Consider the following two models relating wages and education: Model 1 wage Bo + Bieduc + B2 educ² + u where and R2 -0.393 R2 0.048 Model 2 log (wage) Bo + Bieduc + B2 educ² + u where R2=0.432 -0.009 R²
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- A male oriented jeans manufacturer is interested in designing and marketing jeans exclusively designed for women. In this case, the primary segmentation variable the jeans manufacturing is using is: A Gender В Age C Race D Usage rateConsider the following regression estimates (ID6) Source Model Residual Total wage educ exper exper2 _cons inverse u-shaped SS C. linear d. exponential 1927.87673 5232.53756 7160.41429 df -.0046123 -3.96489 642.625576 3 522 10.0240183 525 Coef. Std. Err. .5953429 .0530251 .268287 .0368969 .000822 .7521526 MS 13.6388844 Number of obs F(3, 522) Prob > F R-squared Adj R-squared Root MSE t P>|t| 0.000 11.23 7.27 0.000 -5.61 0.000 -5.27 0.000 = .4911741 .1958023 -.006227 -5.442508 = = = 526 64.11 0.0000 0.2692 0.2650 3.1661 [95% Conf. Interval] .6995118 .3407717 where wage is hourly wage in US$, educ is years of education, exper is years of work experience and exper2 is experience squared (exper* exper). According to these estimates, what is the functional form of the relationship between experience and predicted wage when we hold education constant? a. u-shaped b.i -.0029975 -2.487272P Take a Test - Panela Kancefwere Personal - Microsoft Edge A https/www.mathxl.com/Student/PlayerTest.aspx?testid-2339589008centerwin 2021FL ECON-2301-20005 (T Th 08:00 AM-09:20 AM) Pamela Kamdefwere & 09/25/2112:36 = Test: Exam 1 Question 3 This Test: 64 pts possible Submit Tes st If the current market price is $25, the market will achieve equilibrium by 50- O A. a price increase, increasing the quantity supplied and decreasing the quantity demanded, 45- O B. a price decrease, decreasing the supply and increasing the demand. 40- O C. a price decrease, decreasing the quantity supplied and increasing the quantity demanded. 35- 30- O D. a price increase, increasing the supply and decreasing the demand. 25 20- 15- 10- 5- 0- 100 200 300 400 500 600 700 800 900 1000 1100 Quantity O Time Remaining: 01:24:39 Next 11:59pm Pearcon ($) aoud
- 3. Boyoung is writing a paper about the effect of Sunday liquor sales on drunk driving. She has panel data on which states allow liquor to be sold on Sunday in which years and wishes to estimate a difference-in-differences model. She writes the following regression equation: Year DUIRate;; = atate +a? + BTreatmentt +yControl;t + Eit i Which of the following changes does Boyoung need to make? a) She should include a constant in the regression equation. b) She should not include controls because they're already accounted for by fixed effects. c) She should include a time trend instead of time-fixed effects. d) None of the above are changes she needs to make.Assume that the dummy variables Marriedal if married (0 if not married), Sex=1if male (0 if female), and that you estimate the equation: loglwage) le + B,'Married + B'Sex + B,(Married Sex). The estimated log wage for an unmarried woman can be estimated by: BoThe following equation has been used to estimate wages: ln (Y) = ln (Yo) + b2EDU + b3 EXPER + b4 EXPER2 + e where Y is income, Y0 is income of someone with no education or experience, EDU is years of education and EXPER is experience in the field. If you suspect males earn higher wages than females and that the wage difference increases with education how would you adjust the econometric model to estimate wages? OPTIONS - a. include a binary variable for gender, MALE b. include an interaction term equal to MALE* EDUC c. include an indicator variable for MALE and one for FEMALE d. include a binary variable for MALE and an interaction term equal to MALE * EDUC
- In the Managerial Solution, we estimated a focus group's demand curve for iTunes downloads. The estimated coefficient on price was-413, and the 1-statistic was -12.8. nage d coe ndard Using these values, what is the standard error of this estimated coefficient? est The standard error of the price coefficient is (Enter your response rounded to two decimal places) Suppose we had another focus group sample, ran a regression on that sample, and obtained the same coefficient on price but with a standard error five times as large What can you say about the statistical significance of the price coefficient in this second sample? rt A The price coefficient would be statistically significantly different than zero at the 0.05 confidence level Sulag 50,00 t-Val Stan would be would not beSuppose a researcher is using a panel data set on n = 10,000 workers over T = 20 years (from 2000 through 2019) that contains the workers’ earnings, sex, education, and age. The researcher is interested in the effect of education on earnings. Give some examples of unobserved person-specific variables that are correlated with both education and earnings. Can you think of examples of time-specific variables that might be correlated with education and earnings? How would you control for these person-specific and time-specific effects in a panel data regression?Below is a chart showing the Labor Force Participation rate for 15-64 year olds in the U.S. vs. Japan (called the 'Activity Rate' in the OECD data). Based on this chart, answer the questions below: FRED Actvity hate Aged 158 AN Persans r the thot Stanos Actvity RateAged 15 AN Persans for Apar 22 2002 2004 2006 010 2012 20 Sdng areas ndicale US recessioHIS Source Orgazation for Economc Co operaion and Develpment med souisled.org a) How could these trends in thé US & Japanese Labor Force Participation (LFP) rates impact per capita real GDP growth rates in their respective countries (i.e. in the U.S & in Japan)? Are there any factors which could mitigate the impact of these LFP trends on growth? b) What factors are likely to impact the trends in U.S. and Japanese LFP in the next year? Over the next 10 years?
- Suppose the researcher considers the following model : Wage = Bo+B,Female + u, and runs OLS, using wage data on 250 randomly selected male workers and 280 female workers. The researcher has obtained the estimated equation as Wage = 15 (1.00) 3 Female, R = 0.05. (0.5) In the equation, Wage is measured in dollars per hour, Female is a binary variable that is equal to 1 if the person is a female and O if the person is a male. The numbers in the parentheses are the standard errors of the coefficients. Which Statement is NOT correct? The coefficient of Female, -3.00, is statistically significant at 5%. O The p-value for the test that Ho: B = 0, H : B 0 is less than 0.05. This regression may suffer omitted variable bias. R Since insignificant. is too low, the wage difference between men and women is The researcher can increase R- by including more regressors in the model.Explain, what, why, how retail sales is used to gauge Econ healthSuppose that in a linear regression model hourly wages are explained as a function of gender, where the dummy variable female takes on a value of 1 if the worker is a female and O otherwise: SRL : wâge 25 + 2 * female Which interpretation(s) are correct for this SRL? An additional female worker increases hourly wages by 2 dollars on average. Men earn on average 25 dollars per hour. Women earn on average two dollars more per hour than men. Women are the baseline group.