Teaching & Research
Practice Based Teaching Style and Research Mentorship
Our Teaching Modules and Courses
Teaching Modules and Intro
Quantitative Analysis is research intensive and high level course in Statistics offered to graduate students of MS (MS) and MS(PM) during their second semester in COMSATS Attock Campus. The course to equip the students with advanced level contents in Methods, Evaluation & Developing Advanced Research Skills and Application of the Advanced Quantitative Analysis. The course follows intensively tools and techniques from inferential statistics to address variety of research problems using real world data and preparing publishing quality research articles. The course is specifically designed to enrich the understanding of students in how to develop a plan for selecting a real world research question, chose the appropriate sampling strategy, adopt a specific statistical approach, evaluate the question using the relevant statistical data through a sophisticated statistical softwares like Stata or SPSS, and interpret the results in formal academic styles of writing articles, theses and reports. This course also aims to raise the technical skills of students to next levels about data collection strategies, data analysis approaches, writing and presenting the results for academic and professional audience. Moreover, the course will use Stata, SPSS and SmartPLS/WarpPLS for all practical data analysis of each topic where needed.
Profile of Course Instructor
Muhammad Anees, Assistant Professor
Frequencly Asked Questions
No. Not at all.
All course projects and assignments should be submitted will before the due date. Marks for assignment will be 0 if submitted after the due date. You should also need to know that no proxy, make up and repeat submission will be allowed as per examination rules for Spring 2017. For further details, please check with your programme coordinator or examination office.
As per policy of the examination, marks obtained in all assignments will be converted to 10% as weight out of 100% for your course. The number of assignments does not matter but there will be minimum 4/6 assignments as per requirements of the programme.
Quizzes are proposed to have 15% weight in the 100% marks of the course. Minimum number of quizzes during the semester is expected to be 4 to 6.
Yes. You should make sure your document has a file name which contains your name, date of submission and assignment number. Any assignment or file submitted without these three components in the name of the file will not be marked. Also, you should make sure there is no copy-paste or plagiarism from sources. All information you cite should following standard rules for citation, like APA, MLA and Harvard Style. Also, you should follow consistent styling for citation and no two styles should be merged in one document.
Yes. You are most welcome to discuss your academic and personal issues affecting your learning with the course instructor. He will be happy to see you in his office during the following office hours:
Tuesday: 1300 to 1500
Wednesday 1300 to 1500
Friday: 1500 to 1630 (MPA Preferred)
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Blogs & Video Tutorials
- An Economist
- Asymmetric Causality
- Causality Tests
- Data Analysis
- data types
- Econometrics Softwares
- event analysis
- event study
- Multivariate GARCH DCC
- R programming
- Unit Root Test
In this tutorial on Cointegration Test Including Multiple Breaks Using GAUSS, we will show usng GUASS how to estimate cointegration tests with multiple breaks. Abdulnasser Hatemi-J has written an excellent paper titled: Tests for cointegration with two unknown regime shifts with an application to financial market integration which describes the methodology of Cointegration Test Including Multiple […]
Running Regression Model using Ratio dependent variable in Stata is possible through the code –betareg– which allows us to have estimates the parameters of a beta regression model. This model accommodates dependent variables that are greater than 0 and less than 1, such as rates, proportions, and fractional data. Most of the times, using softwares […]
In this video tutorial, we present a simple tutorial on how to run Asymmetric Causality using Cause. The Asymmetric Causality Gauss Video has not been recorded so far anywhere so we thank to Scott Hacker and Abdulnasser Hatemi who has published their code on Ideas platform here: https://ideas.repec.org/c/boc/bocode/g00012.html and fmwww.bc.edu here: fmwww.bc.edu/repec/bocode/h/HHcte.prg. The program performs a […]
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