An independent researcher is interested in finding out whether there exists a positive relationship between the number of years of formal education received by an individual and the number of years of formal education received by each of his parents. It is assumed that the number of years of formal education received by one parent of an individual is positively correlated with that of the other parent. The researcher randomly selects 130 individuals and estimates the following regression function: Y₁ =7+0.56X₁. th where Y, denotes the number of years of formal education received by the individual and X; denotes the number of years of formal education received by the individual's father. Since the researcher only incorporates the educational attainment of an individual's father in the regression, and not that of the individual's mother, omitted variable bias will occur. Which of the following statements correctly describes the omitted variable bias? OA. Omitted variable bias arises when the variance of the conditional distribution of error term is not constant and depends on the omitted variable. B. Omitted variable bias arises when the omitted variable is correlated with a regressor and is a determinant of the dependent variable. O C. Omitted variable bias arises when the omitted variable is a determinant of the independent variable but not of the dependent variable. O D. Omitted variable bias arises when the omitted variable is correlated with the error term and is a determinant of a regressor. Suppose the researcher somehow discovers that the values of the population slope (₁), the standard deviation of the regressor (6x), the standard deviation of the error term (ou), and the correlation between the error term and the regressor (px) are 0.32, 0.55, 0.34, 0.47, respectively. As the sample size increases, the value to which the slope estimator will converge to with high probability is 0.32 (Round your answer to two decimal places.) In this case, the direction of the omitted variable bias is positive

ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN:9780190931919
Author:NEWNAN
Publisher:NEWNAN
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
icon
Related questions
Question
An independent researcher is interested in finding out whether there exists a positive relationship between the number of years of formal education received
by an individual and the number of years of formal education received by each of his parents. It is assumed that the number of years of formal education
received by one parent of an individual is positively correlated with that of the other parent. The researcher randomly selects 130 individuals and estimates
the following regression function:
Y₁ = 7+0.56X₁,
where Y, denotes the number of years of formal education received by the th individual and X; denotes the number of years of formal education received by
the th individual's father.
Since the researcher only incorporates the educational attainment of an individual's father in the regression, and not that of the individual's mother, omitted
variable bias will occur.
Which of the following statements correctly describes the omitted variable bias?
A. Omitted variable bias arises when the variance of the conditional distribution of error term is not constant and depends on the omitted variable.
B. Omitted variable bias arises when the omitted variable is correlated with a regressor and is a determinant of the dependent variable.
C. Omitted variable bias arises when the omitted variable is a determinant of the independent variable but not of the dependent variable.
O D. Omitted variable bias arises when the omitted variable is correlated with the error term and is a determinant of a regressor.
Suppose the researcher somehow discovers that the values of the population slope (₁1), the standard deviation of the regressor (ox), the standard deviation
of the error term (u), and the correlation between the error term and the regressor (pxu) are 0.32, 0.55, 0.34, 0.47, respectively.
As the sample size increases, the value to which the slope estimator will converge to with high probability is 0.32
(Round your answer to two decimal places.)
In this case, the direction of the omitted variable bias is positive
Transcribed Image Text:An independent researcher is interested in finding out whether there exists a positive relationship between the number of years of formal education received by an individual and the number of years of formal education received by each of his parents. It is assumed that the number of years of formal education received by one parent of an individual is positively correlated with that of the other parent. The researcher randomly selects 130 individuals and estimates the following regression function: Y₁ = 7+0.56X₁, where Y, denotes the number of years of formal education received by the th individual and X; denotes the number of years of formal education received by the th individual's father. Since the researcher only incorporates the educational attainment of an individual's father in the regression, and not that of the individual's mother, omitted variable bias will occur. Which of the following statements correctly describes the omitted variable bias? A. Omitted variable bias arises when the variance of the conditional distribution of error term is not constant and depends on the omitted variable. B. Omitted variable bias arises when the omitted variable is correlated with a regressor and is a determinant of the dependent variable. C. Omitted variable bias arises when the omitted variable is a determinant of the independent variable but not of the dependent variable. O D. Omitted variable bias arises when the omitted variable is correlated with the error term and is a determinant of a regressor. Suppose the researcher somehow discovers that the values of the population slope (₁1), the standard deviation of the regressor (ox), the standard deviation of the error term (u), and the correlation between the error term and the regressor (pxu) are 0.32, 0.55, 0.34, 0.47, respectively. As the sample size increases, the value to which the slope estimator will converge to with high probability is 0.32 (Round your answer to two decimal places.) In this case, the direction of the omitted variable bias is positive
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 2 images

Blurred answer
Knowledge Booster
Regression Model
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, economics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
ENGR.ECONOMIC ANALYSIS
ENGR.ECONOMIC ANALYSIS
Economics
ISBN:
9780190931919
Author:
NEWNAN
Publisher:
Oxford University Press
Principles of Economics (12th Edition)
Principles of Economics (12th Edition)
Economics
ISBN:
9780134078779
Author:
Karl E. Case, Ray C. Fair, Sharon E. Oster
Publisher:
PEARSON
Engineering Economy (17th Edition)
Engineering Economy (17th Edition)
Economics
ISBN:
9780134870069
Author:
William G. Sullivan, Elin M. Wicks, C. Patrick Koelling
Publisher:
PEARSON
Principles of Economics (MindTap Course List)
Principles of Economics (MindTap Course List)
Economics
ISBN:
9781305585126
Author:
N. Gregory Mankiw
Publisher:
Cengage Learning
Managerial Economics: A Problem Solving Approach
Managerial Economics: A Problem Solving Approach
Economics
ISBN:
9781337106665
Author:
Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:
Cengage Learning
Managerial Economics & Business Strategy (Mcgraw-…
Managerial Economics & Business Strategy (Mcgraw-…
Economics
ISBN:
9781259290619
Author:
Michael Baye, Jeff Prince
Publisher:
McGraw-Hill Education