Recommended Text Book for Self reading
Gradesheet Till August 01, 2018 after first hourly
Gradesheet till Aug 5, 2018
Gradesheet till Aug 11, 2018 (till Quiz 3 and Quiz 4) HW2 and hourly 2 will be added soon (linked removed due to some technical error)
Gradesheet till Aug 17, 2018 (before Final and Project)
Gradesheet with Final Exam Score without CSR n Project
Gradesheet - Finalized (except withheld cases)
Week 1 (Session 1 and 2)
Topics:
Intro to Research, Econometric, Applied versus Theoretical,
Application of econometric in Economic, Finance and Management
HEC recognized Journal Classification
FT 50 Journal and ISI Indexed Journals
Predatory Journals
Introduction to Data Structure for Econometrics - Sample data files for stock prices; Bank ratios panel data in long form
Introduction to Econometric - detailed
Introduction to Econometrics Software i.e. E-views / STATA
Report Instructions:
For MS/Phd: Sample report; It must be done in group of Two Only, however, If any one want to do it alone it will be encouraged!
For MBAs:
Till Week 1 (Session 1 & 2): Will be updated soon after feedback of second session;
In Week 2 (Session 3 & 4):
Group Option; Students going for Group Option have to make a research report similar to above MS/Phd Sample. Note Max. Student in Group must not be greater than 4 in any case and They have to go for Full report (eg including section 1 to 4)
Individual Option: If any student want to go for Individual Option he/she may have to complete section 3 and 4 of Sample Report only.
Note: First Assignment is directly related with the Project Report Finalization and help you to finalize topic and variables etc.
for 2nd Week (Session 3-4)
Prereading material who have not studied Inferential stats or want to refresh some of statistics concept required for econometrics
Reading Reference material - Correlation and Regression
Note: Scheduled Guest Speaker Session was not finalized due to some operational formalities of KASBIT, so Guest Speaker Session Whenever approved by KASBIT
Guest Speaker Profile:
Adnan Hussain;
Phd Scholar, Department of Economics,University of Karachi,
Thesis Supervisor: Dr. Muhammad Nishat, Associate Dean of Economics and Finance, IBA, Karachi
Currently, HOD of Economics, BBSUL, Karachi and Visiting Faculty of Econometric @ MAJU/PAFKIET
See his googlescholar profile
More than 20 publication out of which 6 in HEC recognized Journals.
Session 3:
Introduction to Simple Regression and Multiple Regression
Concept of Significance, Beta Coefficient of Independent Variables, Their Standard Errors, T- Statistics, P Values, R Square
Introduction of Data Analysis Adds In of Excel for Regression, and Introduction to Eviews Interface
Class solved Examples of Excel data file and regression output
Note: It was observed that due to many queries by MBA Students (due to non coverage of pre-requisite courses), the advance research oriented content was not covered in 3rd session especially this is a sort of loss for MS Students, for this, I am providing extra reading material (in advance) to MS students which is research oriented and will help in basic understanding of applied econometrics and now onward I will assigned research papers in advance to discuss their interpretation in class. MBA Students who are more interested in finalizing their research report in advance may refer it. It will not only help in writing research methodology and analysis in research report but also some of the direct questions of exam. Remember, this extra reading material is NOT ONLY for Week 2 or Session 3 but for Full Course Outline
Session 4:
Software E-Views 9 link ( just bring this win.Rar file in your laptop after unzipping it, do not install if you are not Tech Savy)
Sample Data files Excel: demo, wagedata,
Sample Data files Eviews: demo, international finance, basics, macroeconomics,
Pakistan Stock Exchange Data: Daily prices from 1999 to July 2017 along with index, riskfree and industry classes
How to Input Data in Eviews, All type of Data, Cross Section, Time Series & Panel,
How to get basic Descriptive output of Data and REgression (Simple/Multiple) from Eviews
Interpretation of Regression output of Eviews
Example Sample Papers to discuss regression output
2. Dividend determinant industrywise
3. Impact of accounting info. on SP
4. Impact of training on performance
5. class attendance on GPA actual link
Session 5:
Lab Session for hands on Practice; WCM Data 293 firms nonfinancial from KSEall
Getting Regression output;
Null and Alternative Hypothesis of Beta Co-efficient of Simple and Multiple Regressions
Multicollinearity; consequences, how to detect and remedies
Transformation of Variables to reduce Multi-collinearity
Class solved Material - eviews file of wcm
Session 6:
Heteroscedasticity: consequences, how to detect and remedies
Eviews- Graphical Method for Hetero, Park Test, White Test;
Null and Alternative Hypothesis for Heter
Quiz 1 and Quiz 2
Session 7:
Project discussion (9-9:30)
Hetero: Review + remedies (Weighted Least Square)
Autocorrelation: (positive and negative autocorrelation)
consequences, how to detect and remedies (Generalized Least Square)
class solved example int_finance
Note:
There will be a Quiz in Session 5 whenever it will be held and be ready for your first Assignment to be submitted in the 7th or 8th session. (will be updated)
Instruction of Assignment # 1:
(Must for MS) Preferable for MBAs
Finalize your Variable of Research Report along with source of data,
Write Econometric Model, Define your Variables, Discuss your Sampling Framework criteria to be used in your analysis.
