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Suppose That in Order to Estimate of the Average Effect

question 7

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Suppose that in order to estimate of the average effect of participation in a job training program (train) on wage, you included controls for education (educ) , years of experience (exper) in your model: log(wage) = Suppose that in order to estimate of the average effect of participation in a job training program (train)  on wage, you included controls for education (educ) , years of experience (exper)  in your model: log(wage)  =   +     +   +   + u . Which of the following is a reason why the coefficient,   , might be biased? A) Exper is uncorrelated with train. B) Educ is likely correlated with both wage and train . C) Educ and exper are highly correlated with each other. D) There might be some other variable that is also correlated with both wage and train. + Suppose that in order to estimate of the average effect of participation in a job training program (train)  on wage, you included controls for education (educ) , years of experience (exper)  in your model: log(wage)  =   +     +   +   + u . Which of the following is a reason why the coefficient,   , might be biased? A) Exper is uncorrelated with train. B) Educ is likely correlated with both wage and train . C) Educ and exper are highly correlated with each other. D) There might be some other variable that is also correlated with both wage and train. Suppose that in order to estimate of the average effect of participation in a job training program (train)  on wage, you included controls for education (educ) , years of experience (exper)  in your model: log(wage)  =   +     +   +   + u . Which of the following is a reason why the coefficient,   , might be biased? A) Exper is uncorrelated with train. B) Educ is likely correlated with both wage and train . C) Educ and exper are highly correlated with each other. D) There might be some other variable that is also correlated with both wage and train. + Suppose that in order to estimate of the average effect of participation in a job training program (train)  on wage, you included controls for education (educ) , years of experience (exper)  in your model: log(wage)  =   +     +   +   + u . Which of the following is a reason why the coefficient,   , might be biased? A) Exper is uncorrelated with train. B) Educ is likely correlated with both wage and train . C) Educ and exper are highly correlated with each other. D) There might be some other variable that is also correlated with both wage and train. + Suppose that in order to estimate of the average effect of participation in a job training program (train)  on wage, you included controls for education (educ) , years of experience (exper)  in your model: log(wage)  =   +     +   +   + u . Which of the following is a reason why the coefficient,   , might be biased? A) Exper is uncorrelated with train. B) Educ is likely correlated with both wage and train . C) Educ and exper are highly correlated with each other. D) There might be some other variable that is also correlated with both wage and train. + u . Which of the following is a reason why the coefficient, Suppose that in order to estimate of the average effect of participation in a job training program (train)  on wage, you included controls for education (educ) , years of experience (exper)  in your model: log(wage)  =   +     +   +   + u . Which of the following is a reason why the coefficient,   , might be biased? A) Exper is uncorrelated with train. B) Educ is likely correlated with both wage and train . C) Educ and exper are highly correlated with each other. D) There might be some other variable that is also correlated with both wage and train. , might be biased?


Definitions:

Postformal Thought

A stage of cognitive development proposed beyond Piaget's formal operational stage, characterized by the understanding that answers to questions can vary depending on circumstances and personal perspectives.

Dialectical Thinking

A form of thinking that involves recognizing and integrating opposing viewpoints and ideas, often leading to the synthesis of a new understanding or solution.

Predicaments

Difficult, perplexing, or trying situations that require a solution.

Scaffolding

The support for learning and problem solving that encourages independence and growth.

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