Description
BECC-110 : INTRODUCTORY ECONOMETRICS
Course Code: BECC-110
Assignment Code: ASST/BECC 110/ 2025-26
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. 2 x 20 = 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. 3 x 10 = 30
3) Explain why an error variable is added to the regression model. Distinguish between the error term (u) and the residual (𝑢).
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 𝑅 and adjusted- 𝑅 .
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.
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