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Continuous time modeling of panel data: SEM versus filter techniques

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  • Johan H. L. Oud
  • Hermann Singer

Abstract

Although convincing arguments have been put forward for continuous‐time modeling, its use in panel research is rare. In one approach, classical N = 1 state‐space modeling procedures are adapted for panel analysis to estimate the exact discrete model (EDM) by means of filter techniques. Based on earlier less satisfactory indirect methods, a more recent approach uses structural equation modeling (SEM) to get the maximum likelihood estimate of the EDM by the direct method. After an introduction into continuous‐time state‐space modeling for panel data and the EDM, a thorough comparison is made between the two distinct approaches with quite different histories by means of Monte Carlo simulation studies. The model used in the simulation studies is the damped linear oscillator with and without random subject effects.

Suggested Citation

  • Johan H. L. Oud & Hermann Singer, 2008. "Continuous time modeling of panel data: SEM versus filter techniques," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(1), pages 4-28, February.
    • Handle: RePEc:bla:stanee:v:62:y:2008:i:1:p:4-28
    DOI: 10.1111/j.1467-9574.2007.00376.x
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    Cited by:

    1. Chambers, MJ & McCrorie, JR & Thornton, MA, 2017. "Continuous Time Modelling Based on an Exact Discrete Time Representation," Economics Discussion Papers 20497, University of Essex, Department of Economics.

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