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Messy data = missing observations, o...
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Hill, R. Carter.
Messy data = missing observations, outliers,and mixed-frequency data /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Messy data/ edited by R. Carter Hill.
Reminder of title:
missing observations, outliers,and mixed-frequency data /
other author:
Hill, R. Carter.
Published:
Bingley, U.K. :Emerald, : 1999.,
Description:
1 online resource (xii, 305 p.).
Subject:
Science - History. -
Online resource:
http://www.emeraldinsight.com/0731-9053/13
ISBN:
9781849508230 (electronic bk.)
Messy data = missing observations, outliers,and mixed-frequency data /
Messy data
missing observations, outliers,and mixed-frequency data /[electronic resource] :edited by R. Carter Hill. - Bingley, U.K. :Emerald,1999. - 1 online resource (xii, 305 p.). - Advances in econometrics,v. 130731-9053 ;. - Advances in econometrics ;v. 12..
Testing for random individual and time effects using unbalanced panel data / Qi Li -- Messy time series : a unified approach / Jeremy Penzer -- Simulation of multinomial probit probabilities and imputation of missing data / Steven Stern -- Temporal disaggregation, missing observations, outliers, and forecasting : a unifying non-model-based procedure / Massimiliano Marcellino -- Testing for unit roots in economic time series with missing observations / David E.A. Giles -- A statistical approach for disaggregating mixed-frequency economic / Zhao-Guo Chen -- Influential data diagnostics for transition data / Larry W. Taylor -- The effects of different types of outliers on unit root tests/ G.S. Maddala -- An extended yule-walker method for estimating a vector autoregressive model with mixed-frequencey data / Peter A. Zadrozny -- Missing data from infrequency of purchase : Bayesian estimation of a linear expenditure system / Ma. Rebecca Valenzuela -- Introduction / Carter Hill.
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 afew observations in the sample. Papers in this volume discuss new econometric techniques for addressing these problems.
ISBN: 9781849508230 (electronic bk.)Subjects--Topical Terms:
593006
Science
--History.
LC Class. No.: HB139 / .M47 1999
Dewey Class. No.: 330.015195
Universal Decimal Class. No.: 330.43
Messy data = missing observations, outliers,and mixed-frequency data /
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missing observations, outliers,and mixed-frequency data /
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Testing for random individual and time effects using unbalanced panel data / Qi Li -- Messy time series : a unified approach / Jeremy Penzer -- Simulation of multinomial probit probabilities and imputation of missing data / Steven Stern -- Temporal disaggregation, missing observations, outliers, and forecasting : a unifying non-model-based procedure / Massimiliano Marcellino -- Testing for unit roots in economic time series with missing observations / David E.A. Giles -- A statistical approach for disaggregating mixed-frequency economic / Zhao-Guo Chen -- Influential data diagnostics for transition data / Larry W. Taylor -- The effects of different types of outliers on unit root tests/ G.S. Maddala -- An extended yule-walker method for estimating a vector autoregressive model with mixed-frequencey data / Peter A. Zadrozny -- Missing data from infrequency of purchase : Bayesian estimation of a linear expenditure system / Ma. Rebecca Valenzuela -- Introduction / Carter Hill.
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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 afew observations in the sample. Papers in this volume discuss new econometric techniques for addressing these problems.
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http://www.emeraldinsight.com/0731-9053/13
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