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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.

A) plot the m1 and m2 money stock in the us from 1990-2015. (hint: you may use the data tools provided by fred.) (b) plot the nominal interest rate from 1960 to 2014. (hint: you can either use the daily interest rates for selected u.s. treasury, private money market and capital market instruments from or the effective federal funds rate fromfred.) (c) the consumer price index (cpi) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. intuitively, the cpi represents the cost of living or the average price level. plot the cpi from 1960 to 2013.(d) the inflation rate is the yearly percentage change in the average price level. in practice, we usually use the percentage change in the cpi to compute the inflation rate. plot the inflation rate from 1960 to 2013.(e) explain the difference between the ex-ante and ex-post real interest rate. use the fisher equation to compute the ex-post real interest rate. plot the nominal interest rate and the ex-post real interest rate from 1960 to 2013 in the same graph.

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]