For MBAs (if above is not finalize by you till now)
You will be provided Dummy data file here, with given Y and given X variables
YOu need to apply Simple REgression as well as Multiple Regression on your own intuition
Do interpret Co-efficients and their significance for your selected econometric Model.
Session 8:
Today Guest Speaker Session with Dummy Variables and Time Series Econometric(if possible)
Guest Speaker Profile:
Adnan Hussain;
Phd Scholar, Department of Economics,University of Karachi,
Thesis Supervisor: Dr. Muhammad Nishat, Associate Dean of Economics and Finance, IBA, Karachi
Currently, HOD of Economics, BBSUL, Karachi and Visiting Faculty of Econometric @ MAJU/PAFKIET
See his googlescholar profile
More than 20 publication out of which 6 in HEC recognized Journals.
Topics Covered in Guest Speaker Session
Dummy Variable concept; Dummy with and without intercept; Concept of Dummy Trap;
Intercept Dummy and Slope Dummy along with their graphical Interpretation
Application of Slope and Intercept Dummy within Time perspective (Political; Democratic versus Military Regime)
Eviews Application of above mentioned concept with datasets of Gujrati Book
Session 9:
Application of Intercept and Slope Dummy (from on going research)
Review for First Hourly
First Hourly Exam
Session 10: Lab Session
Lab Practice File of Dummy ; Slope n Intercept
Guest Speaker: Adnan Hussain
Advanced Time Series Topics
Unit Root Test; Random Walk Model;
Autoregressive Model; Moving Average Model; ARMA Model
Eviews Application of Unit Root Test
Session 11:
If Unit Root in Data
When OLS is applicable
When OLS is not Applicable: (ARDL / Johnson Co-Integration or ARMA Model)
Johnson Co-Integration Technique as Long Run Equilibrium
Vector Error Correction Model as Short Run Equilibrium
Eviews Application
Session 12:
HW1 and Hourly 1 Discussion (9-9:45)
Quiz 3 and Quiz 4 (9:45-10:15)
Granger Causality Test and its Eviews Application
Homework Assignment 2 Submission
Hard Deadline: Friday Aug 10, 2018
Situation 1: (for student who scored more than 75% in Homework Assignment 1)
Option A: Finalize chapter 1 (Introduction) and Chapter 2 (Literature Review) of your research project report (see sample report) to submit on Friday
Option B: Students can submit application of all learnt techniques till now on any of provided data as their 2nd Assignment (This choice will left you to work on project completion separately. Remember in the Final Research Project report, your work/submission should be similar to sample research report; provided earlier, irrespective of your option selected for Homework Assignment 2)
Situation 2: (for student who were not able to score good in Homework Assignment 1 either individual/group)
for Group: Improve your First Assignment along with all the latest techniques of Time Series taught after First Assignment Submission (you can use any of given/provided data) Note: You have to apply proper diagnostic test too. This will left you to work separately on project too.
For Individual: Finalize chapter 3 and 4 of your project (sample project report is shared above) in the light of individual discussion in class.
Situation 3: (Sir we are not able to understand whats going on in class with respect to Assignment/Project Report, as we were not regular and we are not following up the course page)
Best of Luck if you can manage to pass on the basis of Quiz, Hourly and Final Exams :)
Remember: Marks of Homework 3 will be same as Project Report
Session 13:
(Due to an unexpected meeting, I might be late, will be in class till 6:45 to 7:15 approx, so I have request Adnan Hussain Sb so that our Teaching time should not be affected)
Guest Speaker Session - Adnan Hussain
Panel Econometric - Introduction
Pooled OLS, Fixed Effect Model & Random Effect Model
I will be joining around 7 approx.
Assignment Submission will be done in 2nd Session after 8:30
Session 14:
Review of Panel Econometric and Review for Hourly 2 as well as Final Exam
Hourly Exam 2
Announcement for Final Exam Format
Due to KASBIT policy of no choice in Final Exam Paper, now
Final Paper has been as per following format
20 Objectives of 0.5 marks each (Max. 10 Marks) attempt all
10 SQs of 3 marks each (Max. 30 Marks) attempt all
as choices has been eliminated but nature and depth of the question will be as per 1st and 2nd hourly