Answers: 3
Business, 21.06.2019 23:00
Ajustification for job training programs is that they improve worker productivity. suppose that you are asked to evaluate whether more job training makes workers more productive. however, rather than having data on individual workers, you have access to data on manufacturing firms in ohio. in particu- lar, for each firm, you have information on hours of job training per worker (training) and number of nondefective items produced per worker hour (output). (i) carefully state the ceteris paribus thought experiment underlying this policy question. (ii) does it seem likely that a firm’s decision to train its workers will be independent of worker characteristics? what are some of those measurable and unmeasurable worker characteristics? (iii) name a factor other than worker characteristics that can affect worker productivity. (iv) if you find a positive correlation between output and training, would you have convincingly established that job training makes workers more productive? explain.
Answers: 2
Business, 22.06.2019 16:40
An electronics store is running a promotion where for every video game purchased, the customer receives a coupon upon checkout to purchase a second game at a 50% discount. the coupons expire in one year. the store normally recognized a gross profit margin of 40% of the selling price on video games. how would the store account for a purchase using the discount coupon?
Answers: 3
Business, 22.06.2019 17:40
Within the relevant range, if there is a change in the level of the cost driver, then a. total fixed costs will remain the same and total variable costs will change b. total fixed costs will change and total variable costs will remain the same c. total fixed costs and total variable costs will change d. total fixed costs and total variable costs will remain the same
Answers: 3
Business, 22.06.2019 20:20
Amanager of a store that sells and installs spas wants to prepare a forecast for january and june of next year. her forecasts are a combination of trend and seasonality. she uses the following equation to estimate the trend component of monthly demand: ft = 30+5t, where t = 1 in january of this year. seasonal relatives are 0.60 for january and 1.50 for june. what demands should she predict for january and june of next year
Answers: 2
Suppose the risk-free return is 9%. The beta of a managed portfolio is 1.2, the alpha is 1%, and the...
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