Del 13 - Advances in Econometrics

Messy Data

Missing Observations, Outliers, and Mixed-Frequency Data

Inbunden, Engelska, 1999

Av R. Carter Hill, Thomas B. Fomby

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Often applied econometricians are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest variables that are observed at different frequencies, and sometimes econometric results are very fragile to the inclusion or omission of just a few observations in the sample. Papers in this volume discuss new econometric techniques for addressing these problems.

Produktinformation

Utgivningsdatum1999-01-19
Mått156 x 234 x 19 mm
Vikt625 g
FormatInbunden
SpråkEngelska
SerieAdvances in Econometrics
Antal sidor320
FörlagEmerald Publishing Limited
ISBN9780762303038

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Mikroekonomi inom Ekonomi och ledarskap

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).