PcGive 11 Volume II
Modelling Dynamic Systems
by Doornik.J.A . and Hendry, D.F. ,(2006)

Publisher: Timberlake Consultants Press
ISBN 0-9533394-5-9
Pages: 265 pages
Price: $45 +p&p

contact us for volume discounts and student prices

The other books distributed with PcGive are

PcGive 11 Volume I
Empirical Econometric Modelling
by and Doornik and J.A.Hendry, D.F. (2006)

PcGive 11 Volume III
Econometric Modelling
by Doornik, J.A. and Hendry, D.F. (2006)

PcGive 11 Volume IV
Interactive Monte Carlo Experimentation in Econometrics Using PcNaive
by Doornik, J.A. and Hendry, D.F. (2006)


About PcGive Software


Contents

Table of Contents
Book Order Form

Table of Contents

Part I: Prologue

1. Introduction to Volume II

1.1 The PcGive system
1.2 Multiple-equation dynamic modelling
1.3 The special features
1.4 Documentation conventions
1.5 Using Volume II
1.6 An overview of PcGive menus
1.7 Citation
1.8 World Wide Web
1.9 Some data sets

Part II: Tutorials on Multiple-Equation Modelling

2. Tutorial Data

2.1 Introduction
2.2 The tutorial data set

3. Tutorial on Unrestricted System Estimation and Evaluation

3.1 Introduction to dynamic systems
3.2 Formulating a system
3.3 Unrestricted variables
3.4 Special variables
3.5 Estimating an unrestricted system
3.6 Graphic analysis and multivariate testing
3.7 System reduction
3.8 Dynamic analysis
3.9 Recursive estimation
3.10 Batch editor
3.11 Forecasting
3.12 Equilibrium-correction representation

4. Tutorial on Cointegration Analysis

4.1 Introduction to cointegration analysis
4.2 Intercepts and linear deterministic trends I
4.3 Unrestricted and restricted variables
4.4 Estimating the vector autoregression
4.5 Cointegration analysis
4.6 Intercepts and linear deterministic trends II
4.7 Recursive eigenvalues
4.8 Cointegration graphics

5. Tutorial on Cointegrated VARs

5.1 Introduction
5.2 Imposing the rank of the cointegration space .
5.3 Intercepts and linear deterministic trends III
5.4 Cointegration restrictions
5.5 Determining unique cointegration relations
5.6 Moving-average impact matrix
5.7 Cointegration graphics
5.8 Addendum: A and H matrices

6. Tutorial on Reduction to I(0)

6.1 Introduction
6.2 A parsimonious VAR
6.3 A restricted system
6.4 Progress

7. Tutorial on Simultaneous Equations Models

7.1 Introduction to dynamic models .
7.2 The cointegrated VAR in I(0) space
7.3 Dynamic analysis and dynamic forecasting
7.4 Modelling the parsimonious VAR
7.5 Maximization control
7.6 How well did we do?

8. Tutorial on Advanced VAR Modelling

8.1 Introduction
8.2 Loading the Lüaut;tkepohl data
8.3 Estimating a VAR
8.4 Dynamic analysis
8.5 Forecasting
8.6 Dynamic simulation and impulse response analysis
8.6.1 Impulse response analysis
8.7 Sequential reduction and information criteria
8.8 Diagnostic checking
8.9 Parameter constancy
8.10 Non-linear parameter constraints

Part III: The Econometrics of Multiple Equation Modelling

9. An Introduction to the Dynamic Econometric Systems
9.1 Summary of Part III
9.2 Introduction
9.3 Economic theoretical formulation
9.4 The statistical system
9.5 System dynamics
9.6 System evaluation
9.7 The impact of I(1) on econometric modelling
9.8 The econometric model and its identification
9.9 Simultaneous equations modelling
9.10 General to specific modelling of systems

10. Some Matrix Algebra

11. Econometric Analysis of the System

11.1 System estimation
11.2 Maximum likelihood estimation
11.3 Recursive estimation
11.4 Unrestricted variables
11.5 Forecasting
11.6 Dynamic analysis
11.7 Test types
11.8 Specification tests
11.9 Mis-specification tests

12. Cointegration Analysis

12.1 Introduction
12.2 Equilibrium correction models
12.3 Estimating the cointegrating rank
12.4 Deterministic terms and restricted variables
12.5 The I(2) analysis .
12.6 Numerically stable estimation
12.7 Recursive estimation .
12.8 Testing restrictions on alpha and beta
12.9 Estimation under general restrictions
12.10 Identification

13. Econometric Analysis of the Simultaneous Equations Model

13.1 The econometric model
13.2 Identification
13.3 The estimator generating equation
13.4 Maximum likelihood estimation
13.4.1 Linear parameters
13.4.2 Non-linear parameters
13.5 Estimators in PcGive
13.6 Recursive estimation
13.7 Computing FIML
13.8 Restricted reduced form
13.9 Unrestricted variables
13.10 Derived statistics
13.11 Progress

14. Numerical Optimization and Numerical Accuracy

14.1 Introduction to numerical optimization
14.2 Maximizing likelihood functions
14.3 Practical optimization
14.4 Numerical accuracy

Part IV: The Statistical Output of Multiple Equation Models

15. Unrestricted System

15.1 Introduction
15.2 System formulation
15.3 System estimation
15.4 System output
15.5 Graphic analysis
15.6 Recursive graphics
15.7 Dynamic analysis
15.8 System testing
15.9 Progress

16. Cointegrated VAR

16.0.1 Cointegration restrictions
16.1 Cointegrated VAR output
16.2 Graphic analysis
16.3 Recursive graphics

17. Simultaneous Euations Model

17.1 Model estimation
17.2 Model output
17.3 Graphic analysis
17.4 Recursive graphics
17.5 Dynamic analysis, forecasting and simulation
17.6 Model testing

Part V Appendices

A1 Algebra and Batch for Multiple Equation Modelling

A1.1 General restrictions
A1.1.1 Restrictions for testing
A1.1.2 Restrictions for estimation
A1.2 PcGive batch language

A2 Numerical Changes From Previous Versions

References
Author Index
Subject Index