IDEAS home Printed from https://ideas.repec.org/p/ptl/wpaper/54.html

Optimal Task Assignments

Author

Listed:
  • Felipe Balmaceda

    (Facultad de Economía y Empresa, Universidad Diego Portales)

Abstract

This paper studies optimal task assignments in a risk neutral principal-agent model in which agents are compensated according to an aggregated performance measure. The main trade-off involved is one in which specialization allows the implementation of any possible effort profile, while multitasking constraint the set of implementable effort profiles. Yet, the implementation of any effort profile in this set is less expensive than that under specialization. The principal prefers multitasking to specialization except when tasks are complements and the output after success is small enough so that it is not second-best optimal to implement high effort in each task. This result is robust to several extensions such as the existence of multiple performance measures.

Suggested Citation

  • Felipe Balmaceda, 2014. "Optimal Task Assignments," Working Papers 54, Facultad de Economía y Empresa, Universidad Diego Portales.
  • Handle: RePEc:ptl:wpaper:54
    as

    Download full text from publisher

    File URL: http://www.udp.cl/descargas/facultades_carreras/economia/pdf/documentos_investigacion/wp_54_Balmaceda_Optimal_Task_Assignments.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Balmaceda, Felipe, 2018. "Optimal task assignments with loss-averse agents," European Economic Review, Elsevier, vol. 105(C), pages 1-26.
    3. Lu, Zhuoran & Song, Yangbo, 2025. "Network-based peer monitoring design," Journal of Economic Theory, Elsevier, vol. 224(C).
    4. Xu, Minbo & Yin, Nina & Li, Sanxi, 2019. "Multitask assignments with adverse selection," Economics Letters, Elsevier, vol. 181(C), pages 127-132.
    5. Zhaolin Li & Steven Q. Lu & Jennifer K. Ryan & Daewon Sun, 2021. "Impact of Organizational Structure on Development Strategy under Equity‐Based Incentives," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 984-996, April.

    More about this item

    JEL classification:

    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

    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:ptl:wpaper:54. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Enrique Calfucura The email address of this maintainer does not seem to be valid anymore. Please ask Enrique Calfucura to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/feudpcl.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.