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Applied econometric time series/ by Walter Enders

By: Publication details: Wiley 2018 New DelhiEdition: 4Description: ix, 485pages: Illustrations; 24 cmsISBN:
  • 9788126572731
Subject(s): DDC classification:
  • 330.015195
Contents:
Ch. 1. Difference Equations. 1. Time-Series Models. 2. Difference Equations and Their Solutions. 3. Solution by Iteration. 4. An Alternative Solution Methodology. 5. The Cobweb Model. 6. Solving Homogeneous Difference Equations. 7. Finding Particular Solutions for Determimstic Processes. 8. The Method of Undetermined Coefficients. 9. Lag Operators. 10. Forward-Versus Backward-Looking Solutions -- Ch. 2. Stationary Time-Series Models. 1. Stochastic Difference Equation Models. 2. ARMA Models. 3. Stationarity. 4. Stationarity Restrictions for an ARMA(p, q) Model. 5. The Autocorrelation Function. 6. The Partial Autocorrelation Function. 7. Sample Autocorrelations of Stationary Series. 8. Box-Jenkins Model Selection. 9. The Forecast Function. 10. A Model of the WPI. 11. Seasonality -- Ch. 3. Modeling Economic Time Series: Trends and Volatility. 1. Economic Time Series: The Stylized Facts. 2. ARCH Processes. 3. ARCH and GARCH Estimates of Inflation.
Abstract: This advanced text for a course on time series econometrics introduces modern time series analyses through the use of wide-ranging examples and applications. Providing a balance between macro- and microeconomic applications, the book covers recent work that has only been published in journals
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Item type Current library Collection Call number Status Date due Barcode
Book Book Indian Institute of Management Visakhapatnam General Stacks Non-fiction 330.015195 END (Browse shelf(Opens below)) Available 001073
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330.0151932 LAM Differential games in industrial economics 330.015195 Agent-based Models: A Toolkit 330.015195 AST Applied econometrics / 330.015195 END Applied econometric time series/ 330.019 ANG A course in behavioral economics / 330.019 CAR Behavioral Economics 330.019 THA Misbehaving the Making of Behavioural Economics

Ch. 1. Difference Equations. 1. Time-Series Models. 2. Difference Equations and Their Solutions. 3. Solution by Iteration. 4. An Alternative Solution Methodology. 5. The Cobweb Model. 6. Solving Homogeneous Difference Equations. 7. Finding Particular Solutions for Determimstic Processes. 8. The Method of Undetermined Coefficients. 9. Lag Operators. 10. Forward-Versus Backward-Looking Solutions --
Ch. 2. Stationary Time-Series Models. 1. Stochastic Difference Equation Models. 2. ARMA Models. 3. Stationarity. 4. Stationarity Restrictions for an ARMA(p, q) Model. 5. The Autocorrelation Function. 6. The Partial Autocorrelation Function. 7. Sample Autocorrelations of Stationary Series. 8. Box-Jenkins Model Selection. 9. The Forecast Function. 10. A Model of the WPI. 11. Seasonality --
Ch. 3. Modeling Economic Time Series: Trends and Volatility. 1. Economic Time Series: The Stylized Facts. 2. ARCH Processes. 3. ARCH and GARCH Estimates of Inflation.


This advanced text for a course on time series econometrics introduces modern time series analyses through the use of wide-ranging examples and applications. Providing a balance between macro- and microeconomic applications, the book covers recent work that has only been published in journals

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