IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp18563.html

The Matthew Effect in Literary Careers: Does Early Success Foster Future Success?

Author

Listed:
  • Marchesi, Silvia

    (Department of Economics at the University of Milano Bicocca, Italy)

  • Ponzo, Michela

    (Department of Political and Social Sciences, University of Calabria, Italy)

  • Scoppa, Vincenzo

    (University of Calabria)

  • Spano, Idola Francesca

    (Department of Economics, Statistics and Finance "Giovanni Anania", University of Calabria)

Abstract

The "Matthew effect" refers to a "rich-get-richer" mechanism whereby early success shapes subsequent achievement. We examine whether this mechanism operates in literary careers by analyzing whether early commercial or critical success leads to cumulative advantages in authors' subsequent works. Using weekly bestseller data for Italian fiction spanning 1975-2025 and exploiting a panel structure at the author-book level, we estimate both baseline OLS models and an Event Study Design. We consider multiple definitions of success, including winning a major literary prize and sustained presence on bestseller lists. Our findings show that prize-based success has virtually no effect on the performance of subsequent books, whereas sustained bestseller success is associated with a small but positive effect on future success. This divergence is likely driven by the fact that literary prizes often induce readers to consume books that fall outside their usual preferences. Our results are robust across alternative specifications, and the positive effect of bestseller success is stronger for younger authors, for women and for books published in more recent decades.

