Based on the model from prior questions: I run a regression…
Based on the model from prior questions: I run a regression in stata with the following variables: wage = hourly wage married = dummy variable =1 for married, =0 for nonmarried female = dummy variable =1 for female, =0 for male tenure = number of years on the job tenursq = tenure squared My results are shown below: Table 1. OLS Regression of Wage on Marital Status, Sex, and Tenure Variable Coefficient Std. Error t-value p-value Married (1 = married) 0.784 0.306 2.56 0.011 Female (1 = female) –1.976 0.293 –6.74 0.000 Tenure 0.278 0.052 5.31 0.000 Tenure² –0.0055 0.0019 –2.96 0.003 Constant 5.379 0.306 17.60 0.000 Model Statistics Number of observations: 526 Adjusted R-squared: 0.218 F-statistic: 37.51 (df = 4, 521) Question: What is the interpretation of the relationship between tenure and wages?
Read DetailsOutput Marginal Revenue Marginal-Cost 0 — — 1 $ 16 $…
Output Marginal Revenue Marginal-Cost 0 — — 1 $ 16 $ 10 2 16 11 3 16 13 4 16 17 5 16 21 Refer to the data in the accompanying table. If the firm’s minimum average variable cost is $10, the firm’s profit-maximizing level of output would be
Read DetailsSusie purchased a nonrefundable ticket to a soccer match for…
Susie purchased a nonrefundable ticket to a soccer match for $20. It will cost her $10 worth of gas and wear and tear to drive to the match and $5 to park her car. On the day of the match, Susie’s boss offers her $100 to come to work instead. In considering what to do, which of the above would be considered a sunk cost?
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