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)
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.
Suppose you are interested in understanding the causal impact of having an MBA (versus just an un...
Suppose you are interested in estimating how health affects productivity. Specifically, you are interested in the following regression: where Y, is a variable representing the income earned by person i, and X, is a variable representing the health of person i. Income is a fairly straightforward concept to capture. Health, however, is a more complex concept that can be measured in many different ways. For example, body mass index (BMI weight in kilograms, divided by height in meters squared) is...