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Joint parental school choice: Exploring the influence of individual preferences of husbands and wives

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  • Mariel, Petr
  • Scarpa, Riccardo
  • Vega-Bayo, Ainhoa

Abstract

The objective of this paper is to study school choice as a deliberate joint parental decision. This decision is affected by the underlying preferences of the husband and wife. We use survey data from a sample of parents in the metropolitan area of Bilbao (Spain) to estimate a bargaining discrete choice model. The collected data set contains hypothetical school choices gathered in the form of a typical discrete choice experiment (stated preferences) and the actual school choice (revealed preferences). Stated preference data are obtained separately for husbands and wives, but the revealed preference choice is taken jointly. Our findings show, firstly, that the husband's and wife's stated preferences regarding school choice do not differ markedly. Secondly, the results obtained for the revealed preferences deviate from the stated preferences for some school characteristics. Finally, we find that neither the husband's nor the wife's preferences prevail in the actual joint school choice decision.

Suggested Citation

  • Mariel, Petr & Scarpa, Riccardo & Vega-Bayo, Ainhoa, 2018. "Joint parental school choice: Exploring the influence of individual preferences of husbands and wives," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 23-35.
  • Handle: RePEc:eee:regeco:v:68:y:2018:i:c:p:23-35
    DOI: 10.1016/j.regsciurbeco.2017.10.017
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    1. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G. & Branch, Gregory F., 2007. "Charter school quality and parental decision making with school choice," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 823-848, June.
    2. Joshua D. Angrist & Parag A. Pathak & Christopher R. Walters, 2013. "Explaining Charter School Effectiveness," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 1-27, October.
    3. Cohen-Zada, Danny & Justman, Moshe, 2012. "Affinity and tension between religious denominations: Evidence from private school enrolment," Regional Science and Urban Economics, Elsevier, vol. 42(6), pages 950-960.
    4. Marette, Stéphan & Issanchou, Sylvie & Monnery-Patris, Sandrine & Ginon, Emilie & Sutan, Angela, 2016. "Are children more paternalistic than their mothers when choosing snacks?," Journal of Economic Psychology, Elsevier, vol. 55(C), pages 61-76.
    5. David J. Deming, 2011. "Better Schools, Less Crime?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 2063-2115.
    6. Mickael Bech & Dorte Gyrd‐Hansen, 2005. "Effects coding in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1079-1083, October.
    7. Julie Berry Cullen & Brian A Jacob & Steven Levitt, 2006. "The Effect of School Choice on Participants: Evidence from Randomized Lotteries," Econometrica, Econometric Society, vol. 74(5), pages 1191-1230, September.
    8. Donna Dosman & Wiktor Adamowicz, 2006. "Combining Stated and Revealed Preference Data to Construct an Empirical Examination of Intrahousehold Bargaining," Review of Economics of the Household, Springer, vol. 4(1), pages 15-34, March.
    9. Stephane Hess & David Hensher, 2013. "Making use of respondent reported processing information to understand attribute importance: a latent variable scaling approach," Transportation, Springer, vol. 40(2), pages 397-412, February.
    10. Loureiro, Maria L. & Rahmani, Djamel, 2016. "The incidence of calorie labeling on fast food choices: A comparison between stated preferences and actual choices," Economics & Human Biology, Elsevier, vol. 22(C), pages 82-93.
    11. Millimet, Daniel L. & Rangaprasad, Vasudha, 2007. "Strategic competition amongst public schools," Regional Science and Urban Economics, Elsevier, vol. 37(2), pages 199-219, March.
    12. Brasington, David M. & Haurin, Donald R., 2009. "Parents, peers, or school inputs: Which components of school outcomes are capitalized into house value?," Regional Science and Urban Economics, Elsevier, vol. 39(5), pages 523-529, September.
    13. Simon Burgess & Ellen Greaves & Anna Vignoles & Deborah Wilson, 2015. "What Parents Want: School Preferences and School Choice," Economic Journal, Royal Economic Society, vol. 125(587), pages 1262-1289, September.
    14. Nesha Beharry-Borg & David Hensher & Riccardo Scarpa, 2009. "An Analytical Framework for Joint vs Separate Decisions by Couples in Choice Experiments: The Case of Coastal Water Quality in Tobago," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(1), pages 95-117, May.
    15. David J. Deming & Justine S. Hastings & Thomas J. Kane & Douglas O. Staiger, 2014. "School Choice, School Quality, and Postsecondary Attainment," American Economic Review, American Economic Association, vol. 104(3), pages 991-1013, March.
