MCQs Multicollinearity

MCQs Econometrics Statistics 4

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This quiz is about MCQs Econometrics Statistics, which covers the topics of Regression analysis, correlation, dummy variable, multicollinearity, heteroscedasticity, autocorrelation, and many other topics. Let’s start with the MCQs Econometric Statistics Quiz.

MCQs about Multicollinearity, Dummy Variable, Selection of Variables, Error in Variables, Autocorrelation, Time Series, Heteroscedasticity, Simultaneous Equations, and Regression analysis

1. The presence of heteroscedasticity does not destroy the _______________ of OLS estimators.

 
 
 
 

2. Autocorrelation may be the result of _____________

 
 
 
 

3. If there is no overlapping between regressors then __________

 
 
 
 

4. If we omit a relevant variable from the model ___________

 
 
 
 

5. Robust standard errors are the ones that are corrected by __________.

 
 
 
 

6. Collinearity or multicollinearity occurs whenever _________

 
 
 
 

7. The Durbin-Watson d test has no__________ for the rejection of the null hypothesis.

 
 
 
 

8. Which one of the following is not a plausible remedy for near multicollinearity?

 
 
 
 

9. In the case of multicollinearity, the confidence interval tends to be much ______, leading to the acceptance of a zero null hypothesis.

 
 
 
 

10. The generalized least square estimators are also called:

 
 
 
 

11. If the value of R-square between $X_2$ and $X_3$ approaches 1 then _________.

 
 
 
 

12. One can test the pure randomness of residual from _______

 
 
 
 

13. What does a VIF of 1 mean?

 
 
 
 

14. If measurement errors are present only independent variable, then the estimate remains:

 
 
 
 

15. Autocorrelation is most likely occurred in ____________ data?

 
 
 
 

16. Which of the following could be used as a test for autocorrelation up to third order?

 
 
 
 

17. The term Heteroscedasticity means ________

 
 
 
 

18. Which of the following is an indication of the existence of multicollinearity?

 
 
 
 

19. Which of the following is an indication of the existence of multicollinearity?

 
 
 
 

20. One can test the pure randomness of residuals from

 
 
 
 


An application of different statistical methods applied to the economic data used to find empirical relationships between economic data is called Econometrics.

Econometrics means “Economic Measurement”. Econometrics is the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of statistical inference.

Econometrics can also be defined as the empirical determination of economic laws. Econometrics can be classified as (i) Theoretical Econometrics and (ii) Applied Econometrics.

(i) Theoretical Econometrics

Theoretical econometrics is concerned with developing appropriate methods for measuring economic relationships specified by econometric models. Theoretical econometrics leans heavily on mathematical statistics and must spell out the assumptions of methods (such as Least Squares), their properties, and what happens to these properties when one or more of the assumptions of the technique are not fulfilled.

(ii) Applied Econometrics

In applied econometrics, the tools of theoretical econometrics are used to study special fields(s) such as production function, investment function, demand and supply function, portfolio theory, etc.

MCQs Econometrics Statistics

  • Which one of the following is not a plausible remedy for near multicollinearity?
  • Which of the following could be used as a test for autocorrelation up to third order?
  • If we omit a relevant variable from the model ———-
  • Autocorrelation may be the result of ———-
  • One can test the pure randomness of residual from ———-
  • The term Heteroscedasticity means ———-
  • Collinearity or multicollinearity occurs whenever ———-
  • If there is no overlapping between regressors then ———-
  • What does a VIF of 1 mean?
  • Autocorrelation is most likely occurred in ———- data?
  • If measurement errors are present only independent variable, then the estimate remains:
  • The presence of heteroscedasticity does not destroy the ———- of OLS estimators.
  • The Durbin-Watson d test has no ———- for the rejection of the null hypothesis.
  • If the value of R-square between $X_2$ and $X_3$ approaches 1 then ———-.
  • Which of the following is an indication of the existence of multicollinearity?
  • The generalized least square estimators are also called:
  • Robust standard errors are the ones that are corrected by ———-.
  • In the case of multicollinearity, the confidence interval tends to be much ———-, leading to the acceptance of a zero null hypothesis.
  • Which of the following is an indication of the existence of multicollinearity?
  • One can test the pure randomness of residuals from

