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BECC-110 Introductory Econometrics in English Solved Assignment 2024-2025

Current price is: ₹40.00. Original price was: ₹100.00.

BECC-110 Introductory Econometrics
Solved Assignment 2024-2025
Course Code: BECC-110
Assignment Code: ASST/BECC 110/ 2024-25
Total Marks: 100

Current price is: ₹40.00. Original price was: ₹100.00.

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SKU: BECC-110 EM 2024-2025 Categories:

BECC-110 Introductory Econometrics Solved Assignment 2024-2025

Course Code: BECC-110
Assignment Code: ASST/BECC 110/ 2024-25
Total Marks: 100

Title NameBECC-110 Solved Assignment 2024-2025
UniversityIGNOU
Service TypeSolved Assignment (Soft copy/PDF)
CourseBAG(Economic HONOURS)
Language ENGLISH
Semester2024-2025 Course: BA(Economic HONOURS)
SessionJuly 2024 and January 2025 Admission cycle
Short Name BECC-110
Assignment CodeASST/BECC 110/ 2024-25
ProductAssignment of BAG(Economic HONOURS) 2024-2025 (IGNOU)
Submission DateJuly Cycle: 30 April
January Cycle: 31 October

Assignment I
Answer the following Descriptive Category Questions in about 500 words each. Each question
carries 20 marks. Word limit does not apply in the case of numerical questions. 20 x 2 = 40
1) Specify a multiple regression model. Point out the assumptions about the error term. Describe
how the parameters of the model can be estimated by maximum likelihood method.
2) What is meant by autocorrelation? Describe the reasons for the presence of
autocorrelation in regression model. What are the consequences of autocorrelation?
Assignment II
Answer the following Middle Category Questions in about 250 words each. Each question
carries 10 marks. Word limit does not apply in the case of numerical questions. 10 x 3 = 30
3) Explain why an error variable is added to the regression model. Distinguish between
the error term (u) and the residual ( ).
4) Which assumption is violated when there is heteroscedasticity in dataset? Describe
any three methods of detection of heteroscedasticity.
5) Explain the impact of measurement error in independent variable of a regression
model.
Assignment III
Answer the following Short Category Questions in about 100 words each. Each question carries
6 marks. 5 x 6 = 30
6) What are properties that a good estimator should satisfy?
7) Distinguish between

and adjusted-

.
8) Describe the remedial measures for the presence of multicollinearity in a multiple
regression model.
9) Interpret the parameters in a log-linear regression model.
10) Write a short note on regression through the origin.

BECC-110, BECC 110 BECC110,

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