BECC-110 Introductory Econometrics in English Solved Assignment 2023-2024
Course Code: BECC-110
Assignment Code: BECC-110/TMA /2023-24
Total Marks: 100
Answer all the questions
| Title Name |
BECC-110 Solved Assignment 2023-2024 |
| University | IGNOU |
| Service Type | Solved Assignment (Soft copy/PDF) |
| Course | BAG(Economic HONOURS) |
| Language | ENGLISH |
| Semester | 2023-2024 Course: BA(Economic HONOURS) |
| Session | July 2023 and January 2024 Admission cycle |
| Short Name | BECC-110 |
| Assignment Code | BECC-110/TMA /2023-24 |
| Product | Assignment of BAG(Economic HONOURS) 2023-2024 (IGNOU) |
| Submission Date | July Cycle: 30 April January Cycle: 31 October |
Section I: Long answer questions (word limit – 500 words). Each question carries 20 marks. Word
limit does not apply in the case of numerical questions. 2 × 20 = 40
1. What is the difference between an estimate and an estimator? Explain all the properties of an estimator
with reference to BLUE.
2. Define multicollinearity. How do we identify it? Present its characteristics and also discuss the remedial
measures to handle multicollinearity.
Section II: Medium answer questions (word limit – 250 words). Each question carries 10 marks.
Word limit does not apply in the case of numerical questions. 3 × 10 = 30
3. Differentiate between Point Estimation and Interval Estimation.
4. Explain the assumptions of a classical regression model.
5. Explain the term ‘Normal Distribution’. What is its significance? Explain its characteristics.
Section III: Short answer questions (word limit – 100 words). Each question carries 6 marks. Word
limit does not apply in the case of numerical questions. 5 ×6 = 30
6. Differentiate between the concept of association and causation.
7. Discuss critical region/s. Explain one-tail and two -tail tests.
8. Which test is employed to compare means of two groups? Explain the test with the help of an example.
9. What do you understand by Sample regression function? Explain with the help of suitable examples.
10. Explain the consequences of specification errors.
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