Econometrics workshop

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Time: 10.00am - 5.00pm
Venue: Room 335, Kingston Business School, Kingston Hill campus, Kingston Hill, Kingston upon Thames, Surrey KT2 7LB
Price: £50
Speaker(s): Prof. Christos Agiakloglou (Department of Economics, University of Piraeus)

Please note: this two day workshop is free for all Kingston students and staff.

This workshop is intended to introduce participants to the analytical framework of econometrics, the branch of economics that deals with estimation and evaluation of theoretical issues. The focus will be on time series data, even though some attention will be also devoted to cross section data. We will present the models and the techniques and we will emphasize applications through several examples.  The objective of this workshop is to cover a wide range of econometrics topics, so that the tools that participants will learn in this series of lectures will allow them to obtain a deeper understanding of how to analyze economic and financial data and how to derive policy conclusions.

The first lecture covers issues in econometrics. In particular, we examine how econometrics works especially with time series data. The concept of stationarity will be introduced in terms of a balanced regression model. We then focus on the estimation of a linear model and discuss the goal of the regression analysis. Emphasis will be given on the autocorrelation problem and how this problem is related to spurious behaviors and ARCH models. Some attention will also be given to GLS method, misspecification errors and instrumental variables.

The second lecture discusses distributed lags models; models that can be used to determine short run and long run behaviors. An application to the expectations theory will also be presented. We then analyse the concept of a unit autoregressive root as it can be seen on an AR(1) model versus a random walk model. Focus will also be given to trend stationary and difference stationary models as well as to elasticity. Finally, the concept of cointegration will also be analysed along with the Granger causality technique.

Lunch and refreshments will be provided.

For those visiting from outside of the University

If you require accommodation for the event, please view this list of local hotel and guest houses.

Payment for the event will be taken on the day. Please complete the booking form to confirm your attendance.

Useful resources

The following is a list of useful sources on econometrics: 

• Box, G. E. P. and G. M. Jenkins, Time Series Analysis Forecasting and Control, Holden-Day, Oakland, 1976.
• Enders, W., Applied Econometric Time Series, John Wiley & Sons, Inc., New York, 1995. 
  Fuller, W. A., Introduction to Statistical Time Series, Second Edition, John Wiley & Sons, Inc., New York, 1996.
• Granger, C. W. J. and Newbold, P., Forecasting Economic Time Series, Second Edition, Academic Press, Inc., San Diego, 1986.
• Greene, W. H., Econometric Analysis, Prentice Hall, 2003.
• Hamilton, J. D., Time Series Analysis, Princeton University Press, Princeton, 1994.
• Johnston, J. and Dinardo, J., Econometric Methods, McGraw Hill, 1997. 
• Maddala, G. S. and In-Moo Kim, Unit Roots, Cointegration, and Structural Change, Cambridge University Press, Cambridge, 1998.
• Mills, T. and Markellos R., The Econometric Modeling of Financial Time Series, Third Edition, Cambridge University Press, 2008. 
• Pindyck, S. R. and Rubinfeld, L. D., Econometric Models and Economic Forecasts, McGraw Hill, 1998. 
• Watsham, J. T. and Parramore, K., Quantitative Methods in Finance, International Thomson Business Press, 1997.

For further information about this event:

Contact: George Saridakis
Tel: 020 8417 5347
Email: g.saridakis@kingston.ac.uk