Arnold and helga decide to start selling homemade jewelry on etsy to earn some extra income. however, the materials they use are expensive, and it takes them a long time to finish each piece of jewelry because they bicker about how it should look. in short, their process is not efficient. their daughter phillipa suggests that they design the pieces before they start making the jewelry to increase their productivity. they are able to make the jewelry more quickly and decrease their average total cost of production. when arnold and helga are able to expand the size of their operation, they are able to experience –.

In each of the following, what happens to the unemployment rate? does the unemployment rate give an accurate impression of what’s happening in the labor market? a.esther lost her job and begins looking for a new one.b.sam, a steelworker who has been out of work since his mill closed last year, becomes discouraged and gives up looking for work.c.dan, the sole earner in his family of 5, just lost his $90,000 job as a research scientist. immediately, he takes a part-time job at starbucks until he can find another job in his field.

David consumes two things: gasoline (g) and bread (b). david's utility function is u(g, b) = 10g^0.25 b^0.75. use the lagrange technique to solve for david's optimal choices of gasoline and bread as a function of the price of gasoline, p_g, the price of bread, p_b, and his income m. with recent decrease in the price of gasoline (maybe due to external shock such as shale gas production) does david increase his consumption of gasoline? for david, how does partial differential g/partial differential p_g depend on his income m? that is, how does david's change in gasoline consumption due to an increase in the price of gasoline depend on his income level? to answer these questions, find the cross-partial derivative, |partial differential^2 g/partial differential m partial differential p_g.

Asupermarket has been experiencing long lines during peak periods of the day. the problem is noticeably worse on certain days of the week, and the peak periods are sometimes different according to the day of the week. there are usually enough workers on the job to open all cash registers. the problem is knowing when to call some of the workers stocking shelves up to the front to work the checkout counters. how might decision models the supermarket? what data would be needed to develop these models?