You estimate the equation: Y=6.2+0.41X. After finding heteroscedasticity, you run a second equation: Y/X=0.39+6.31/X. What is the effects of X on Y based on your preferred specification? A. A 1 unit change in X increases Y by 6.31 units. B. A 1 unit change in X increases Y by 0.39 units C. A 1 unit change in X increases Y by 6.31%. D. A 1 unit change in X increases Y by 39% Q 5 Which of the following are advantages of the use of panel data over pure cross- sectional or pure timeseries modelling? (i) The use of panel data can increase the number of degrees of freedom and therefore the power of tests (ii) The use of panel data allows the average value of the dependent variable to vary either cross-sectionally or over time or both (iii) The use of panel data enables the researcher allows the estimated relationship between the independent and dependent variables to vary either cross-sectionally or over time or both A. (i) only B. (i) and (ii) only C. (ii) only D. (i), (ii), and (iii) Q6 Autocorrelation causes biased estimates: A. Never, only invalid standard errors. B. If it is caused by a genuine AR(1) process. C. When the lagged independent variable is omitted, but not when the lagged dependent variable is omitted D. If it is caused by omission of lagged variables
You estimate the equation: Y=6.2+0.41X. After finding heteroscedasticity, you run a second equation: Y/X=0.39+6.31/X. What is the effects of X on Y based on your preferred specification? A. A 1 unit change in X increases Y by 6.31 units. B. A 1 unit change in X increases Y by 0.39 units C. A 1 unit change in X increases Y by 6.31%. D. A 1 unit change in X increases Y by 39% Q 5 Which of the following are advantages of the use of panel data over pure cross- sectional or pure timeseries modelling? (i) The use of panel data can increase the number of degrees of freedom and therefore the power of tests (ii) The use of panel data allows the average value of the dependent variable to vary either cross-sectionally or over time or both (iii) The use of panel data enables the researcher allows the estimated relationship between the independent and dependent variables to vary either cross-sectionally or over time or both A. (i) only B. (i) and (ii) only C. (ii) only D. (i), (ii), and (iii) Q6 Autocorrelation causes biased estimates: A. Never, only invalid standard errors. B. If it is caused by a genuine AR(1) process. C. When the lagged independent variable is omitted, but not when the lagged dependent variable is omitted D. If it is caused by omission of lagged variables
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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Question
Q4
You estimate the equation: Y=6.2+0.41X. After finding heteroscedasticity, you run a second equation: Y/X=0.39+6.31/X.
What is the effects of X on Y based on your preferred specification?
A. A 1 unit change in X increases Y by 6.31 units.
B. A 1 unit change in X increases Y by 0.39 units
C. A 1 unit change in X increases Y by 6.31%.
D. A 1 unit change in X increases Y by 39%
Q 5
Which of the following are advantages of the use of panel data over pure cross-
sectional or pure
timeseries modelling?
(i) The use of panel data can increase the number of degrees of freedom and therefore the power of tests
(ii) The use of panel data allows the average value of the dependent variable to vary either cross-sectionally or over time or both
(iii) The use of panel data enables the researcher allows the estimated relationship between the independent and dependent variables to vary either cross-sectionally or over time or both
A. (i) only
B. (i) and (ii) only
C. (ii) only
D. (i), (ii), and (iii)
Q6
Autocorrelation causes biased estimates:
A. Never, only invalid standard errors.
B. If it is caused by a genuine AR(1) process.
C. When the lagged independent variable is omitted, but not when the lagged dependent variable
is omitted
D. If it is caused by omission of lagged variables
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