hw3 (1)

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Economics

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Apr 27, 2024

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Introduction to Econometrics - Prof. Brendan Kline - UT Austin Homework #3 Problems 1. Wooldridge Chapter 2, Problem 11 2. Suppose that cons is annual total consumption in dollars of purchases made by a family and inc is the annual total income in dollars of that family. First, suppose that cons = β 0 + β 1 inc + u . (Make sure to note that square root of income is the right hand side variable. See also page 40 of the book.) What is the marginal effect of income on consumption according to this model? How does the marginal effect of income on consumption depend on income? (i.e., is the marginal effect of income on consumption an increasing function of income, a decreasing function of income, not a function of income, etc.?) Assume that β 1 > 0. Now, alternatively, suppose that cons = β 0 + β 1 inc + u . What is the marginal effect of income on consumption according to this model? How does the marginal effect of income on consumption depend on income? Assume that β 1 > 0. Briefly, compare your two answers to the question “How does the marginal effect of income on consumption depend on income?” What is the main difference between the two answers, depending on whether cons = β 0 + β 1 inc + u or cons = β 0 + β 1 inc + u ? Hint: remember that a marginal effect is basically a derivative, so the easiest way to answer this is to take derivatives with respect to inc . Computer exercises ( Important note: submit your written answers, and also in di cate in your an swer the Stata com mand(s) you used.) 3. Wooldridge Chapter 2, Computer Exercise C2 In addition answer the following: (iv) Suppose that CEO tenure is measured in months rather than years. Gener- ate this new variable ceotenmonths by using the command generate ceotenmonths = 12*ceoten . Estimate the simple linear regression model log( salary ) = β 0 + β 1 ceotenmonths + u. (v) How does the slope coefficient on ceotenmonths compare to that on ceoten from part (iii)? Does that make sense? (vi) How does the R -squared from the regression in part (iv) compare to that from part (iii)? Does that make sense? Comment: “Tenure” refers to time as company CEO. Also, in part (iii) and other questions this semester where it says to “report your results in the usual
Introduction to Econometrics - Prof. Brendan Kline - UT Austin form” you can just write out the numerical values of ˆ β 0 and ˆ β 1 you get from Stata. Hint: Remember that the Stata command for estimating a regression model is regress y x , where y is the name of the y variable and x is the name of the x variable. You might also find the tabulate command useful for part of this question. Remember that you can use generate logsalary = log(salary) to make the log( salary ) variable. Important note: on the following pages, the Stata commands and Stata output corresponding to this computer exercise are provided. It is provided so that you can double check (before submitting your homework) that you have used Stata correctly. You will still need to interpret the Stata output and submit your written answers to the questions. The Stata commands and Stata output corresponding to the other computer exercises are not provided. 4. Wooldridge Chapter 2, Computer Exercise C3 In addition answer the following: (iii) What does the value of the R -squared mean? 5. Wooldridge Chapter 2, Computer Exercise C6 Hint: Particularly for part (ii), note that math 10 is already a rate (i.e., is al- ready measured in percentage points). In part (v), “fitted values” is “predicted values” from class (see the formula numbered as equation 2.20 in the book).
Introduction to Econometrics - Prof. Brendan Kline - UT Austin Stata commands and output for Computer exercise 3. (i) . summarize salary ceoten Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- salary | 177 865.8644 587.5893 100 5299 ceoten | 177 7.954802 7.150826 0 37
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