Suggested Citation

  • Marchesi, Silvia & Ponzo, Michela & Scoppa, Vincenzo & Spano, Idola Francesca, 2026. "The Matthew Effect in Literary Careers: Does Early Success Foster Future Success?," IZA Discussion Papers 18563, IZA Network @ LISER.
  • Handle: RePEc:iza:izadps:dp18563
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp18563.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    2. Lucien Karpik, 2010. "Valuing the Unique: The Economics of Singularities," Economics Books, Princeton University Press, edition 1, number 9215, December.
    3. Pierre Azoulay & Toby Stuart & Yanbo Wang, 2014. "Matthew: Effect or Fable?," Management Science, INFORMS, vol. 60(1), pages 92-109, January.
    4. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LLC, vol. 21(4), pages 853-884, December.
    5. Etro, Federico & Marchesi, Silvia & Stepanova, Elena, 2020. "Liberalizing art. Evidence on the Impressionists at the end of the Paris Salon," European Journal of Political Economy, Elsevier, vol. 62(C).
    6. repec:bla:jfinan:v:59:y:2004:i:4:p:1805-1844 is not listed on IDEAS
    7. repec:ces:ceswps:_11573 is not listed on IDEAS
    8. Michela Ponzo & Vincenzo Scoppa, 2015. "Experts’ awards and economic success: evidence from an Italian literary prize," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(4), pages 341-367, November.
    9. Victor Ginsburgh, 2003. "Awards, Success and Aesthetic Quality in the Arts," Journal of Economic Perspectives, American Economic Association, vol. 17(2), pages 99-111, Spring.
    10. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    11. Carlos Dobkin & Amy Finkelstein & Raymond Kluender & Matthew J. Notowidigdo, 2018. "The Economic Consequences of Hospital Admissions," American Economic Review, American Economic Association, vol. 108(2), pages 308-352, February.
    12. Yang Wang & Benjamin F. Jones & Dashun Wang, 2019. "Early-career setback and future career impact," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    13. David M. Waguespack & Olav Sorenson, 2011. "The Ratings Game: Asymmetry in Classification," Organization Science, INFORMS, vol. 22(3), pages 541-553, June.
    14. Justin Gallagher, 2014. "Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 206-233, July.
    15. Alan T. Sorensen, 2007. "Bestseller Lists And Product Variety," Journal of Industrial Economics, Wiley Blackwell, vol. 55(4), pages 715-738, December.
    16. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    17. Nicolas Lagios & Pierre‐Guillaume Méon, 2024. "Experts, Information, Reviews, and Coordination: Evidence on How Prizes Affect Sales," Journal of Industrial Economics, Wiley Blackwell, vol. 72(1), pages 49-80, March.
    18. Nicolas Lagios & Pierre-Guillaume Méon, 2023. "A Matter of Taste: The Negative Welfare Effect of Expert Judgments," Working Papers CEB 23-009, ULB -- Universite Libre de Bruxelles.
    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. Michela Ponzo & Vincenzo Scoppa & Idola Francesca Spanò, 2025. "Have You Read That Book? No, But I’Ve Seen The Film: An Event Study On The Impact Of Film Releases," Working Papers 202501, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    2. Ponzo, Michela & Scoppa, Vincenzo, 2023. "Famous after death: The effect of a writer's death on book sales," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 210-225.
    3. Kamal Bookwala & Caleb Gallemore & Joaquín Gómez‐Miñambres, 2022. "The influence of food recommendations: Evidence from a randomized field experiment," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1898-1910, October.
    4. Keuschnigg, Marc, 2015. "Product Success in Cultural Markets: The Mediating Role of Familiarity, Peers, and Experts," MPRA Paper 63444, University Library of Munich, Germany.
    5. Michela Ponzo & Vincenzo Scoppa, 2015. "Experts’ awards and economic success: evidence from an Italian literary prize," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(4), pages 341-367, November.
    6. Mark Armstrong, 2017. "Ordered Consumer Search," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 989-1024.
    7. Jansson, Evelina, 2025. "The impact of Electric Vehicle adoption on residential electricity consumption: Insights from Sweden," Energy Economics, Elsevier, vol. 152(C).
    8. Ethan Mollick & Ramana Nanda, 2016. "Wisdom or Madness? Comparing Crowds with Expert Evaluation in Funding the Arts," Management Science, INFORMS, vol. 62(6), pages 1533-1553, June.
    9. Constantino Carreto & Simon Freyaldenhoven & Christian Hansen & Jorge Perez Perez & Jesse Shapiro, 2024. "xtevent: Estimation and Visualization in the Linear Panel Event-Study Design," Working Papers 24-15, Federal Reserve Bank of Philadelphia.
    10. Nicolas Lagios & Pierre‐Guillaume Méon, 2024. "Experts, Information, Reviews, and Coordination: Evidence on How Prizes Affect Sales," Journal of Industrial Economics, Wiley Blackwell, vol. 72(1), pages 49-80, March.
    11. Amanda J. Sharkey & Balázs Kovács, 2018. "The Many Gifts of Status: How Attending to Audience Reactions Drives the Use of Status," Management Science, INFORMS, vol. 64(11), pages 5422-5443, November.
    12. Aloys Prinz & Jan Piening & Thomas Ehrmann, 2015. "The success of art galleries: a dynamic model with competition and information effects," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(2), pages 153-176, May.
    13. Gu, Chen & Guo, Xu & Zhang, Chengping, 2022. "Analyst target price revisions and institutional herding," International Review of Financial Analysis, Elsevier, vol. 82(C).
    14. Ruomeng Cui & Dennis J. Zhang & Achal Bassamboo, 2019. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," Management Science, INFORMS, vol. 65(3), pages 1216-1235, March.
    15. Haddou, Samira, 2024. "Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    16. Jonas Hedlund & Carlos Oyarzun, 2018. "Imitation in heterogeneous populations," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(4), pages 937-973, June.
    17. Cao, Melanie & Shi, Shouyong, 2006. "Signaling in the Internet craze of initial public offerings," Journal of Corporate Finance, Elsevier, vol. 12(4), pages 818-833, September.
    18. Wei He & Qian Wang, 2020. "The peer effect of corporate financial decisions around split share structure reform in China," Review of Financial Economics, John Wiley & Sons, vol. 38(3), pages 474-493, July.
    19. Kraemer, Carlo & Noth, Markus & Weber, Martin, 2006. "Information aggregation with costly information and random ordering: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 59(3), pages 423-432, March.
    20. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:iza:izadps:dp18563. 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: Mark Fallak (email available below). General contact details of provider: https://edirc.repec.org/data/izaaalu.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.