IDEAS home Printed from https://ideas.repec.org/p/cda/wpaper/37.html
   My bibliography  Save this paper

Estimation of a Simple Queuing System WithUnits-in-Service and Complete Data

Author

Listed:
  • James E. Prieger

    (Department of Economics, University of California Davis)

Abstract

Queuing theory may be useful for analyzing economic phenomena involvingcount and duration data. We develop maximum likelihood estimators for the time-varyingparameters of a simple queuing system based on two kinds of data: complete interarrivaland service times (IST), and number of units in service (NIS). The IST estimator dominatesthe NIS estimator, in terms of ease of implementation, bias, and variance. Themodel is useful for many empirical applications in economics.

Suggested Citation

  • James E. Prieger, 2005. "Estimation of a Simple Queuing System WithUnits-in-Service and Complete Data," Working Papers 37, University of California, Davis, Department of Economics.
    • Handle: RePEc:cda:wpaper:37
    as

    Download full text from publisher

    File URL: https://repec.dss.ucdavis.edu/files/gKki5wiBNPtWyViMLCx7364X/05-35.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James E. Prieger, 2002. "Regulation, Innovation, and the Introduction of New Telecommunications Services," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 704-715, November.
    2. Daniel, Joseph I, 1995. "Congestion Pricing and Capacity of Large Hub Airports: A Bottleneck Model with Stochastic Queues," Econometrica, Econometric Society, vol. 63(2), pages 327-370, March.
    3. Prieger, James E, 2001. "Telecommunications Regulation and New Services: A Case Study at the State Level," Journal of Regulatory Economics, Springer, vol. 20(3), pages 285-305, November.
    4. Mulligan, James G. & Hoffman, Saul D., 1998. "Daycare Quality and Regulation: A Queuing-Theoretic Approach," Economics of Education Review, Elsevier, vol. 17(1), pages 1-13, February.
    5. Davidson, Carl, 1988. "Equilibrium in Servicing Industries: An Economic Application of Queuing Theory," The Journal of Business, University of Chicago Press, vol. 61(3), pages 347-367, July.
    6. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    7. Mitsuru Iwamura, 1992. "The Determination of Monetary Aggregates and Interest Rates," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 10(1), pages 65-93, February.
    8. De Vany, Arthur & Frey, Gail, 1982. "Backlogs and the Value of Excess Capacity in the Steel Industry," American Economic Review, American Economic Association, vol. 72(3), pages 441-451, June.
    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. James E. Prieger, 2005. "Estimation of a Simple Queuing System WithUnits-in-Service and Complete Data," Working Papers 535, University of California, Davis, Department of Economics.
    2. James E. Prieger, 2002. "Regulation, Innovation, and the Introduction of New Telecommunications Services," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 704-715, November.
    3. James E. Prieger, 2004. "The Impacts of the Americans with Disabilities Act on the Entry and Exit of Retail Firms," Econometric Society 2004 North American Winter Meetings 589, Econometric Society.
    4. Bauer, Johannes M. & Shim, Woohyun, 2012. "Regulation and digital innovation: Theory and evidence," 23rd European Regional ITS Conference, Vienna 2012 60364, International Telecommunications Society (ITS).
    5. James E. Prieger, 2005. "Endogenous Regulatory Delay and the Timing of Product Innovation," Working Papers 54, University of California, Davis, Department of Economics.
    6. James E. Prieger, 2002. "Regulation, Innovation, and the Introduction of New Telecommunications Services," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 704-715, November.
    7. James Prieger, 2008. "Product innovation, signaling, and endogenous regulatory delay," Journal of Regulatory Economics, Springer, vol. 34(2), pages 95-118, October.
    8. Torsten J. Gerpott, 2006. "Innovationen und Regulierung in der Telekommunikationswirtschaft," Schmalenbach Journal of Business Research, Springer, vol. 58(54), pages 133-153, January.
    9. Prieger, James E., 2007. "Regulatory delay and the timing of product innovation," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 219-236, April.
    10. Shamir Noam & Shamir Julia, 2012. "The Role of Prosecutor's Incentives in Creating Congestion in Criminal Courts," Review of Law & Economics, De Gruyter, vol. 8(3), pages 579-618, December.
    11. Cavusoglu, Sabriye Sera & Macário, Rosário, 2021. "Minimum delay or maximum efficiency? Rising productivity of available capacity at airports: Review of current practice and future needs," Journal of Air Transport Management, Elsevier, vol. 90(C).
    12. Achim I. Czerny & Anming Zhang, 2010. "Airport Congestion Pricing and Passenger Types," WHU Working Paper Series - Economics Group 10-01, WHU - Otto Beisheim School of Management.
    13. Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.
    14. Craig Pirrong, 1996. "Market liquidity and depth on computerized and open outcry trading systems: A comparison of DTB and LIFFE bund contracts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(5), pages 519-543, August.
    15. Jan K. Brueckner, 2002. "Airport Congestion When Carriers Have Market Power," American Economic Review, American Economic Association, vol. 92(5), pages 1357-1375, December.
    16. William G. Christie & Paul H. Schultz, 1995. "Policy Watch: Did Nasdaq Market Makers Implicitly Collude?," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 199-208, Summer.
    17. Malinova, Katya & Park, Andreas, 2014. "The impact of competition and information on intraday trading," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 55-71.
    18. Jiang, Changmin & Zhang, Anming, 2015. "Airport congestion pricing and terminal investment: Effects of terminal congestion, passenger types, and concessionsAuthor-Name: Wan, Yulai," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 91-113.
    19. Paresh Kumar Narayan & Sagarika Mishra & Seema Narayan, 2015. "New empirical evidence on the bid-ask spread," Applied Economics, Taylor & Francis Journals, vol. 47(42), pages 4484-4500, September.
    20. Yuan, Xianghui & Li, Xiang, 2022. "Delta-hedging demand and intraday momentum: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).

    More about this item

    Keywords

    m (t)/M (t)/8 queue; infinite server queue; time-varying parameters; Poisson stochasticprocess; duration data;
    All these keywords.

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L8 - Industrial Organization - - Industry Studies: Services

    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:cda:wpaper:37. 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: Letters and Science IT Services Unit (email available below). General contact details of provider: https://edirc.repec.org/data/educdus.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.