Consider the following regression equation: y = 0+ 1x1 + … + kxk + u In which of the following cases, is 'y' a discrete variable?

A) y indicates the gross domestic product of a country B) y indicates the total volume of rainfall during a year C) y indicates household consumption expenditure D) y indicates the number of children in a family A) y indicates the gross domestic product of a country B) y indicates the total volume of rainfall during a year C) y indicates household consumption expenditure D) y indicates the number of children in a family

The following simple model is used to determine the annual savings of an individual on the basis of his annual income and education. Savings = β0 + 0 Edu + β1Inc + u The variable 'Edu' takes a value of 1 if the person is educated and the variable 'Inc' measures the income of the individual. Refer to the above model. If 0 > 0, _____.

A) uneducated people have higher savings than those who are educated B) educated people have higher savings than those who are not educated C) individuals with lower income have higher savings D) individual with lower income have higher savings A) uneducated people have higher savings than those who are educated B) educated people have higher savings than those who are not educated C) individuals with lower income have higher savings D) individual with lower income have higher savings

Exam 7: Multiple Regression Analysis With Qualitative Information

The dummy variable coefficient for a particular group represents the estimated difference in intercepts between that group and the base group.

Free

(True/False)

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Question 1

Correct Answer:

Verified

True

If the p-value of an F statistic 2.63 is 0.034, then we can say that the problem of interest is significant at the 5% level.

Free

(True/False)

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Question 2

Correct Answer:

Verified

True

Which of the following is true of dependent variables?

Free

(Multiple Choice)

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Question 3

Correct Answer:

Verified

In a regression model, which of the following will be described using a binary variable?

(Multiple Choice)

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Question 4

A dummy variable trap arises when a single dummy variable describes a given number of groups.

(True/False)

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Question 5

Consider the following regression equation: y = ₀+ ₁x₁+ … + _kx_k+ u In which of the following cases, is 'y' a discrete variable?

(Multiple Choice)

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Question 6

Which of the following problems can arise in policy analysis and program evaluation using a multiple linear regression model?

(Multiple Choice)

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Question 7

A problem that often arises in policy and program evaluation is that individuals (or firms or cities) choose whether or not to participate in certain behaviors or programs.

(True/False)

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Question 8

The income of an individual in Budopia depends on his ethnicity and several other factors which can be measured quantitatively. If there are 5 ethnic groups in Budopia, how many dummy variables should be included in the regression equation for income determination in Budopia?

(Multiple Choice)

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Question 9

Consider the following regression equation: graduate = + female + score + u where graduate is a dummy variable (1 if the person graduated from college, and 0 otherwise), female is a dummy variable (1 if the person is female, and 0 otherwise), and score is the college admission test score. What does measure?

(Multiple Choice)

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Question 10

The multiple linear regression model with a binary dependent variable is called the linear probability model.

(True/False)

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Question 11

Consider the model: log(wage) = + female + exper + female * exper + u, where exper is the years of work experience, and female is a dummy variable (1 if the person is female, and 0 otherwise). Which of the following measures the difference in the return of experience between men and women?

(Multiple Choice)

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Question 12

The parameters in a linear probability model can be interpreted as measuring the change in the probability that y = 1 due to a one-unit increase in an explanatory variable.

(True/False)

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Question 13

Which of the following is true of Chow test?

(Multiple Choice)

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Question 14

The following simple model is used to determine the annual savings of an individual on the basis of his annual income and education. Savings = β₀ + ₀ Edu + β₁Inc + u The variable 'Edu' takes a value of 1 if the person is educated and the variable 'Inc' measures the income of the individual. Refer to the above model. If ₀ > 0, _____.

(Multiple Choice)

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Question 15

The following simple model is used to determine the annual savings of an individual on the basis of his annual income and education. Savings = The variable 'Edu' takes a value of 1 if the person is educated and the variable 'Inc' measures the income of the individual. Refer to the model above. The inclusion of another binary variable in this model that takes a value of 1 if a person is uneducated, will give rise to the problem of _____.

(Multiple Choice)

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Question 16

A _____ variable is used to incorporate qualitative information in a regression model.

(Multiple Choice)

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Question 17

A binary response is the most extreme form of a discrete random variable that takes on:

(Multiple Choice)

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Question 18

In a self-selection problem, the explanatory variables can be:

(Multiple Choice)

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Question 19

Which of the following Gauss-Markov assumptions is violated by the linear probability model?

(Multiple Choice)

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Question 20

Showing 1 - 20 of 28

The dummy variable coefficient for a particular group represents the estimated difference in intercepts between that group and the base group.

If the p-value of an F statistic 2.63 is 0.034, then we can say that the problem of interest is significant at the 5% level.

Which of the following is true of dependent variables?

In a regression model, which of the following will be described using a binary variable?

A dummy variable trap arises when a single dummy variable describes a given number of groups.

Consider the following regression equation: y = ₀+ ₁x₁+ … + _kx_k+ u In which of the following cases, is 'y' a discrete variable?

