Question:

Consider a regression model \( y = \beta_0 + \beta x + u \) where the continuous variable \( y \) is regressed on a dummy variable \( x \), which takes the value either 1 or 0. However, the model was estimated using the instrumental variable (IV) estimation method, wherein the indicator variable \( z \) is used as an instrument of \( x \). Let \( \bar{y}_1 \) and \( \bar{y}_0 \) be the sample averages of \( y \) when \( z \) takes the value 1 and 0, respectively. Let \( \bar{x}_1 \) and \( \bar{x}_0 \) be the sample averages of \( x \) when \( z \) takes the value 1 and 0, respectively. Let \( \bar{y}_1 \) and \( \bar{y}_0 \) be the sample averages of \( y \) when \( x \) takes the value 1 and 0, respectively. Let \( \bar{z}_1 \) and \( \bar{z}_0 \) be the sample averages of \( z \) when \( x \) takes the value 1 and 0, respectively. Then the estimated coefficient of \( \beta_{IV} \) is:

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In instrumental variable estimation, the ratio of the differences in the sample averages of the dependent variable \( y \) and the instrumented variable \( x \) gives the IV estimator.
Updated On: Dec 19, 2025
  • \( \frac{\bar{y}_1 - \bar{y}_0}{\bar{y}_1 - \bar{y}_0} \)
  • \( \frac{\bar{y}_1 - \bar{x}_1}{\bar{y}_0 - \bar{x}_0} \)
  • \( \frac{\bar{y}_1 - \bar{y}_0}{\bar{x}_1 - \bar{x}_0} \)
  • \( \frac{\bar{y}_1 - \bar{y}_0}{\bar{z}_1 - \bar{z}_0} \)
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The Correct Option is C

Solution and Explanation

In an instrumental variable (IV) estimation model, we use an instrument \( z \) for the potentially endogenous regressor \( x \). The key idea is to isolate the variation in \( x \) that is exogenous (uncorrelated with the error term \( u \)) by using the instrument \( z \). The coefficient \( \beta_{IV} \) can be estimated using the following formula: \[ \beta_{IV} = \frac{\text{Cov}(y, z)}{\text{Cov}(x, z)} \] This equation is equivalent to the ratio of the difference in sample averages of \( y \) and \( x \) when \( z \) takes different values. Therefore, the formula for \( \beta_{IV} \) is: \[ \beta_{IV} = \frac{\bar{y}_1 - \bar{y}_0}{\bar{x}_1 - \bar{x}_0} \] This matches option (C), which gives the correct expression for the IV estimator. Thus, the correct answer is (C). 
 

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