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Applied Econometric Times Series Book

Applied Econometric Times Series
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 has a rating of 3 stars
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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
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  • Applied Econometric Times Series
  • Written by author Walter Enders
  • Published by Wiley, John & Sons, Incorporated, November 2009
  • 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
  • Accessible & Modern Techniques for Time-Series Analysis Assuming only a basic understanding of multiple regression analysis, this classic introduction to time-series analysis shows how to develop models capable of forecasting, interpreting, and
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Ch. 1Difference Equations1
1Time-Series Models2
2Difference Equations and Their Solutions7
3Solution by Iteration10
4An Alternative Solution Methodology16
5The Cobweb Model20
6Solving Homogeneous Difference Equations25
7Finding Particular Solutions for Determimstic Processes35
8The Method of Undetermined Coefficients38
9Lag Operators45
10Forward-Versus Backward-Looking Solutions48
Ch. 2Stationary Time-Series Models63
1Stochastic Difference Equation Models63
2ARMA Models67
3Stationarity68
4Stationarity Restrictions for an ARMA(p, q) Model72
5The Autocorrelation Function78
6The Partial Autocorrelation Function82
7Sample Autocorrelations of Stationary Series86
8Box-Jenkins Model Selection95
9The Forecast Function99
10A Model of the WPI106
11Seasonality111
Ch. 3Modeling Economic Time Series: Trends and Volatility135
1Economic Time Series: The Stylized Facts135
2ARCH Processes139
3ARCH and GARCH Estimates of Inflation149
4Estimating a GARCH Model of the WPI: An Example152
5A GARCH Model of Risk156
6The ARCH-M Model158
7Maximum Likelihood Estimation of GARCH and ARCH-M Models162
8Deterministic and Stochastic Trends166
9Removing the Trend176
10Are There Business Cycles?181
11Stochastic Trends and Univariate Decompositions185
Ch. 4Testing for Trends and Unit Roots211
1Unit Root Processes212
2Dickey-Fuller Tests221
3Extensions of the Dickey-Fuller Tests225
4Examples of the Augmented Dickey-Fuller Test233
5Phillips-Perron Tests239
6Structural Change243
7Problems in Testing for Unit Roots251
Ch. 5Multiequation Time-Series Models269
1Intervention Analysis270
2Transfer Function Models277
3Estimating a Transfer Function286
4Limits to Structural Multivariate Estimation291
5Introduction to VAR Analysis294
6Estimation and Identification300
7The Impulse Response Function305
8Hypothesis Testing312
9Example of a Simple VAR: Terrorism and Tourism in Spain316
10Structural VARs320
11Examples of Structural Decompositions324
12The Blanchard and Quah Decomposition331
13Decomposing Real and Nominal Exchange Rate Movements: An Example338
Ch. 6Cointegration and Error-Correction Models355
1Linear Combinations of Integrated Variables356
2Cointegration and Common Trends363
3Cointegration and Error Correction365
4Testing for Cointegration: The Engle-Granger Methodology373
5Illustrating the Engle-Granger Methodology377
6Cointegration and Purchasing-Power Parity381
7Characteristic Roots, Rank, and Cointegration385
8Hypothesis Testing in a Cointegration Framework393
9Illustrating the Johansen Methodology396
10Generalized Purchasing-Power Parity400
Statistical tables A. Empirical Distributions of the [tau] Statistics419
Statistical tables B. Empirical Distributions of the [phi] Statistics420
Statistical tables C. Empirical Distributions of the [lambda[subscript max]] and [lambda[subscript trace]] Statistics421
References423
Author Index427
Subject Index429


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