MECE-102 EM 2025-26 SOLVED ASSIGNMENT

Description

MECE-102: ADVANCED ECONOMETRIC METHODS
Assignment
Course Code: MECE-102
Asst. Code: MECE-102/AST/2025-26
Maximum Marks: 100

MASTER OF ARTS
(ECONOMICS)
ASSIGNMENTS 2025-26
Fourth Semester Courses
(For learners appearing in term-end exams in June
2026 and December 2026 Sessions)

Note: Answer all the questions. While questions in Section A carry 20 marks each, those in Section B carry 12 marks each.

Section A

1. a) What is meant by identification problem in a simultaneous equation model?
2. b) In the following two-equation system check the identification status of both the equations.
3. c) Explain how the first equation in the above model can be estimated.
4. Distinguish between weak stationarity and strong stationarity. Explain the methods of testing for stationarity in a univariate time series model.

Section B

3.What is the underlying idea behind the logit model? Explain how the parameters of the logit model can be estimated by maximum likelihood method

4.. What is meant by dynamic model? Explain how the following model can be estimated?

5.For what purpose is the Box-Jenkins methodology used? Write down the steps of the above method.

6. Justify the need for Autoregressive Conditional Heteroscedasticity (ARCH) model. Explain how you would carry out a test for ARCH effect in a data set.

7.Write short notes on the following: a) Generalised-ARCH model

1. b) Need for Dynamic Panel Data Models