Lecture 0- Organization session

1. ECON 6002 Econometrics I Memorial University of Newfoundland • Lecture 0-Organization session Lecture 0

2. INTRODUCTION • The prof • The students • The material • The textbooks • The aids • The way to do it right! • The grading Lecture 0

3. The Prof • Rober Martinez-Espineira • “Rober” • email: rmartinezesp@mun.ca • AA 3087 • E-mail only from your MUN account!!! Lecture 0

4. The Prof • Office hours (posted on-line and on my office door): • MON 12-1 • TUE 2:30-3:30 • WED 12-1 • THU 2:30-3:30 Lecture 0

5. The students • Names? • Why are you here? • What are you going to do next? • Who took any Stats or Math Econ? • When did you take Econometrics last? Where? Lecture 0

6. The objectives • To enhance your analytical and intellectual skills through the study of Econometrics • To strengthen the knowledge of Econometrics you gained in previous Econometrics modules • To develop your capacity for self-motivated learning and problem solving through the application of theoretical approaches to .real world-like problems • To equip you for further study in Economics and/or employment in related fields Lecture 0

7. The objectives • understand the theory of econometric estimation and inference at a level enough to support practical empirical research at the masters level • apply empirical econometric techniques, interpret, and present the resulting econometric output obtained using computer software on real data • design and implement your own econometric study (in coordination with the Seminar) • interpret the results of applying econometric models in the technical literature Lecture 0

8. The textbooks • Main texts: • Greene,W.H. Econometric Analysis, Sixth Edition, Pearson/Prentice Hall, 2008 • Kennedy, P. A Guide to Econometrics, Sixth Edition John Wiley & Sons, 2008 Lecture 0

9. The textbooks • Other books you may want to consult: • Baum, C. An Introduction to Modern Econometrics Using Stata, Stata Press 2006 • Jeffrey M. Wooldridge Introductory Econometrics: A Modern Approach, 4th Edition, South-Western, 2009 Lecture 0

10. The textbooks • Other books you may want to consult: • Stock, J.H and M. W. Watson Introduction to Econometrics, 2nd ed. Addison-Wesley, 2006 • Hill, R. Carter, Griffths, William E. and Lim, Guay C. Principles of Econometrics 3rd ed. John Wiley & Sons, 2008 Lecture 0

11. The textbooks • More advanced and specialized books • Long, S. and J. Freese Regression Models for Categorical Dependent Variables Using Stata, 2nd Edition Stata Press, 2006 • Badi H. Baltagi Econometric Analysis of Panel Data, 4th Edition, Wiley, 2008 • Woodridge, J. Econometric Analysis of Cross Section and Panel Data MIT Press, 2002 Lecture 0

12. The textbooks • More advanced and specialized books • James W. Hardin, Joseph M. Hilbe Generalized Linear Models and Extensions, 2nd Edition Stata Press, 2006 • A. Colin Cameron, Pravin K. Trivedi Regression Analysis of Count Data Cambridge University Press, 1998 Lecture 0

13. The textbooks • More advanced and specialized books • John P. Hoffmann Generalized Linear Models: An Applied Approach Pearson, 2004 • Cheng Hsiao Analysis of Panel Data, 2nd Edition Cambridge University Press, 2003 Lecture 0

14. The textbooks • Most of these books should be available through the library Lecture 0

15. The aids • course outline and online course schedule • PowerPoint presentations online • Home assignments Lecture 0

16. The aids • Check your e-mails and website frequently • We will be working little by little but continuously • There will be frequent assignments Lecture 0

17. The aids • We will use STATA 11 to work with empirical data • It will be available through your LABNET accounts • Make sure you get one! Lecture 0

18. The aids • We will use STATA to demonstrate procedures in class • We will reproduce examples in the book and some additional ones • There will be practical assignments for you Lecture 0

19. The way to get it right • Reading the chapters before coming to class • Taking useful notes in class or annotating over the printouts from my website • Going back to the book and the exercises after the class • Coming to see me to solve doubts • Doing the home assignments Lecture 0

20. The way to get it right • There is no way to pass this on swoting • Trying to catch up on the last two weeks is not going to work • The way to understanding the material is by doing the stuff as we learn it • Ask me if you need help! Lecture 0

21. The way to get it right • Brush up your Math! • We will not be using a lot of Math, but a little reviewing will help! • We will start with a review of some basic Math • Use the Math appendices in the books too Lecture 0

22. The grading system • Final exam (20%) • Two quizzes (20%): Your worst quiz will be 5% and the best quiz will be 15% • Home assignments (30%) • Project+presentation (30%) 15 minutes presentation during last week of classes. Proposal to be submitted during Wk 4 Lecture 0

23. The grading system • Final exam (20%) • Two quizzes (20%): Your worst quiz will be 5% and the best quiz will be 15% • If you miss a quiz the weight will be reallocated to the final exam: there will be no rescheduling Lecture 0

24. The grading system • If you miss a quiz the weight will be reallocated to the final exam: there will be no rescheduling • This does not mean that you can simply skip it: coming to class and completing your assignments is compulsory!!! • See the “doctor notes policy” Lecture 0

25. Questions? • Any questions? • Any suggestions? • Any complaints? Lecture 0

26. NEXT • Mathematical and Statistical Reviews (see relevant Appendices in Greene and/or Kennedy) • Review of what Econometrics is all about • Look also at Ch. 1 in Hill et al. 2008 and/or Kennedy 2008 Lecture 0