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Suppose you are interested in understanding the causal impact of having an MBA (versus just an un...

Suppose you are interested in understanding the causal impact of having an MBA (versus just an undergraduate degree in business) on earnings. To this end, you estimate a regression of the following form:

EARNINGS = 55679 + 27809(MBA)

  1. Write out the causal question/relationship that is implied by the above equation.
  1. The estimated coefficient above suggests that individuals with an MBA earn $27,809 more than those with just a business undergraduate, on average. Give an example of how omitted variable bias might impact this estimate.

When omitted variable bias is thought to be an issue, researchers often recommend the use of randomized control trials (RCTs), which are often used in medical research (e.g., to evaluate the effectiveness of a new drug). While such studies are rare in social sciences, suppose you are able to randomly assign individuals to either an MBA or just an undergraduate business degree. Using the omitted variables bias equation, please explain why we would expect to obtain an unbiased estimate of β1, which in this case represents the relationship between getting an MBA and subsequent earnings.

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