• Media type: E-Book; Report
  • Title: Accounting for Missing Values in Score-Driven Time-Varying Parameter Models
  • Contributor: Lucas, Andre [Author]; Opschoor, Anne [Author]; Schaumburg, Julia [Author]
  • imprint: Amsterdam and Rotterdam: Tinbergen Institute, 2016
  • Language: English
  • Keywords: C52 ; Expectation-Maximization ; generalized autoregressive score models ; missing completely at random ; C53
  • Origination:
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  • Description: We show that two alternative perspectives on how to deal with missing data in the context of the score-driven time-varying parameter models of Creal, Koopman, Lucas (2013) and Harvey (2013) lead to precisely the same dynamic transition equations. As score-driven models encompass a wide variety of time-varying parameter models (including generalized autoregressive conditional volatility (GARCH) and duration (ACD) models), the results apply to a wide range of empirically relevant models as applied in economics and statistics.
  • Access State: Open Access