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IGNOU MECE 1 Solved Assignment 2023 2024
Rs.
Rs. 50

IGNOU MEC MECE 1 Solved Assignment 2023 2024

IGNOU MEC MECE 1 Solved Assignment 2023 2024
Rs.
Rs. 50

Last Date of Submission of IGNOU MECE-01 (MEC) 2023-24 Assignment is for January 2023 Session: 30th September, 2023 (for December 2023 Term End Exam).
Semester Wise
January 2023 Session:
30th March, 2024 (for June 2024 Term End Exam).
July 2023 Session: 30th September, 2023 (for December 2023 Term End Exam).

Title Nameignou MECE 1 solved assignment 2023 2024
TypeSoft Copy (E-Assignment) .pdf
UniversityIGNOU
DegreeMASTER DEGREE PROGRAMMES
Course CodeMEC
Course NameMaster of Arts in Economics
Subject CodeMECE 1
Subject NameEconometric Methods
Year2023 2024
Session-
LanguageEnglish Medium
Assignment CodeMECE-01/Assignmentt-1//2023-24
Product DescriptionAssignment of MEC (Master of Arts in Economics) 2023-24. Latest MECE 01 2023-24 Solved Assignment Solutions
Last Date of IGNOU Assignment Submission
Last Date of Submission of IGNOU MECE-01 (MEC) 2023-24 Assignment is for January 2023 Session: 30th September, 2023 (for December 2023 Term End Exam).
Semester Wise
January 2023 Session:
30th March, 2024 (for June 2024 Term End Exam).
July 2023 Session: 30th September, 2023 (for December 2023 Term End Exam).

Assignment CodeMECE 1/2023 2024
Rs.
Rs. 50
Questions Included in this Help Book

Ques 1.

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(a) Estimate the regression model: Y_{i} =\alpha +\beta X_{i} + u_{i} a stochatic , where u a stochastic error term with
classical assumptions.
(b) Find out the percentage variation in Y that is explained by X. 

 

Ques 2.

Explain why an error term is added to the regression model. What assumptions are made about the error term? What are the implications of such assumptions? What will happen to the estimators of the parameters of the regression model, if these assumptions are violated?

Ques 3.

What is meant by autocorrelation? Explain one of the remedial measures for the problem of heteroscedasticity.

Ques 4.

What is meant by identification problem in a simultaneous equation system? How do you decide whether an equation is identified?

Ques 5.

What is meant by dummy variable model? Illustrate how dummy variable is used in logit model. How do you interpret the parameters of logit model?

Ques 6.

Describe how a distributed lag model is specified and estimated.

Ques 7.

Best Linear Unbiased Estimator

Ques 8.

Reduced form of a Simultaneous Equation System

Rs.
Rs. 50

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