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 MAN Principles of microeconomics	330 SAL Managerial economics: principles and worldwide applications	330.0151 STA General Equilibrium Theory : An Introduction	330.01519233 END Applied econometric time series	330.01519542 GRE Introduction to Bayesian econometrics /	330.1 ACE Why Nations Fail: The Origins of Power, Prosperity, and Poverty	330.1 ACE Why Nations Fail: The Origins of Power, Prosperity, and Poverty	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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