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Advances in Econometrics Vol. 13: Messy Data - Missing Observations, Outliers and Mixed Frequency Data

by Hill, R. Carter

Advances in Econometrics Vol. 13: Messy Data - Missing Observations, Outliers and Mixed Frequency Data cover
  • ISBN: 9780762303038
  • ISBN10: 0762303034

Advances in Econometrics Vol. 13: Messy Data - Missing Observations, Outliers and Mixed Frequency Data

by Hill, R. Carter

  • Binding: Hardcover
  • Publisher: JAI Press
  • Publish date: 01/19/1999
  • ISBN: 9780762303038
  • ISBN10: 0762303034
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Description: List of contributors. Introduction (T.B. Fomby, R. Carter Hill). Testing for random individual and time effects using unbalanced panel data (B.H. Baltagi et al. ). A statistical approach for disaggregating mixed-frequency economic time series data (Wai-Sum Chan, Zhao-Guo Chen). An extended Yule-Walker method for estimating a vector autoregressive model with mixed-frequency data (B. Chen, P.A. Zadrozny). Missing data from infrequency of purchase: Bayesian estimation of a linear expenditure system (W. Griffiths, M.R. Valenzuela). Messy time series: a unified approach (A. Harvey et al. ). Simulation of multinomial probit probabilities and imputation of missing data (V. Lavy et al. ). Temporal disaggregation, missing observations, outliers, and forecasting: a unifying non-model based procedure (M. Marcellino). Testing for unit roots in economic time-series with missing observations (K.F. Ryan, D.E.A. Giles). Influential data diagnostics for transition data (L.W. Taylor). The effects of different types of outliers on unit root tests (Yong Yin, G.S. Maddala).
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