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12. A dummy variable: a. Is an artificial variable generated by the researcher via econometric packages b. Is used to check whether an event, policy, feature causes changes in the value of Y c. Takes on either 0 or 1 d. A and Ce. All the above

12. A dummy variable: a. Is an artificial variable generated by the researcher via econometric packages b. Is used to check whether an event, policy, feature causes changes in the value of Y c. Takes on either 0 or 1 d. A and Ce. All the above

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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12. A dummy variable: a. Is an artificial variable generated by the researcher via econometric packages b. Is used to check whether an event, policy, feature causes changes in the value of Y c. Takes on either 0 or 1 d. A and Ce. All the above 13. To test whether the partial impact of X 1 on Y changes for different values of X 2, we include: 14. If the impact of X 1 on Y, differs depending on the initial value that X 1 takes on, we: a. Include a quadratic term in the regression equation b. Are dealing with a non-linear impact of X 1 on Y c. Can state that X1 has an increasing impact on Y d. A and Вe. А and C 15. The partial impact of a categorical dummy on Y is 16. Dummy Variable trap arises when we include all possible groups in the regression equation. (True / False) 17. The presence of multicollinearity between regressors does not violate ceteris paribus interpretation. (True / False) 18. When comparing two nested models, a researcher runs a/n test: 19. When comparing two non-nested models, one can rely on:
Transcribed Image Text:12. A dummy variable: a. Is an artificial variable generated by the researcher via econometric packages b. Is used to check whether an event, policy, feature causes changes in the value of Y c. Takes on either 0 or 1 d. A and Ce. All the above 13. To test whether the partial impact of X 1 on Y changes for different values of X 2, we include: 14. If the impact of X 1 on Y, differs depending on the initial value that X 1 takes on, we: a. Include a quadratic term in the regression equation b. Are dealing with a non-linear impact of X 1 on Y c. Can state that X1 has an increasing impact on Y d. A and Вe. А and C 15. The partial impact of a categorical dummy on Y is 16. Dummy Variable trap arises when we include all possible groups in the regression equation. (True / False) 17. The presence of multicollinearity between regressors does not violate ceteris paribus interpretation. (True / False) 18. When comparing two nested models, a researcher runs a/n test: 19. When comparing two non-nested models, one can rely on:
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