Types of Econometrics Data

Different type of data is used in Econometrics. There are three important types of data for empirical analysis:

  • Time Series Data
    A time series data is a set of observations on the values that a variable takes at different times. The time series data may be collected at regular time intervals such as daily, weekly, monthly, quarterly, annually, etc.
  • Cross-Sectional Data
    Cross-sectional data are data on one or more variables collected at the same point in time. Cross-sectional data has a problem of heterogeneity.
  • Pooled Data
    Pooled data is a combination of both time series and cross-sectional data.

MCQs Econometrics Statistics

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Basic Econometrics MCQs 3

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This quiz is about Basic Econometrics MCQs with Answers, which cover the topics of Regression analysis, correlation, dummy variable, multicollinearity, heteroscedasticity, autocorrelation, and many other topics. Let’s start with the Basic Econometrics MCQs with Answers Quiz.

Please go to Basic Econometrics MCQs 3 to view the test

An application of different statistical methods applied to the economic data used to find empirical relationships between economic data is called Econometrics.

Econometrics means “Economic Measurement”. Econometrics is the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of statistical inference.

Econometrics can also be defined as the empirical determination of economic laws. Econometrics can be classified as (i) Theoretical Econometrics and (ii) Applied Econometrics.

(i) Theoretical Econometrics

Theoretical econometrics is concerned with developing appropriate methods for measuring economic relationships specified by econometric models. Theoretical econometrics leans heavily on mathematical statistics and must spell out the assumptions of methods (such as Least Squares), their properties, and what happens to these properties when one or more of the assumptions of the technique are not fulfilled.

(ii) Applied Econometrics

In applied econometrics, the tools of theoretical econometrics are used to study special fields(s) such as production function, investment function, demand and supply function, portfolio theory, etc.

Basic Econometrics MCQs

  • The rule of thumb is if k is between 100 and 1000 then there is _______ multicollinearity?
  • A system which has an infinite number of solutions has ______.
  • The existence of a perfect or near-to-exact linear relationship among some or all explanatory variables of a regression model is called
  • If $\rho$ is zero, then there is
  • Zero tolerance or VIF equal to one indicate
  • The log transformation is __________ if some of the $Y$ and $X$ values are zero or negative.
  • In the case of perfect multicollinearity, the OLS estimates are
  • In case of perfect or near-to-perfect multicollinearity, the OLS estimates are
  • The Glejser test is similar to _________.
  • If the calculated value of tolerance is 1, then there is an issue of
  • If $d*<d_l$ then we
  • An assumption about underlying the d statistics “The explanatory variable $X$’s are non-stochastic or fixed in __________”
  • Which combination of regressors might lead to perfect collinearity?
  • In the case of perfect multicollinearity, the $X’X$ is a ___________.
  • Durbin and Watson have suggested a test to detect the presence of autocorrelation which applies to
  • Which one assumption is not related to an error in the independent variable
  • The existence of a perfect or near-to-exact linear relationship among some or all explanatory variables of a regression model is called
  • What is the meaning of the term heteroscedasticity?
  • The generalized least square (GLS) is an efficient procedure that weights each squared residual by:
  • In a regression model with 3 explanatory variables, there will be __________ auxiliary regressions.

Types of Econometrics Data

Different type of data is used in Econometrics. There are three important types of data for empirical analysis:

  • Time Series Data
    A time series data is a set of observations on the values that a variable takes at different times. The time series data may be collected at regular time intervals such as daily, weekly, monthly, quarterly, annually, etc.
  • Cross-Sectional Data
    Cross-sectional data are data on one or more variables collected at the same point in time. Cross-sectional data has a problem of heterogeneity.
  • Pooled Data
    Pooled data is a combination of both time series and cross-sectional data.
Basic Econometrics MCQs

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