    16. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    17. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    18. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    19. Rubinfeld, Daniel L. & Shapiro, Perry, 1989. "Micro-estimation of the demand for schooling : Evidence from Michigan and Massachusetts," Regional Science and Urban Economics, Elsevier, vol. 19(3), pages 381-398, August.
    20. Black, Sandra E. & Devereux, Paul J., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 16, pages 1487-1541, Elsevier.
    21. Helena Holmlund & Mikael Lindahl & Erik Plug, 2011. "The Causal Effect of Parents' Schooling on Children's Schooling: A Comparison of Estimation Methods," Journal of Economic Literature, American Economic Association, vol. 49(3), pages 615-651, September.
    22. Hoddinott, John & Haddad, Lawrence, 1995. "Does Female Income Share Influence Household Expenditures? Evidence from Cote d'Ivoire," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(1), pages 77-96, February.
    23. Atila Abdulkadiroğlu & Joshua D. Angrist & Peter D. Hull & Parag A. Pathak, 2016. "Charters without Lotteries: Testing Takeovers in New Orleans and Boston," American Economic Review, American Economic Association, vol. 106(7), pages 1878-1920, July.
    24. Rungie, Cam & Scarpa, Riccardo & Thiene, Mara, 2014. "The influence of individuals in forming collective household preferences for water quality," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 161-174.
    25. Robert Bifulco & Helen F. Ladd, 2007. "School choice, racial segregation, and test-score gaps: Evidence from North Carolina's charter school program*," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(1), pages 31-56.
    26. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    27. David A. Hensher & John M. Rose & Ian Black, 2008. "Interactive Agency Choice in Automobile Purchase Decisions: The Role of Negotiation in Determining Equilibrium Choice Outcomes," Journal of Transport Economics and Policy, University of Bath, vol. 42(2), pages 269-296, May.
    28. John Whitehead & Daniel Phaneuf & Christopher Dumas & Jim Herstine & Jeffery Hill & Bob Buerger, 2010. "Convergent Validity of Revealed and Stated Recreation Behavior with Quality Change: A Comparison of Multiple and Single Site Demands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 91-112, January.
    29. Amin, Vikesh & Lundborg, Petter & Rooth, Dan-Olof, 2015. "The intergenerational transmission of schooling: Are mothers really less important than fathers?," Economics of Education Review, Elsevier, vol. 47(C), pages 100-117.
    30. Wiktor Adamowicz & Michel Hanemann & Joffre Swait & Reed Johnson & David Layton & Michel Regenwetter & Torsten Reimer & Robert Sorkin, 2005. "Decision Strategy and Structure in Households: A “Groups” Perspective," Marketing Letters, Springer, vol. 16(3), pages 387-399, December.
    31. Morgan, O. Ashton & Huth, William L., 2011. "Using revealed and stated preference data to estimate the scope and access benefits associated with cave diving," Resource and Energy Economics, Elsevier, vol. 33(1), pages 107-118, January.
    32. Davis, Jason & Brazil, Noli, 2016. "Disentangling fathers’ absences from household remittances in international migration: The case of educational attainment in Guatemala," International Journal of Educational Development, Elsevier, vol. 50(C), pages 1-11.
    33. Vikki O’Neill & Stephane Hess, 2014. "Heterogeneity assumptions in the specification of bargaining models: a study of household level trade-offs between commuting time and salary," Transportation, Springer, vol. 41(4), pages 745-763, July.
    34. David Hensher & Sean Puckett & John Rose, 2007. "Extending stated choice analysis to recognise agent-specific attribute endogeneity in bilateral group negotiation and choice: a think piece," Transportation, Springer, vol. 34(6), pages 667-679, November.
    35. Hoyos, David & Riera, Pere, 2013. "Convergent validity between revealed and stated recreation demand data: Some empirical evidence from the Basque Country, Spain," Journal of Forest Economics, Elsevier, vol. 19(3), pages 234-248.
    36. Bigerna, S. & Bollino, C.A. & Micheli, S. & Polinori, P., 2017. "Revealed and stated preferences for CO2 emissions reduction: The missing link," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1213-1221.
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    Cited by:

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    2. Panchalingam, Thadchaigeni & Howard, Gregory & Allen Klaiber, H. & Roe, Brian E., 2023. "Food choice behavior of adolescents under parent-child interaction in the context of US school lunch programs," Food Policy, Elsevier, vol. 115(C).
    3. Ainhoa Vega-Bayo & Petr Mariel, 2019. "A Discrete Choice Experiment Application to School Choice in the Basque Country," Hacienda Pública Española / Review of Public Economics, IEF, vol. 230(3), pages 41-62, September.

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    More about this item

    Keywords

    C35; Discrete choice modeling; Joint choice; Parental choice; School selection;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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