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Eligibility Criteria for Ph.D Econometrics

Applicant having M.Phil (Mathematics/Statistics/Economics/Econometrics/Computer Science/Economics and Finance) or a relevant degree with at least 3 CGPA (First Division) from a recognized institution will be eligible to apply for admission.

Applicants will be selected on the basis of their performance in the admission test, interview, academic record, research publications, letters of recommendation and statement of purpose.
Students without relevant background need to take additional courses (non-credit) to makeup the deficiency.
The in-service applicants will be required to submit the No Objection Certificate issued by their employers before the beginning of the academic session.

Academic Program

Total Credit Hours: 18

Course Work: 18

Duration: 3 Years

Total Courses: 6

Core Courses: 3(First semester 2, Second Semester 1)

Elective Courses: 3(First semester 1, Second Semester 2)


Course Work Structure Semester Wise

1st Semester (Fall)

2nd Semester (Spring)

ETS-840 Micro Econometrics (3 credit hours)

ETS-771 Topics in Advance Econometrics

(3 credit hours)

ETS-841 Macro Econometrics(3 credit hours)

Elective II(3 credit hours)

Elective I(3 credit hours)

 Elective III(3 credit hours)

9 Credits

9 Credits

Deficiency Courses

  1. The students not having M.Phil. in Econometrics from PIDE shall have to qualify in the following deficiency courses
  2. ETS-600 Microeconomic Theory (3 credit hours)
  3. ETS-610 Macroeconomic Theory (3 credit hours)
  • ETS-620 Quantitative Foundation for Econometrics (3 credit hours)
  1. ETS-640 Econometrics Methods (3 credit hours)
  2. ETS-770 Applied Econometrics (3 credit hours)
  3. ETS-638 Data Visualization (3 credit hours)
  4. The students shall have to apply for removal of the deficiency course if he/she has qualified the course (or equivalent course) during his/her MS/MPhil coursework with minimum 3.0/4.0 GPA or 65% marks.

2.1. A course shall be considered equivalent to a deficiency course if 75% of the course contents are similar (or as per HEC criterion)

2.2. This similarity shall be determined by the concerned Departmental Council.

  1. The student applying for removal of deficiency course shall have to take an exam conducted by the Departmental Council and shall pass the exam with at least 65% marks. In case the student clears the exam, the Departmental Council can remove the deficiency.
  2. If the student fails to qualify the deficiency course exam he/she shall have to study the course as a regular course.
  3. A student having MPhil Economics/Econometrics from respective department of PIDE shall also have to study the deficiency courses in which he/she has scored less than 65% marks.
  4. The student can apply for removal of deficiency through prescribed form in any one or all the defined deficiency courses.
  5. The deficiency courses shall not be counted toward the CGPA.

On fulfilling the required criteria, the department council may allow for the removal of the deficiency. The Head of Department will recommend the case to the competent authority for elimination of deficiency courses, if feasible otherwise.

Comprehensive Exam

After completion of prescribed coursework, a student must pass comprehensive examinations in Econometric Theory and Applied Econometrics. The comprehensive examinations shall be composed of two parts – a written examination and an oral examination. The oral examination shall be taken after one week of written examination. The marks distribution shall be:

Written (Marks)

Viva-Voce (Marks)

Total Marks

Passing Marks

85

15

100

65

In normal circumstances, the comprehensive examination must be taken after the completion of the core courses: ETS-840 Micro Econometrics, ETS-840 Macro Econometrics, ETS-640 Econometrics Methods,ETS-638 Data Visualization, ETS-620 Quantitative Foundation for Econometrics,ETS-770 Applied Econometrics and ETS-771 Topics in Advance Econometrics.

List of Proposed Optional Courses

Sr. No.

Code

Course Title

Credit Hour

1.

ETS-810

Financial Econometrics

03

2.

ETS-800

Panel Data Econometrics

03

3.

ETS-820

Spatial Econometrics

03

4.

ETS-830

Non-parametric and Semi Parametric Econometrics

03

5.

ETS-850

Multivariate Analysis

03

6.

ETS-870

Static and Dynamic Optimization

03

7.

ETS-880

Operations Research

03

8.

ETS-890

Structural Equation Modeling

03

9.

ETS-622

Sampling Design and Analysis

03

10.

ETS-624

Numerical Analysis and Stochastic Simulations

03

11.

ETS-626

Advance Probability Theory

03

12.

ETS-630

Advanced Statistical Inference

03

13.

ETS-634

Big Data Analysis

03

14.

ETS-643

Econometric Forecasting (Only for Ph.D.)

03

15.

ETS-835

Bayesian Econometrics

03

16.

ETS-635

Asymptotic Theory &Simulations

03

17.

ETS-745

Agent Based Modeling

03

18.

ETS-625

Elements of Statistical Learning

03

19.

ETS-722

Financial Economics

03

20.

ETS-641

Time Series Analysis

03

 

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