
Measurement of labor productivity and its effect on the U.S. standard of living.

Explanation of Solution
Labor productivity can be measured as a ratio of the total output to the number of man-hours to produce the output. Labor is the most commonly used resource to measure productivity. Labor productivity is calculated as the total output divided by the hours of labor employed to produce the output. Labor accounts for approximately 70% of total production costs. When an economy builds more capital per worker, labor productivity increases. This causes the standard of living to increase. Along with labor productivity, technology too has an effect on U.S. standard of living. As jobs become more advanced technologically, the ability to achieve results become quicker which leads to increased production of goods and services, thereby resulting in an increase in productivity. The per-worker production function shows the relationship between the amount of capital per worker in the economy and the output per worker. As capital per worker increases, the output per worker also increases but at a decreasing rate. If the population is continuously increasing, there is a requirement for the economy to produce more goods and services simply to maintain its standard of living. If output grows faster than the population, the standard of living increases.
Introduction:
Labor productivity measures the hourly output of a country’s economy. Labor productivity is the rate of output per worker per unit of time. Productivity helps us understand how much each worker produces per hour compared to what each worker is earning to perform the job.
Want to see more full solutions like this?
Chapter 8 Solutions
Econ Macro (book Only)
- Can you please help with this one. Some economists argue that taxing consumption is more efficient than taxing income. Following the same argument, the minister of finance of a country introduced a new tax for sugar based products “sugar tax” to promote healthy eating in the economy. Please use relevant diagrams to explain the impact of the tax on consumers, producers and the tax revenue when sugar is elastic and inelastic.arrow_forwardprofit maximizing and loss minamization fire dragon co mindtaparrow_forwardProblem 3 You are given the following demand for European luxury automobiles: Q=1,000 P-0.5.2/1.6 where P-Price of European luxury cars PA = Price of American luxury cars P, Price of Japanese luxury cars I= Annual income of car buyers Assume that each of the coefficients is statistically significant (i.e., that they passed the t-test). On the basis of the information given, answer the following questions 1. Comment on the degree of substitutability between European and American luxury cars and between European and Japanese luxury cars. Explain some possible reasons for the results in the equation. 2. Comment on the coefficient for the income variable. Is this result what you would expect? Explain. 3. Comment on the coefficient of the European car price variable. Is that what you would expect? Explain.arrow_forward
- Problem 2: A manufacturer of computer workstations gathered average monthly sales figures from its 56 branch offices and dealerships across the country and estimated the following demand for its product: Q=+15,000-2.80P+150A+0.3P+0.35Pm+0.2Pc (5,234) (1.29) (175) (0.12) (0.17) (0.13) R²=0.68 SER 786 F=21.25 The variables and their assumed values are P = Price of basic model = 7,000 Q==Quantity A = Advertising expenditures (in thousands) = 52 P = Average price of a personal computer = 4,000 P. Average price of a minicomputer = 15,000 Pe Average price of a leading competitor's workstation = 8,000 1. Compute the elasticities for each variable. On this basis, discuss the relative impact that each variable has on the demand. What implications do these results have for the firm's marketing and pricing policies? 2. Conduct a t-test for the statistical significance of each variable. In each case, state whether a one-tail or two-tail test is required. What difference, if any, does it make to…arrow_forwardYou are the manager of a large automobile dealership who wants to learn more about the effective- ness of various discounts offered to customers over the past 14 months. Following are the average negotiated prices for each month and the quantities sold of a basic model (adjusted for various options) over this period of time. 1. Graph this information on a scatter plot. Estimate the demand equation. What do the regression results indicate about the desirability of discounting the price? Explain. Month Price Quantity Jan. 12,500 15 Feb. 12,200 17 Mar. 11,900 16 Apr. 12,000 18 May 11,800 20 June 12,500 18 July 11,700 22 Aug. 12,100 15 Sept. 11,400 22 Oct. 11,400 25 Nov. 11,200 24 Dec. 11,000 30 Jan. 10,800 25 Feb. 10,000 28 2. What other factors besides price might be included in this equation? Do you foresee any difficulty in obtaining these additional data or incorporating them in the regression analysis?arrow_forwardsimple steps on how it should look like on excelarrow_forward
- Consider options on a stock that does not pay dividends.The stock price is $100 per share, and the risk-free interest rate is 10%.Thestock moves randomly with u=1.25and d=1/u Use Excel to calculate the premium of a10-year call with a strike of $100.arrow_forwardCompute the Fourier sine and cosine transforms of f(x) = e.arrow_forwardDon't use ai to answer I will report you answerarrow_forward
- Economics (MindTap Course List)EconomicsISBN:9781337617383Author:Roger A. ArnoldPublisher:Cengage Learning
- Exploring EconomicsEconomicsISBN:9781544336329Author:Robert L. SextonPublisher:SAGE Publications, IncPrinciples of Economics 2eEconomicsISBN:9781947172364Author:Steven A. Greenlaw; David ShapiroPublisher:OpenStax





