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The Demand For Liquid Assets: Evidence From The Minflex Laurent Demand System With Conditionally Heteroskedastic Errors

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  • Chang, Dongfeng
  • Serletis, Apostolos

Abstract

We investigate the demand for money and the degree of substitutability among monetary assets in the United States using the generalized Leontief and the Minflex Laurent (ML) models as suggested by Serletis and Shahmoradi (2007). In doing so, we merge the demand systems literature with the recent financial econometrics literature, relaxing the homoskedasticity assumption and instead assuming that the covariance matrix of the errors of flexible demand systems is time-varying. We also pay explicit attention to theoretical regularity, treating the curvature property as a maintained hypothesis. Our findings indicate that only the curvature constrained ML model with a Baba, Engle, Kraft, and Kroner (BEKK) specification for the conditional covariance matrix is able to generate inference consistent with theoretical regularity.

Suggested Citation

  • Chang, Dongfeng & Serletis, Apostolos, 2019. "The Demand For Liquid Assets: Evidence From The Minflex Laurent Demand System With Conditionally Heteroskedastic Errors," Macroeconomic Dynamics, Cambridge University Press, vol. 23(7), pages 2941-2958, October.
    • Handle: RePEc:cup:macdyn:v:23:y:2019:i:07:p:2941-2958_00
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    Cited by:

    1. Fleissig, Adrian R. & Jones, Barry E., 2023. "U.K. household-sector money demand during Brexit and the pandemic," Economic Modelling, Elsevier, vol. 123(C).
    2. Adrian R. Fleissig & James L. Swofford, 2023. "Habit persistence in assets demand," Southern Economic Journal, John Wiley & Sons, vol. 89(3), pages 975-985, January.

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