Scenario 38-2. Consider the following OLS model applied to the data on workers salaries and years of job tenure:SALARY = -500.4+ 103.75 x YEARS, + -(80.3)(7.35)Refer to Scenario 38-2. Suppose that some workers are more capable than others, which is not easily measurable. If ability and years of tenure are not correlated, then0000researchers will need to use workers' parents education as a confounding variable.the estimates OLS makes will be unbiased.researchers will need to use workers' age as a confounding variable.the estimates OLS makes will be biased.

In the given scenario, if some workers are more capable than others but this capability is not…

Answered: Scenario 38-2. Consider the following…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Consider the population regression of log earnings [Y;, where Y,= In(Earnings,;)] against two binary variables: whether a worker is married (D₁, where D₁;= 1 if the th person is married) and the worker's gender (D2;, where D₂;= 1 if the th person is female), and the product of the two binary variables Y₁ = Po+B₁D₁+P₂D2i + P3 (D₁¡ × D₂i) + Hi- The interaction term: O A. indicates the effect of being married on log earnings. B. does not make sense since it could be zero for married males. C. allows the population effect on log earnings of being married to depend on gender. D. cannot be estimated without the presence of a continuous variable.
Suppose we are interested in evaluating the impact on wages of being a college graduate and of residing in California. To this end we define the following dummy variables if college graduate if not college graduate coll = ncoll = if not college graduate if college graduate 1 cali = if residing in California S 1 if not residing in California ncali = if not residing in California if residing in California and for wages denoting yearly wages, we estimate the following model of returns to education wages = B1 coll+ B2ncoll + B3 cali + B4(coll x cali) + e where E[e|coll, cali] = 0. Which parameter or combination of parameters measures the increase in expected wages from obtaining a college degree (comparing to not having a college degree) when residing California? O a. None of the other options is correct O b. Bi – B2 O c. B1 – B2 + ß4 O d. B4 O e. Bi + B3 – ßi – B4 O f. Bi + B4 – ß2 – B4 Clear my choice
The question is the last bolded test. You need the previous questions to answer the last. Thank you for your time and help. You are the manager of a firm that sells CR2032 batteries for car key fobs and other electronic goods. You typically sell the fobs for $7 for a four-pack and sell an average of 27,192 four-packs per month. Due to increased labor costs, you decide to raise the price to $9 per four-pack. When you do this your monthly sales fall to 22,248 four-packs Assuming that your firm’s demand function is linear (i.e., takes the form ), calculate the linear demand function 22,248-27,192/9-7= -4944/2= -2472 Demand equation as 27,192 = a-2472(7) => a=27192+17304 =>a=44,496 27192= -2472x7+b 27192= -17304+b 27192+17304=44,496 Demand function is Q= -2472P+44,496 . Using the demand function that you estimated in the previous problem Calculate demand and total revenue when the price is $7 Q= -2472x7+44,496= -17,304+44,496= 27,192 Total revenue=PxQ=7x27,192=…
How would you describe this data?
What are the main models for analyzing quasi-experiment data? Please briefly describe the main ideas and differences between these models.
Describe the recommended approach towards determining model specification.How does the R2 help in determining an appropriate model? Is theideal model the one with the highest R2? Should a regressor be included in the model if it increases the model R2?
One study presented in the text calculated the cost per life-year saved for various medical interventions. For each of the scenarios that follow, determine whether the scenario represents diminishing marginal product of medical care. If it does, determine whether the diminishing marginal product is on the extensive or intensive margin. Please completely explain your answer to each scenario. a) Intervention: Pap Smear, Starting at the Age of 20, Continuing to 74. Every 3 years, compared to not screening: Cost per life year saved = $36,017 Every 2 years, compared to every 3 years: Cost per life year saved = $711,671 b) Intervention: Hypertension Screening 40-year-old males: Cost per life year saved: $41,279 40-year-old females: Cost per life year saved: $63,333
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)
Scenario 38-1. Consider the following OLS model applied to the data for workers wages and years of schooling, where e; stands for the residual: WAGE = -10.7+3.16 x SCHOOL + e. (20.7) (1.35) Refer to Scenario 38-1. Suppose that the residual term has a zero mean and is uncorrelated with the independent variable. According to the estimated model, each year of schooling decreases a worker's wage by $3.16. 000 decreases a worker's wage by $10.7. increases a worker's wage by $3.16. increases a worker's wage by $10.7.

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