Applied econometric time series

By:

Enders, Walter

Material type: Text

TextPublication details: Hoboken Wiley 2010Edition: 3rd edDescription: xiv, 517 pISBN:

9788126543915

Subject(s):

DDC classification:

330.01519233 END

Summary: "This introduction to time-series analysis shows how to develop models capable of forecasting, interpreting, and testing hypotheses concerning economic data using the modern techniques. Numerous real-world examples from fields ranging from agricultural economics to transnational terrorism further illustrate the various techniques." "The new edition reflects both sound structure and recent advances in time-series econometrics, such as out-of-sample forecasting techniques, nonlinear time-series models, Monte Carol analysis and bootstraping."

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Reference	Mahindra University VNLRC Reference	Humanities & S.Sciences	330.01519233 END (Browse shelf(Opens below))	Not for loan	5346
Books	Mahindra University VNLRC General Stacks	Humanities & S.Sciences	330.01519233 END (Browse shelf(Opens below))	Available	5347
Books	Mahindra University VNLRC General Stacks	Humanities & S.Sciences	330.01519233 END (Browse shelf(Opens below))	Available	5348

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Previous	330.01 MEK The Methodology of Positive Economics: Reflections on the Milton Friedman Legacy	330.015 BRI Using Excel for Principles of econometrics	330.015 MIA Economic dynamics in discrete time	330.01519233 END Applied econometric time series	330.01519233 END Applied econometric time series	330.015195 ANG Mastering 'metrics :	330.015195 HUR Designing Economic Mechanisms	Next

"This introduction to time-series analysis shows how to develop models capable of forecasting, interpreting, and testing hypotheses concerning economic data using the modern techniques. Numerous real-world examples from fields ranging from agricultural economics to transnational terrorism further illustrate the various techniques." "The new edition reflects both sound structure and recent advances in time-series econometrics, such as out-of-sample forecasting techniques, nonlinear time-series models, Monte Carol analysis and bootstraping."

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