Download IGNOU BECE 142 Solved Free Assignment 2024-25

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BECE 142

Applied Econometrics

IGNOU BECE 142 Solved Free Assignment

BECE 142 Solved Free Assignment July 2024 & January 2025

Assignment 1

Q 1. (a) A research study involves examining the impact of Pradhan Mantri Jan Dhan Yojana initiative on the economically weaker section in the state of Madhya Pradesh. Suggest an appropriate research design (in terms of quantitative and qualitative research designs) to undertake such a study. Give reasons.

(b) Discuss the difference between Univariate, Bivariate and Multivariate analysis? 10

Q 2. (a) A study is conducted to find the relationship between city temperature on a single day and the elevation of the city. A random sample of various cities is presented in the following table: (you may solve this using Microsoft Excel) 10

Elevation (in feet) 7000 4000 6000 3000 7000 4500 5000
Temperature (⸰ F) 50 60 48 70 55 55 60

(i) Find a regression equation for elevation and city temperature on a given day.
(ii) Find the residuals and create a residual plot.
(iii) Use the regression equation to estimate the city temperature for the city situated at an elevation of 5500ft.
(iv) Find the correlation coefficient and coefficient of determination and interpret both.

(b) A study shows that there is a correlation between people who are obese and those that have cancer. Does that mean being obese causes cancer?

(c) A standard error of the estimate is a measure of the accuracy of predictions. Elucidate.

Assignment 2

Q 3. Do you think that Akaike information criterion (AIC) is superior to adjustment criterion in determining the choice of Model? Give reasons and illustration in support of your answer.

Q 4. What do you mean by the term ‘Logs’ in the context of economic data? Give an account of the factors contributing to ‘Log effect’. Give illustration in support of your answer.

Q 5. Distinguish between Logit model and Probit model. Explain with illustration the process involved in estimation of Logit model.

Assignment 3

Q 6. What are the various assumptions considered for running a multiple regression model? Are these assumptions different from the ones considered under simple regression model?

Q 7. What is the difference between random effects approach and fixed effects approach for estimation of parameters? State the assumptions of fixed effects model.

Q 8. “OLS is appropriate method for estimating the parameters of Binary dependent variable model”- Comment.

Q 9. What is meant by the problem of identification? Explain the conditions for identification.

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BECE 141 Solved Free Assignment July 2024 & January 2025

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