- Econometric Methods,

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Are you looking to download a PDF soft copy of the Solved Assignment **MECE-01 - Econometric Methods**? Then GullyBaba is the right place for you. We have the Assignment available in English and Hindi language.

This particular Assignment references the syllabus chosen for the subject of **Economics**, for the **July 2020 - January 2021** session. The code for the assignment is MECE-01 and it is often used by students who are enrolled in the MA Degree.

Once students have paid for the Assignment, they can Instantly Download to their PC, Laptop or Mobile Devices in soft copy as a PDF format. After studying the contents of this Assignment, students will have a better grasp of the subject and will be able to prepare for their upcoming tests.

**Section A**

1. Consider the Cobb-Douglas production function given by (standard notations apply) where u is the stochastic error term.

i) Find OLS estimators for

ii) Find standard error of the OLS estimator .

iii) Prove that OLS estimator is BLUE.

2. What is meant by indirect least squares method? Explain how the following model can be estimated using this method.

where Q = quantity, P = price and X = income.

**Section B**

3. What is meant by multicollinearity. What are its consequences on estimates? What remedial measures do you suggest for the problem?

4. Consider the two variable regression model where the error term follows

i) What are the problems encountered by data in the above model?

ii) Explain one of the procedures you would follow to estimate the model.

5. Explain the steps you would follow in estimation of parameters through the method of Generalised Least Squares (GLS).

6. What is meant by Gauss-Markov theorem? What assumptions are required to prove Gauss Markov theorem? For the regression model show that the theorem is true for the estimate of

7. Write short notes on the following:

a) Rank and Order Conditions

b) Maximum Likelihood Method of Estimation

**This section carry 20 marks each (to be answered in about 500 words each).**

- What do you understand by autocorrelation? What are the consequences of autocorrelation? How do you detect autocorrelation in a data set? Explain the steps you would follow to remove the problem of autocorrelation.
- Consider the regression equation , where ui is a stochastic error term.

(a) Explain the need of including the ui in the model

(b) What assumptions regarding the error term are needed to prove the Gauss-Markov theorem?

(c) Prove the Gauss –Markov theorem for the estimator of β.

**This section carry 12 marks each (to be answered in about 300 words each).**

- What is meant by heteroscedasticity? Explain one of the remedial measures for the problem of heteroscedasticity.
- What is meant by dynamic model? Explain how the following model can be estimated?

where In the above model is distributed independent, normal with mean zero and variance - What is meant by indirect least squares (ILS) method? Explain how the following model can be estimated using this method?

Demand function:

Supply function:

where Q = quantity, P = Price, and = income. - Explain the steps followed in estimation of parameters through the method of Generalised least squares (GLS).
- Explain the concept of multicollinearity. What are its consequences on estimates? What remedial measures would you suggest for problem of multicollinearity?

The IGNOU open learning format requires students to submit study Assignments. Here is the final end date of the submission of this particular assignment according to the university calendar.

**15th July 2021**(if Enrolled in the**July 2020**Session)**30th Sept. 2021**(if Enrolled in the**January 2021**Session).

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- July 2021 - January 2022 24 Pages (0.00 ), PDF Format SKU: IGNGB-AS-MA-MECE01-EN-

- July 2020 - January 2021 16 Pages (0.00 ), PDF Format SKU: IGNGB-AS-MA-MECE01-EN-

- July 2020 - January 2021 18 Pages (0.00 ), PDF Format SKU: IGNGB-AS-MA-MECE01-HI-

- July 2019 - January 2020 16 Pages (0.00 ), PDF Format SKU: IGNGB-AS-MA-MECE01-HI-

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