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The Impact of Television Programmes on Teenage Career Aspirations The 'MasterChef Effect'

Author

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  • Di Pietro, Giorgio

    (European Commission, DG Joint Research Centre)

Abstract

In recent years, in Italy, a larger number of students have chosen to attend vocational hospitality and catering schools. This paper investigates the extent to which this increase may have been triggered by the growing popularity of the cooking reality show MasterChef, in which the chef profession is portrayed as exciting and glamorous. Using panel data methods and controlling for several potential confounding variables, the analysis attempts to separate the effect of MasterChef from that of other determinants of the decision to attend vocational hospitality and catering schools. The results show that an increase of one percentage point in the audience of MasterChef is associated with an increase in the proportion of final year lower secondary school students willing to enrol at vocational hospitality and catering schools of between 0.25 and 0.35 percentage points. This finding suggests that popular television programmes like MasterChef may play an important role in complementing and supplementing government measures aimed at promoting vocational training among youths.

Suggested Citation

  • Di Pietro, Giorgio, 2016. "The Impact of Television Programmes on Teenage Career Aspirations The 'MasterChef Effect'," IZA Discussion Papers 9804, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp9804
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    References listed on IDEAS

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    1. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    2. Christopher Ruhm, 2007. "A healthy economy can break your heart," Demography, Springer;Population Association of America (PAA), vol. 44(4), pages 829-848, November.
    3. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    4. Per-Anders Edin & Bertil Holmlund, 1995. "The Swedish Wage Structure: The Rise and Fall of Solidarity Wage Policy?," NBER Chapters, in: Differences and Changes in Wage Structures, pages 307-344, National Bureau of Economic Research, Inc.
    5. Peter Hinrichs, 2012. "The Effects of Affirmative Action Bans on College Enrollment, Educational Attainment, and the Demographic Composition of Universities," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 712-722, August.
    6. W. Robert Reed & Haichun Ye, 2009. "Which panel data estimator should I use?," Applied Economics, Taylor & Francis Journals, vol. 43(8), pages 985-1000.
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    Cited by:

    1. Gibogwe, Vincent & Nigo, Ayine & Kufuor, Karen, 2022. "FDI and economic growth in SADC region," MPRA Paper 115029, University Library of Munich, Germany, revised 29 Sep 2022.

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    More about this item

    Keywords

    panel data analysis; vocational hospitality and catering schools; teenage career aspirations; MasterChef;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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