As an economist, you have been doing a project trying to estimate the willingness-to-accept risk on the part of workers. you have gathered data on a variety of blue-collar occupations, ranging from clerical work to truck driving to coal mining. controlling for age, gender, education, work experience and race, you have uncovered the following relationship: a. what is your estimate of the "value of a statistical life"? what does this mean? b. why might this value be a poor estimate of the value placed on lives saved from pollution reduction? (three reasons)

Policymakers are provided data about the private and social benefits of a good being sold in the market. quantity private mb ($) social mb ($) 6 6 9 7 4 7 8 2 5 9 0 3 what is the size of the externality? if the externality is positive, enter a positive number. if negative, make it a negative number. $ given this data, policymakers must decide whether to address the associated externality with a subsidy or a tax. as their economic consultant, which of the two policy tools would you recommend? a subsidy a tax

Afirm that makes electronic circuits has been ordering a certain raw material 250 ounces at a time. the firm estimates that carrying cost is i = 30% per year, and that ordering cost is about $20 per order. the current price of the ingredient is $200 per ounce. the assumptions of the basic eoq model are thought to apply. for what value of annual demand is their action optimal?

Recently, verizon wireless ran a pricing trial in order to estimate the elasticity of demand for its services. the manager selected three states that were representative of its entire service area and increased prices by 5 percent to customers in those areas. one week later, the number of customers enrolled in verizon's cellular plans declined 4 percent in those states, while enrollments in states where prices were not increased remained flat. the manager used this information to estimate the own-price elasticity of demand and, based on her findings, immediately increased prices in all market areas by 5 percent in an attempt to boost the company's 2016 annual revenues. one year later, the manager was perplexed because verizon's 2016 annual revenues were 10 percent lower than those in 2015"the price increase apparently led to a reduction in the company's revenues. did the manager make an error? yes - the one-week measures show demand is inelastic, so a price increase will decrease revenues. yes - the one-week measures show demand is elastic, so a price increase will reduce revenues. yes - cell phone elasticity is likely much larger in the long-run than the short-run. no - the cell phone market must have changed between 2011 and 2012 for this price increase to lower revenues.