternal subjective beliefs.

Suggested Citation

  • Orazio Attanasio & Flávio Cunha & Pamela Jervis, 2019. "Subjective Parental Beliefs: Their Measurement and Role," NBER Working Papers 26516, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26516
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    References listed on IDEAS

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    1. Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," Cowles Foundation Discussion Papers 1987, Cowles Foundation for Research in Economics, Yale University.
    2. Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2020. "Estimating the Production Function for Human Capital: Results from a Randomized Controlled Trial in Colombia," American Economic Review, American Economic Association, vol. 110(1), pages 48-85, January.
    3. 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.
    4. Janet Currie & Duncan Thomas, 1999. "Early Test Scores, Socioeconomic Status and Future Outcomes," NBER Working Papers 6943, National Bureau of Economic Research, Inc.
    5. Heckman, James J. & Moon, Seong Hyeok & Pinto, Rodrigo & Savelyev, Peter A. & Yavitz, Adam, 2010. "The rate of return to the HighScope Perry Preschool Program," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 114-128, February.
    6. Teodora Boneva & Christopher Rauh, 2018. "Parental Beliefs about Returns to Educational Investments—The Later the Better?," Journal of the European Economic Association, European Economic Association, vol. 16(6), pages 1669-1711.
    7. Marta Rubio-Codina & Orazio Attanasio & Costas Meghir & Natalia Varela & Sally Grantham-McGregor, 2015. "The Socioeconomic Gradient of Child Development: Cross-Sectional Evidence from Children 6–42 Months in Bogota," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 464-483.
    8. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.
    9. Flávio Cunha & Irma Elo & Jennifer Culhane, 2013. "Eliciting Maternal Expectations about the Technology of Cognitive Skill Formation," NBER Working Papers 19144, National Bureau of Economic Research, Inc.
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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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