Advanced Econometric Analysis using Panel Data with Prof. Jeffrey Wooldridge

Date/Time
Date(s) - 16/05/2018 - 17/05/2018 All Day

Location
Durham university Business School

Audience:
Doctoral Students, Early Career Researchers

The aim of the workshop is to introduce participants to main assumptions and linear panel data models with particular reference to Pooled OLS, random- and fixed-effects estimation; how to use advanced Panel data methods and tools to estimate parameters, compute partial effects of interest in nonlinear models, quantify dynamic linkages, and perform valid inference; how to develop estimators with good properties under reasonable assumptions and to ensure that statistical inference is valid; during practical sessions, participants will go through several econometric examples which focus on estimation and interpretation of various panel-data models using Stata.

Jeffrey M. Wooldridge is a University Distinguished Professor of Economics at Michigan State University, US. His main research areas of interest include Econometrics, Panel Data Models, Control Function Methods and Economics of Education. He is known for his theoretical contributions to cross-sectional and panel data analysis and has published several books that are very widely used in academia such as Econometric Analysis of Cross Section and Panel Data and Introductory Econometrics: A Modern Approach. He has many publications in prestigious academic journals including American Economic Review, Econometrica, Journal of Econometrics, Econometric Theory, Journal of Economic Literature, Journal of Business and Economic Statistics, Review of Economics and Statistics, Journal of Economic Perspectives, Journal of Applied Econometrics, Journal of Human Resources, Economics Letters and Journal of Policy Analysis and Management. Also, he served in many editorial boards such as Journal of Business and Economic Statistics (Editor), Journal of Econometric Methods (Co-Editor), Econometric Theory (Co-Editor), Economics Letters (Co-Editor) among many others.

Ahmed Elsayed BSc, MA, PhD, PGCAP, is Assistant Professor in Economics in the Economic and Finance Department at Durham University Business School, UK. In addition, He is a Senior Fellow of the Higher Education Academy and a member of Institute for Middle Eastern and Islamic Studies. His main research interests focus on quantitative modeling and empirical analyses in the field of economics and finance including; financial development and regulations in LDCs, monetary and financial economics, volatility transmission in financial markets and Islamic banking and finance.

Programme

Day 1: Linear Panel Data Models

10.00-10.30 Registration and refreshments<

10.30-12.30 OLS, Random Effects, Fixed Effects, and First Differencing

12.30-13.00 Lunch

13.00-14.15 Practical Work

14:15-14:30 Coffee

14.30-15:45 Instrumental Variables Estimation

15:45-17:00 Practical Work<

Day 2: Nonlinear Models

09.45-10.00 Registration and refreshments

10.00-12.00 Dynamic Models

12.00-12.30 Lunch

12.30-14.00 Practical Work

14:00-14:15 Coffee

14.15-15:30 Random Trends and Random Coefficients

15:30-17:00 Practical Work<