Assume that the dummy variables Marriedal if married (0 if not married), Sexstif male (0 if female), and th estimate the equation Hoglwage) le + B,"Married + 8,"Sex + 8,"(Married Sex). The estimated log wage for an unmarried woman can be estimated by: Bo b. B8

John is a talented artist who received an offer to go pro gymnast. He graduated fr V the business school of Talent University with a 4.0 GPA and scored 826 on his MCAT. Having all the needed skills, John is considering a career in any of the following tracks. John collected information related to potential income and cost for his options. Since he is considering average income, John divided his professional career into 5 periods of earning Period 0 Occupation Period 4 Period 1 Period 2 Period 3 Neurosurgeon -20 15 30 Accountant 4 6. 10 12 14 Artist 3. 3. 3. Gymnast 25 10 Assume that John's discount factor d30.85. Find net present value of each career what is the NPV of the most lucrative option. 12:21 AM tScn Home F8 End PgUp F11 F9 F10 Pg Dn F12 Ins 20

You are HR di, ector for a growing law firm in Tampa, Florida, which cu."ently has need of writing 30 legal briefs every hour. Each of your company's attorneys can write on average five briefs per hour. You are consid ring hiring four paralegals to shoulder the load; each pa alegal is a bit slower than the attorneys and can write on average only 2.5 briefs per hour. You scan the current wages in the Tampa area and notice that the attorneys in your company earn the local occupational median wage of $41.64 per hour, but that the prospective four paralegals will likely want to get paid their local occupational median wage of $23.66 per hour. a. Would /our company save money in the writing of the 30 legal briefs by hiring the four paralegals and firing some attorneys? b. The local Tampa Paralegal Union has observed that the Bureau of Labor Statistics projects that employment of paralegals over the next decade will rise considerably faster than the employment of lawyers…

Consider the following regression estimates (FN2) Linear regression belavg abvavg female married _cons b. 1 wage O C. 5 O d. 4 Robust Coef. Std. Err. 3047845 3150202 2820787 -1.063254 .0693348 -2.751963 .9686236 .2612646 6.699098 .2889831 Number of obs F(4, 1255) Prob > F R-squared Root MSE t P>|t| -3.49 0.001 0.22 0.826 -9.76 0.000 3.71 0.000 23.18 0.000 |||||||||| = = .45606 6.132155 = -1.661197 -.5486894 -3.305361 = = [95% Conf. Interval] 1,260 56.35 0.0000 0.1121 4.3987 assume that MLR 1-6 hold. In the regression above, how many coefficients (including the constant) are statistically significant at the 1% level? a. 3 -.4653108 .687359 -2.198565 1.481187 7.266042

The following data give the hourly wage rates (Rands) for a sample of 20 workers selected from a largecompany.12.50 9.45 13.85 7.25 8.70 14.60 11.75 14.50 10.80 12.457.50 15.90 9.75 11.50 13.30 6.25 15.50 12.80 5.35 9.50 (vi) Draw an OGIVE curve corresponding to the data and use it to estimate the median.

am. 115.

Suppose that a consumer cannot vary hours of work as he or she chooses. In particular, he or she must choose between working g hours and not working at all, whereg> 0. Suppose that dividend income is zero, and that the consumer pays a tax Tif he or she works, and receives a benefit b when not working, interpreted as an unemployment insurance payment. a Click the icon to view information about the initial model used here. Consumption, C W29-T w,q-T Leisure, I h-g BE a. If the wage rate increases, how does this affect the consumer's hours of work? What does this have to say about what we would observe about the behaviour of actual consumers when wages change? After the wage rate increases, an individual consumer who originally did not work at all V After the wage rate increases, an individual consumer who originally worked q hours V This suggests that if an economy includes many consumers with many different sets preferences (all satisfying the assumptions of the initial model) and the…

Latest statistics obtained from Board of Engineers Malaysia (BEM) official website states thatthere is currently a total of 14,794 registered Professional Engineers in Malaysia, as shown inFigure 1. This is slightly below 10% of the total Graduate Engineers registered with BEM.Most developed nations have an engineer to population ratio of 1:100, that is 1 engineer forevery 100 persons in the population. This means that there is still a shortage of registeredengineers in Malaysia since our population is approximately 32.7 million.   Discuss the impact of a shortage in registered Graduate Engineers and ProfessionalEngineers to the nation. a) You are required to provide at least three (3) different impactsand include any credible references to support your discussion.b) Recommend at least four methods to increase the number of registered ProfessionalEngineers in Malaysia.(Answer must be at least 1500 words)