The Practice of Econometrics with EViews

April 13-16 2010
Subotnick Financial Services Centre, Zicklin School of Business, Baruch College/CUNY
Information and Technology Building, 151 E. 25th Street. New York, NY 10010, U.S.A.


Contents

Course Description
Course Programme
Request an Enrolment Form Now
Terms and Conditions
About Eviews

Timberlake Consultants Ltd, the UK distributor of EViews, invites you to attend a four-day course in New York , covering the use of econometrics with EViews 6, the well known econometrics software package developed by Quantitative Micro Software (USA).

The Course - Several major advances in time series, forecasting and software engineering have occurred in the past few years. These advances provide a major breakthrough in the modeling of time series using easy-to-use object-oriented Windows based software. The course overviews econometric modeling and uses real-life business and industrial data to show how to interpret and report the results. Participants are welcome to bring their own data.

Who should attend -- The course, given in English, is aimed at forecasters and researchers in

  • Economic Research/ Model Building
  • Financial Modelling/ Arbitrage Trading
  • Quantitative Investment Management
  • Sales and Inventory Forecasting
  • Traffic Modellers
  • Energy Load Forecasting
  • University Instruction
  • and more

Advantages - The course will

  • Review all major econometric modelling methods
  • Provide a practical and systematic approach to the modelling of business and financial time series data
  • Provide hands-on experience in building econometric models - each delegate is provided with a computer throughout the course
  • Provide an opportunity for you to meet with a panel of experienced modellers to discuss industry-specific applications related to forecasting and time series analysis

The Principal Lecturers - The principal lecturers are:

Dr Sean Holly, Director of the Department of Applied Economics and Fellow of Fitzwilliam College , University of Cambridge .

He was formerly Professor of Economics at the University of Sheffield (1991-1996) and Director of Research at the Centre for Economic Forecasting, London Business School (1983-1991). He has published widely on optimal control theory, forecasting, applied econometrics and macro-modelling.

Dr Paul Turner, Professor at the Department of Economics at Loughbrough, having previously been Senior Lecturer in Economics at the University of Sheffield . Previous academic appointments were at the Universities of Southampton and Leeds . His main research interests are in macroeconomics, monetary economics and applied econometrics – particularly in the interaction between the real and the monetary sectors of the economy. His publications include Modern Macroeconomic Analysis (McGraw-Hill, 1993) and papers in a wide variety of academic journals including the Manchester School , Scottish Journal of Political Economy, Economics Letters, Computational Economics and Applied Economics.

His teaching and research interests are in the areas of quantitative macroeconomics. He has published many papers in this area.

Cost - The course fees are

Prices
Subotnick Financial Services Centre MicroTeK
1st Participant
$2800
$2900
2nd Participant
$2500
$2600

The cost includes course materials, course dinner, lunch, refreshments and the use of computers. The number of delegates is restricted. Please register early to guarantee your place. Further instructions will be sent with the joining instructions. If you need assistance in locating hotel accommodation in the area, request the help of our Training Department.


Agenda
(subject to minor changes)

Day 1 - Using EViews for Time Series Forecasting

Session 1: Introduction to EViews

  • Data Entry and Management
  • Seasonal Adjustment of Time Series
  • Modelling a Time Series – the Box-Jenkins Approach
  • Generating and evaluating a forecast

Session 2: Practical Session

  • Fitting a Box-Jenkins model
  • Generating a forecast

Session 3: Stationarity, unit roots and forecasting

  • Testing for unit roots
  • Implications of unit roots for forecasting
  • Unit roots and the spurious regression problem

Session 4: Practical Session

  • Practical testing for unit roots
  • Forecasting with non-stationary data

Day 2 - Regression Analysis Using EViews

Session 1: The Classical Linear Regression Model

  • Methods of Estimation – Least Squares, Maximum Likelihood, Method of Moments
  • Approaches to Testing – Wald, Likelihood Ratio and Lagrange Multiplier
  • Diagnostic Testing Using EViews

Session 2: Practical Session

  • Estimating a Model Using the General to Specific Approach
  • Diagnostic Testing
  • Testing restrictions

Session 3: Cointegration and error-correction

  • Dealing with Cointegrated Variables
  • The Engle-Granger Two Stage Procedure
  • Johansen’s approach to testing for cointegration
  • Cointegration and error-correction models

Session 4: Practical Session

  • Testing for Cointegration
  • Forecasting with an error -correction model

·Day 3 - Specialised Topics

Session 1: Panel Data

  • Fixed and random effects models
  • Unit roots in panel data
  • Cointegration and panel data

Session 2: Practical Session

  • Setting up a panel data model
  • Estimation and interpretation of results with panel data

Session 3: Vector Autoregression Models and Exogeneity

  • The VAR Methodology
  • Granger causality
  • Exogeneity

Session 4: Practical Session

  • Testing for exogeneity
  • Estimation and interpretation of a VAR
  • Using a VAR to generate a forecast

Day 4 - Using EViews for Modelling

Session 1
: Building a Model

  • The Process of Estimating and Setting up a Model Within EViews
  • Dynamic and Static Solutions of a Model
  • Forecasting With a Model
  • A Small Macroeconomic Model of the United States Economy

Session 2: Practical Session

  • Setting up a Model and Generating a Forecast

Session 3: Economic Theory and Econometric Models

  • The Importance of Long Run Theoretical Restrictions
  • The Effects of a Non Unit Income Elasticity of Consumption on Model Simulation Properties
  • Rational Expectations in Macroeconomic Models

Session 4: Practical Session

  • A Policy Game Using the Fair Model of the US Economy

Terms and Conditions

Registration closes 5 calendar days prior to the start of the course.

Cancellations:

  • full fee returned for cancellations made over 28 calendar days prior to start of the course
  • half-fee returned for cancellations made 14 calendar days prior to he start of the course
  • no fee returned for cancellations made less than 14 calendar days prior to the start of the course.

    Payment of course fees required prior to the course start date