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Ch. 1 | Difference Equations | 1 |
1 | Time-Series Models | 2 |
2 | Difference Equations and Their Solutions | 7 |
3 | Solution by Iteration | 10 |
4 | An Alternative Solution Methodology | 16 |
5 | The Cobweb Model | 20 |
6 | Solving Homogeneous Difference Equations | 25 |
7 | Finding Particular Solutions for Determimstic Processes | 35 |
8 | The Method of Undetermined Coefficients | 38 |
9 | Lag Operators | 45 |
10 | Forward-Versus Backward-Looking Solutions | 48 |
Ch. 2 | Stationary Time-Series Models | 63 |
1 | Stochastic Difference Equation Models | 63 |
2 | ARMA Models | 67 |
3 | Stationarity | 68 |
4 | Stationarity Restrictions for an ARMA(p, q) Model | 72 |
5 | The Autocorrelation Function | 78 |
6 | The Partial Autocorrelation Function | 82 |
7 | Sample Autocorrelations of Stationary Series | 86 |
8 | Box-Jenkins Model Selection | 95 |
9 | The Forecast Function | 99 |
10 | A Model of the WPI | 106 |
11 | Seasonality | 111 |
Ch. 3 | Modeling Economic Time Series: Trends and Volatility | 135 |
1 | Economic Time Series: The Stylized Facts | 135 |
2 | ARCH Processes | 139 |
3 | ARCH and GARCH Estimates of Inflation | 149 |
4 | Estimating a GARCH Model of the WPI: An Example | 152 |
5 | A GARCH Model of Risk | 156 |
6 | The ARCH-M Model | 158 |
7 | Maximum Likelihood Estimation of GARCH and ARCH-M Models | 162 |
8 | Deterministic and Stochastic Trends | 166 |
9 | Removing the Trend | 176 |
10 | Are There Business Cycles? | 181 |
11 | Stochastic Trends and Univariate Decompositions | 185 |
Ch. 4 | Testing for Trends and Unit Roots | 211 |
1 | Unit Root Processes | 212 |
2 | Dickey-Fuller Tests | 221 |
3 | Extensions of the Dickey-Fuller Tests | 225 |
4 | Examples of the Augmented Dickey-Fuller Test | 233 |
5 | Phillips-Perron Tests | 239 |
6 | Structural Change | 243 |
7 | Problems in Testing for Unit Roots | 251 |
Ch. 5 | Multiequation Time-Series Models | 269 |
1 | Intervention Analysis | 270 |
2 | Transfer Function Models | 277 |
3 | Estimating a Transfer Function | 286 |
4 | Limits to Structural Multivariate Estimation | 291 |
5 | Introduction to VAR Analysis | 294 |
6 | Estimation and Identification | 300 |
7 | The Impulse Response Function | 305 |
8 | Hypothesis Testing | 312 |
9 | Example of a Simple VAR: Terrorism and Tourism in Spain | 316 |
10 | Structural VARs | 320 |
11 | Examples of Structural Decompositions | 324 |
12 | The Blanchard and Quah Decomposition | 331 |
13 | Decomposing Real and Nominal Exchange Rate Movements: An Example | 338 |
Ch. 6 | Cointegration and Error-Correction Models | 355 |
1 | Linear Combinations of Integrated Variables | 356 |
2 | Cointegration and Common Trends | 363 |
3 | Cointegration and Error Correction | 365 |
4 | Testing for Cointegration: The Engle-Granger Methodology | 373 |
5 | Illustrating the Engle-Granger Methodology | 377 |
6 | Cointegration and Purchasing-Power Parity | 381 |
7 | Characteristic Roots, Rank, and Cointegration | 385 |
8 | Hypothesis Testing in a Cointegration Framework | 393 |
9 | Illustrating the Johansen Methodology | 396 |
10 | Generalized Purchasing-Power Parity | 400 |
Statistical tables A. Empirical Distributions of the [tau] Statistics | 419 | |
Statistical tables B. Empirical Distributions of the [phi] Statistics | 420 | |
Statistical tables C. Empirical Distributions of the [lambda[subscript max]] and [lambda[subscript trace]] Statistics | 421 | |
References | 423 | |
Author Index | 427 | |
Subject Index | 429 |
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Add Applied Econometric Times Series, Enders continues to provide business professionals with an accessible introduction to time-series analysis. He clearly shows them how to develop models capable of forecasting, interpreting, and testing hypotheses concerning economic data using the latest , Applied Econometric Times Series to the inventory that you are selling on WonderClubX
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Add Applied Econometric Times Series, Enders continues to provide business professionals with an accessible introduction to time-series analysis. He clearly shows them how to develop models capable of forecasting, interpreting, and testing hypotheses concerning economic data using the latest , Applied Econometric Times Series to your collection on WonderClub |