Structural econometric modelling: Methodology and tools with applications under EViews

EViews features a powerful economic modeling engine that allows ananlysis and forecasting of the relationships between sets of variables.

Structural econometric modelling: Methodology and tools with applications under EViews, by Jean-Louis Brillet, describes how to use the model object in EViews to solve structural economic models. Not only does the book provide step by step examples of using EViews for modelling, it also provides a easy to follow descriptions of economic modelling theory and its applications.

This book is now updated for EViews 10!

Jean Louis Brillet has spent his entire career at the French National Institute for Statistics and Economic Studies. Starting as a computer specialist in econometric modeling, he moved naturally to the Modelling Department, as head of the forecasting unit, then to the International Department, implementing models in various countries.

In recent years, Jean-Louis has formalized his experience in structural modeling into a coherent strategy, both global and detailed, for the production of operational models using the EViews software.

For those interested in exploring the material contained in the book further, Jean Louis offers a class on modelling in EViews. Click here for more details.

You may download the full version of his book in PDF form here:
Structural Modelling Under EViews (PDF, 5MB / right-click to save)

A version in French is also available

Jean Louis has also provided a set of companion files containing examples of models and programs. These files are contained in zipped form here:
Example files (PDF, 3MB / right-click to save)

A description of the files may be found here:
List of files (PDF, 400KB / right-click to save)

Book Contents

Chapter 1	Notations And Definitions
	The Model As A Set Of Equations The Elements In A Model Variables: Endogenous And Exogenous Equations: Behavioral And Identities Parameters The Random Term Residuals Versus Errors Formulations The Time Dimension Linearity Other Properties Constraints The Model Must Meet Normalization And Identification
Chapter 2	Model Applications
	Operational Diagnoses Different Types Of Diagnoses: Scenarios And Shocks Advantages Of Models A Certain Reassessing Theoretical Models Quantified Small Models With Scientific Purpose With An Educational Purpose
Chapter 3	Model Types
	The Field The Size Determinants Of The Size A Classification The Horizon For Forecasting For Model Analysis A Classification The Periodicity Other Models
Chapter 4	General Elements
	The Stages In The Process Preparing The Model Estimation Solving And Testing Over The Past Solving And Testing Over The Future Using The Model For Forecasts And Policy Studies How To Organize The Development Of The Model
Chapter 5	Preparing The Model
	Preparing The Model: The Framework Preparing The Model: Specific Data Issues Types Of Data The Access To Data Preparing The Data For The Transfer The Preliminary Processing Of Series Updates Suppressions The Documentation Consequences On Work Organization The Practical Options Back To Our Example Application To Our Example The EViews Program A First Test: Checking The Residuals In The Identities Using Loops And Groups In EViews Groups Loops
Chapter 6	The Estimation Of Equations
	The Process Of Estimation Specifc Issues The R2 or R-Squared The Constant Term Applications: Our Model Changes In Inventories Investment: The Necessity To Establish A Consistent Theoretical Equation Prior To Estimation Employment: Stationarity, Error Correction Models, Breakpoint Test Exports: Autoregressive Process, Cointegration, Long Term Stability Imports: Going Further On Cointegration And Long Term Stability Back To The Residual Check The Present Model
Chapter 7	Testing The Model Through Simulations Over The Past
	The Solution Gauss-Seidel Ritz-Jordan Newton And Its Variants Iterations And Test Of Convergence Study Of The Convergence Solving The Model: Basic EViews Techniques A First Validation Ex-Post Simulations Ex-Post Forecasts Solving The Model: Scenarios Overriding Through Menus Our Example Analytic Shocks
Chapter 8	Testing The Model Over The Future
	Making The Model Converge In The Long Run The Assumptions Adapting The Fomulations Improving The Change (And Speed) Of Convergence Solving Partial Models Checking The Existence Of A Long Term Solution Convergence Problems In The Short Run Convergence Problems In The Medium Run Testing The Results Of Simulations Of Shocks EViews Features Producing Simulations Producing A Base Solution Producing Shocks Changing Model Specifications Rational Expectations The Framework Consequences For Model Simulations Technical Elements Our Example The Test The Results Stochastic Simulations Purely Statistical Errors Formulation And Assumption Errors Considering The Errors The Interest Of The Technique Back To Our Example The Results Going Further: Studying Model Properties Eigenvalue Analysis The Case Of Error Correction Models: A Simple Example
Chapter 9	Using Models
	Operational Diagnoses Scenarios And Their Different Types Managing Actual Forecasts: Managing The Residuals Managing Actual Forecasts: The Targeting Of Simulations Different Types Of Shocks The Forecast: Technical Aspects Changing Model Specifications Optimal Control Teaching With Models Presentation Of Results General Issues Tables Graphs
Chapter 10	Applying The Above Principles To Operational Cases
	The Accounting Framework The Agents: A First Definition The Operations The Integrated Economic Accounts Sectors, Branches and Products Agents Subdivisions A Multi Country Model A Single Country, Single Product Model The Economic Aspects The EViews Programs A Single Country, Multi Product Model The Main Reasons For Product Decomposition Introducing Intermediate Consumption Specifc Sectoral Issues The Data Consequences For Estimations The Production Function Unemployment Changes In Inventories Household Consumption External Trade Wages Prices A Multi Country, Single Product Model First Issue: The Models Second Issue: Inter-Country Trade A Consistent Method: MacSim The EViews Program A Regional Model A Multi Country, Multi Product Model The EViews Program

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