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Financing and advising with (over)confident entrepreneurs : an experimental investigation

Author

Listed:
  • Nicolas Houy

    (Université de Lyon, Lyon, F-69007, France ; CNRS, GATE Lyon Saint-Etienne, Ecully, F-69130, France; Université Lyon 2, Lyon, F-69007, France)

  • François Le Grand

    (EMLyon Business School, Écully, F-69130, France)

Abstract

We test in the laboratory how entrepreneurs’ skill perceptions influence the design of financing and advising contracts. Our theoretical framework proposes that selfconfident entrepreneurs prefer issuing debt whereas low self-confident ones prefer equity which induces strong investor assistance. The prevalence of overconfidence makes investors more reluctant to accept debt offers and constrains self-confident entrepreneurs to finance through mixed securities. Experimental results show that self-confident entrepreneurs issue more debt-like securities and receive less assistance. We also show that entrepreneurs learn not to offer pure debt and that initial ignorance of their own skills reinforces entrepreneurs’ ability to learn through risky choices.

Suggested Citation

  • Nicolas Houy & François Le Grand, 2015. "Financing and advising with (over)confident entrepreneurs : an experimental investigation," Working Papers 1514, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    • Handle: RePEc:gat:wpaper:1514
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    References listed on IDEAS

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    1. Huseyin Topaloglu, 2009. "Using Lagrangian Relaxation to Compute Capacity-Dependent Bid Prices in Network Revenue Management," Operations Research, INFORMS, vol. 57(3), pages 637-649, June.
    2. Kalyan Talluri & Garrett van Ryzin, 1999. "A Randomized Linear Programming Method for Computing Network Bid Prices," Transportation Science, INFORMS, vol. 33(2), pages 207-216, May.
    3. Meissner, Joern & Strauss, Arne, 2012. "Network revenue management with inventory-sensitive bid prices and customer choice," European Journal of Operational Research, Elsevier, vol. 216(2), pages 459-468.
    4. Demet Çetiner, 2013. "Selected Topics in Revenue Management," Lecture Notes in Economics and Mathematical Systems, in: Fair Revenue Sharing Mechanisms for Strategic Passenger Airline Alliances, edition 127, chapter 0, pages 3-30, Springer.
    5. Kalyan Talluri & Garrett van Ryzin, 1998. "An Analysis of Bid-Price Controls for Network Revenue Management," Management Science, INFORMS, vol. 44(11-Part-1), pages 1577-1593, November.
    6. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    7. Qian Liu & Garrett van Ryzin, 2008. "On the Choice-Based Linear Programming Model for Network Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 288-310, October.
    8. Dan Zhang & Daniel Adelman, 2009. "An Approximate Dynamic Programming Approach to Network Revenue Management with Customer Choice," Transportation Science, INFORMS, vol. 43(3), pages 381-394, August.
    9. Steinhardt, Claudius & Gönsch, Jochen, 2012. "Integrated revenue management approaches for capacity control with planned upgrades," European Journal of Operational Research, Elsevier, vol. 223(2), pages 380-391.
    10. Daniel Adelman, 2007. "Dynamic Bid Prices in Revenue Management," Operations Research, INFORMS, vol. 55(4), pages 647-661, August.
    11. Fred Glover & Randy Glover & Joe Lorenzo & Claude McMillan, 1982. "The Passenger-Mix Problem in the Scheduled Airlines," Interfaces, INFORMS, vol. 12(3), pages 73-80, June.
    12. Juan José Miranda Bront & Isabel Méndez-Díaz & Gustavo Vulcano, 2009. "A Column Generation Algorithm for Choice-Based Network Revenue Management," Operations Research, INFORMS, vol. 57(3), pages 769-784, June.
    13. Demet Çetiner, 2013. "Fair Revenue Sharing Mechanisms for Strategic Passenger Airline Alliances," Lecture Notes in Economics and Mathematical Systems, Springer, edition 127, number 978-3-642-35822-7, December.
    14. de Boer, Sanne V. & Freling, Richard & Piersma, Nanda, 2002. "Mathematical programming for network revenue management revisited," European Journal of Operational Research, Elsevier, vol. 137(1), pages 72-92, February.
    15. Wen-Chyuan Chiang & Jason C.H. Chen & Xiaojing Xu, 2007. "An overview of research on revenue management: current issues and future research," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 1(1), pages 97-128.
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    More about this item

    Keywords

    Network revenue management; Monte-Carlo simulations; randomized linear programming;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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