Which of the following problems can arise in policy analysis and program evaluation using a multiple linear regression model?

A problem that often arises in policy and program evaluation is that individuals (or firms or cities) choose whether or not to participate in certain behaviors or programs.

The income of an individual in Budopia depends on his ethnicity and several other factors which can be measured quantitatively. If there are 5 ethnic groups in Budopia, how many dummy variables should be included in the regression equation for income determination in Budopia?

The multiple linear regression model with a binary dependent variable is called the linear probability model.

Consider the model: log(wage) = + female + exper + female * exper + u, where exper is the years of work experience, and female is a dummy variable (1 if the person is female, and 0 otherwise). Which of the following measures the difference in the return of experience between men and women?

The parameters in a linear probability model can be interpreted as measuring the change in the probability that y = 1 due to a one-unit increase in an explanatory variable.

Which of the following is true of Chow test?

A _____ variable is used to incorporate qualitative information in a regression model.

A binary response is the most extreme form of a discrete random variable that takes on:

In a self-selection problem, the explanatory variables can be:

Which of the following Gauss-Markov assumptions is violated by the linear probability model?

The Nature of Econometrics and Economic Data

The Simple Regression Model

Multiple Regression Analysis Estimation

Multiple Regression Analysis Inference

Multiple Regression Analysis Ols Asymptotics

Multiple Regression Analysis Further Issues

Heteroskedasticity

More on Specification and Data Issues

Basic Regression Analysis With Time Series Data

Further Issues in Using Ols With Time Sries Data

Serial Correlation and Heteroskedasticity in Time Series Regressions

Pooling Cross Sections Across Time Simple Panel Data Methods

Advanced Panel Data Methods

Instrumental Variables Estimation and Two Strage Least Squares

Simultaneous Equations Models

Limited Dependent Variable Models and Sample Selection Correctons

Advanced Time Series Topics

Carrying Out an Empirical Project

Filters

Exam 7: Multiple Regression Analysis With Qualitative Information

The dummy variable coefficient for a particular group represents the estimated difference in intercepts between that group and the base group.

If the p-value of an F statistic 2.63 is 0.034, then we can say that the problem of interest is significant at the 5% level.​

Which of the following is true of dependent variables?

In a regression model, which of the following will be described using a binary variable?

A dummy variable trap arises when a single dummy variable describes a given number of groups.

Consider the following regression equation: y = 0+ 1x1 + … + kxk + u In which of the following cases, is 'y' a discrete variable?

Which of the following problems can arise in policy analysis and program evaluation using a multiple linear regression model?

A problem that often arises in policy and program evaluation is that individuals (or firms or cities) choose whether or not to participate in certain behaviors or programs.

The income of an individual in Budopia depends on his ethnicity and several other factors which can be measured quantitatively. If there are 5 ethnic groups in Budopia, how many dummy variables should be included in the regression equation for income determination in Budopia?

The multiple linear regression model with a binary dependent variable is called the linear probability model.

Consider the model: log(wage) = + female + exper + female * exper + u, where exper is the years of work experience, and female is a dummy variable (1 if the person is female, and 0 otherwise). Which of the following measures the difference in the return of experience between men and women?

The parameters in a linear probability model can be interpreted as measuring the change in the probability that y = 1 due to a one-unit increase in an explanatory variable.​

Which of the following is true of Chow test?

A _____ variable is used to incorporate qualitative information in a regression model.

A binary response is the most extreme form of a discrete random variable that takes on:​

In a self-selection problem, the explanatory variables can be:​

Which of the following Gauss-Markov assumptions is violated by the linear probability model?

The Nature of Econometrics and Economic Data

The Simple Regression Model

Multiple Regression Analysis Estimation

Multiple Regression Analysis Inference

Multiple Regression Analysis Ols Asymptotics

Multiple Regression Analysis Further Issues

Heteroskedasticity

More on Specification and Data Issues

Basic Regression Analysis With Time Series Data

Further Issues in Using Ols With Time Sries Data

Serial Correlation and Heteroskedasticity in Time Series Regressions

Pooling Cross Sections Across Time Simple Panel Data Methods

Advanced Panel Data Methods

Instrumental Variables Estimation and Two Strage Least Squares

Simultaneous Equations Models

Limited Dependent Variable Models and Sample Selection Correctons

Advanced Time Series Topics

Carrying Out an Empirical Project

Filters

If the p-value of an F statistic 2.63 is 0.034, then we can say that the problem of interest is significant at the 5% level.

Consider the following regression equation: y = ₀+ ₁x₁+ … + _kx_k+ u In which of the following cases, is 'y' a discrete variable?

The parameters in a linear probability model can be interpreted as measuring the change in the probability that y = 1 due to a one-unit increase in an explanatory variable.

A binary response is the most extreme form of a discrete random variable that takes on:

In a self-selection problem, the explanatory variables can be: