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

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Author Info
Prieger, James (U of California, Davis)

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Abstract

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

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File URL: http://www.econ.ucdavis.edu/working_papers/05-35.pdf
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Paper provided by University of California at Davis, Department of Economics in its series Working Papers with number 05-35.

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Date of creation: Nov 2005
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Handle: RePEc:ecl:ucdeco:05-35

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  1. 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. [Downloadable!] (restricted)
  2. Heckman, James J. & Singer, Burton, 1986. "Econometric analysis of longitudinal data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 29, pages 1689-1763 Elsevier. [Downloadable!] (restricted)
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