Replication Exercise #2Promotion Policy and Diff-in-diff Estimation1.Read Ahn, T, J Niven, and A Veilleux (2021), How long have you been waiting? Explaining the role of irrelevant...

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Answered 3 days AfterJul 15, 2023

Answer To: Replication Exercise #2Promotion Policy and Diff-in-diff Estimation1.Read Ahn, T, J...

Banasree answered on Jul 18 2023
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Q2.Ans.
Q3.a)Ans.
The authors may have chosen to develop a linear probability model (LPM) rather than a logit or probit model for several reasons. The LPM provides a simple interpretation of the parameters as a small
effect on the probability of growth. It also allows easy comparison of coefficients across different specifications and models. However, the use of LPM also has some limitations. A key point is that LPMs assume frequent marginal effects, which may not hold in practice. This can lead to biased estimates and spurious standard errors. Another disadvantage is that the predicted probabilities from LPMs may fall in the distance [0, 1], which violates the probability limit. In contrast, the logit and probit models use a nonlinear variable in the form of a linear predictor to estimate the probability of controlling the increase. This model accounts for the limits of probability and allows for non-constant marginal effects. Logit and probit models also yield fairly standard errors, especially in dealing with two outcomes. The choice between LPM and logit/probit models depends on the specific research question, the nature of the data, and the appropriateness of assumptions for analysis. For binary outcomes such as growth measures, logit and probit models are often used, because they overcome limitations the application of LPM. However, the authors may have chosen LPM because of its simplicity, ease of interpretation and comparability in their particular research setting.
Q3.b)Ans.
The authors acknowledge that treating the In-Zone (IZ) cohort as the control cohort is technically inaccurate because promotions in the Navy are competitive, and fluctuations in promotion rates provide The Below Zone (BZ) and Above Zone (AZ) officers can affect the promotion opportunities available as IZ officers. However, they still chose to treat the IZ group as a control group for several reasons:
1. IZ police authority: IZ police make up most of the promoted officers (about 90 percent). Thus, changes in the growth rates of BZ and AZ adults will have only a minor effect on IZ growth rates.
2. Impact on IZ Promotion: The number of jobs fixed in promotions limits the number of officers who can be promoted. This suggests that changes in BZ and AZ...
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