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

Slides:



Advertisements
Similar presentations
Econometrics Session 1 – Introduction Amine Ouazad, Asst. Prof. of Economics.
Advertisements

Applied Econometrics 1 Vincent Hogan
Computer Graphics and Animation (AT70.09) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology.
Introduction to Financial Management. Overview of Financial Management Introduction Keys to Success Stay up in class (complete assignments on time each.
Economics 1 Principles of Microeconomics Instructor: Ted Bergstrom.
CS 331 / CMPE 334 – Intro to AI CS 531 / CMPE AI Course Outline.
Summer 2009 Math 1431 and Math 1432 begin. What to do… Watch the orientation video from the spring online classes. Please note that the spring classes.
Topic 1: Class Logistics. Outline Class Web site Class policies Overview References Software Background Reading.
Math 0300 Course Structure Requirements Study Plan/Workflow, MyMathLab Teaching Information & Resources.
9/5/2015 Spring Introduction to Engineering 161 Engineering Practices II Joe Mixsell Phone:
CS 450 MODELING AND SIMULATION Instructor: Dr. Xenia Mountrouidou (Dr. X)
Math 125 Statistics. About me  Nedjla Ougouag, PhD  Office: Room 702H  Ph: (312)   Homepage:
CS 103 Discrete Structures Lecture 01 Introduction to the Course
Syllabus and Class Policies MATH 130: Summer 2014.
General Physics1 Welcome to Phys 130! Blackboard blackboard.siena.edu.
Administrative Issues ICS 151 Winter 2010 Instructor: Eli Bozorgzadeh.
ECEN 301Discussion #1 – Syllabus1 All Sections MWF 1:00 – 1:50 PM 256 CB Lecture: MW Recitation: F Labs: M or Th Instructor: Prof. David Long Office: CB.
Applied Econometrics 1 Vincent Hogan
Welcome to Physics 1D03.
Research and Writing Seminar Thursday, – 16 35, room C To find an up-to-date version of the schedule and to read the papers check the website
Chapter 0 Organization session ECON 4120 Applied Welfare Econ & Cost Benefit Analysis Memorial University of Newfoundland.
Part 0 -- Introduction Statistical Inference and Regression Analysis: Stat-GB , C Professor William Greene Stern School of Business IOMS.
An Interdisciplinary Approach in Statistics Courses for Biology Students Ramon Gomez Senior Instructor Dept. of Math & Statistics Florida International.
[CS-225: Software Engineering] Course Guide Fatima Khan Prince Sultan University, College for Women.
Lecture 0slide 1 Lecture 0-Organization session ECON 4550 Econometrics I Memorial University of Newfoundland.
IT Semester 1 Course Introduction IT Portfolio IT 1140 ( Semester 1) Hong Kong Baptist University IT 1140 – IT Portfolio – Course Introduction.
Lecture Section 001 Spring 2008 Mike O’Dell CSE 1301 Computer Literacy.
Quantitative Methods in Geography Geography 391. Introductions and Questions What (and when) was the last math class you had? Have you had statistics.
King Saud UniversityCSC112 - First Semester CSC 112 Java Programming I Introduction.
CIS 842: Specification and Verification of Reactive Systems Lecture ADM: Course Administration Copyright , Matt Dwyer, John Hatcliff, Robby. The.
CGMB324: MULTIMEDIA SYSTEM DESIGN
BIOL 242: Human Anatomy and Physiology II Instructor: Joel Dahms.
Principles of Econometrics University of Oulu Department of Economics Marko Korhonen.
CS 345 – Software Engineering Nancy Harris ISAT/CS 217
1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site:
SYSC System Analysis and Design 1 Part I – Introduction.
Physics 1B3-summer Lecture 11 Welcome to Physics 1B03 !
Statistics Fall Introduction2 Wed, Aug 22, 2007 Introduction Dr. Robb T. Koether Office: Bagby 114 Office phone: Home phone: (before.
ECON3670 Meeting session1 Memorial University of Newfoundland ECON 3670 Applications of Choice Theory Roberto Martinez-Espineira Lecture 0 - Meeting session.
CPE542: Pattern Recognition Course Introduction Dr. Gheith Abandah د. غيث علي عبندة.
CPE433: Performance Evaluation and Modeling Introduction Dr. Gheith Abandah د. غيث علي عبندة.
King Saud University1 CSC 112 Java Programming I Introduction.
James Tam Introduction To CPSC 233 James Tam Java Object-Orientation Event driven software.
James Tam Introduction To CPSC 233 James Tam Java Object-Orientation Graphical-user interfaces.
INTRODUCTION: WELCOME TO STAT 200 January 5 th, 2009.
Lecture 1 Introduction to econometrics
FACILITIES PLANNING ISE310L SESSION 1 INTRODUCTION, January 11, 2016 Geza P. Bottlik Page 1 OUTLINE Introduce instructor Homework Take roll Grades Go over.
Rober Martinez-Espineira Economics Introduction.
Course Overview: Linear Algebra
Statistics Spring Introduction Dr. Robb T. Koether Office: Bagby 114 Office phone: Home phone: (before 11:00 p.m.) Office hours:
Statistics Spring Introduction2 Wed, Aug 22, 2007 Introduction Dr. Robb T. Koether Office: Bagby 114 Office phone: Home phone:
REMINDER: If you haven’t yet passed the Gateway Quiz, make sure you take it this week! (You can find more practice quizzes online in the Gateway Info menu.
Welcome to Online Statistics! - Course Resources: - This course is located on Canvas and MyLab. - Canvas contains resources for study (see Modules), Assignments,
GE 306Dr SaMeH1 Engineering Report Writing (GE 306) Associate Professor of Environmental Eng. Civil Engineering Department Engineering College Almajma’ah.
Syllabus and Class Policies MATH 130: Summer 2016.
Economics 175 American Economic History
Subhorn Khonthapagdee (TA)
APPLIED MANAGEMENT SCIENCE IN AGRICULTURAL SYSTEMS I
ECON 6012 Cost Benefit Analysis Memorial University of Newfoundland
CPE741: Distributed Systems Course Introduction
CSC215 Lecture Orientation.
Send the professor (This is also listed in the syllabus)
Artificial Intelligence (CS 461D)
ECE 751: Embedded Computing Systems Prof
Welcome to Physics 1D03.
Introduction to Neural Networks and Fuzzy Logic
Nonlinear Dynamic Control Systems
Welcome to Physics 1D03 !.
Orientation CSC 111.
Syllabus and Class Policies
Presentation transcript:

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

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

Lecture 0slide 3 The Prof Rober Martinez-Espineira “Rober” AA only from your MUN account!!!

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

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

Lecture 0slide 16 The aids Check your s and website frequently We will be working little by little but continuously There will be frequent assignments

Lecture 0slide 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 0slide 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 0slide 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 0slide 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 0slide 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 0slide 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 0slide 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 0slide 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 0slide 25 Questions? Any questions? Any suggestions? Any complaints?

Lecture 0slide 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 and/or Kennedy 2008