What are the values of P1, P2, Q1, Q2 given the two commodity demand and supply model: Qải = 18 – 3P, + P2 Qs1 = -2 + 4P Qd2 = 12 + P - 2P2 Q2 =-2+ 3P2 Select one: 10 00
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- A major South African city generates electricity and sells it to its consumers. The city faces competition from independentrenewable power producers who also have licences to sell electricity to the public. The city however has cost advantagesdue to its size, but it is concerned of the political and economic ramifications of raising its tariffs, in these uncertaineconomic times. As a result, it is highly likely that tariffs will remain unchanged over the next financial year. The city’smarginal revenue is given as R3 000, and its costs are given as follows:TC = R82 000 + R1 000 + 0.01q2 MCMC= R1 000 + R0.02q4.1 Assess the efficiency arguments in favour of and against the renewable energy generation in SouthAfricaLet the following demand and supply equations be respectively:D = 5p ́ ́-4p ́ + 11S = 6p ́ ́-2p ́ + 5p-4Find p (t) with the hypothesis that the market is in equilibrium with the conditionsinitials p (0) = 4 and p ́ (0) = 7Wharton Econometric Forecasting, LLC has been hired to analyze demand in 30 regional markets for Product Y, a major item. A statistical analysis of demand in these markets shows (standard errors in parentheses): QY = 26,950 − 450P + 220PX + 0.08A + 0.01I (11,000) (150) (180) (0.3) (0.05) R2 = 0.95 Standard Error of the Estimate = 10 Here, QY is market demand for Product Y, P is the price of Y in dollars, A is dollars of advertising expenditures, PX is the average price in dollars of another (unidentified) product, and I is dollars of household income. In a typical market, the price of Y is $100, PX is $70, advertising expenditures are $50,000, and the average family income is $60,000. 1. Which variables in this regression model are statistically significant at the 95 percent confidence level? Show your work.
- Wharton Econometric Forecasting, LLC has been hired to analyze demand in 30 regional markets for Product Y, a major item. A statistical analysis of demand in these markets shows (standard errors in parentheses): QY = 26,950 − 450P + 220PX + 0.08A + 0.01I (11,000) (150) (180) (0.3) (0.05) R2 = 0.95 Standard Error of the Estimate = 10 Here, QY is market demand for Product Y, P is the price of Y in dollars, A is dollars of advertising expenditures, PX is the average price in dollars of another (unidentified) product, and I is dollars of household income. In a typical market, the price of Y is $100, PX is $70, advertising expenditures are $50,000, and average family income is $60,000. Use the estimated demand function to calculate the expected value of QY in a typical market. Calculate the 95% confidence interval within which you would expect to find actual values of sales.…AD has estimated the following demand relationship for its product over the last four years, using monthly observations: ln Qt = 4.932- 1.238 ln Pt + 1.524 ln Yt-1 + 0.4865lnQt-1(2.54) (1.38) (3.65) (2.87)R2= 0.8738where Q = sales in units, P = price in Rs., Y is income in Rs,000, and the numbers in brackets are t-statistics.a. Interpret the above model.b. Make a sales forecast if price is Rs. 9, income last month was Rs. 25,000 and sales last month were 2,981 units.c. Make a sales forecast for the following month if there is no change in price or income.d. If price is increased by 5 per cent in general terms, estimate the effect on sales, stating any assumptions.The demand function for good X is ln Qdx= a + b ln Px + c ln M + e, where Px is the price of good X and M is income. Least squares regression reveals that â = 7.42, b ˆ = −2.18, and ĉ = 0.34. a. If M = 55,000 and Px = 4.39, compute the own price elasticity of demand based on these estimates. Determine whether demand is elastic or inelastic. b. If M = 55,000 and Px = 4.39, compute the income elasticity of demand based on these estimates. Determine whether X is a normal or inferior good.
- As a manager of a small software retailing company, you are concerned with projected profit next year. While profit can be determined as the difference between sales and maintenance cost, or in symbols, P = S - M, where P is profit, S is sales, and M is maintenance cost including technical support. It is argues that when sales goes up so does maintenance cost because the cost of technical support will go up. Further, it is measured that the correlation between S and M is 0.8. Now given the figure that sales next year is expected to be $300 thousand with standard deviation of $4 thousand and maintenance cost is expected to be $150 thousand with standard deviation of $6 thousand, what would be the expected profit and its standard deviation you will include in your report?Explain how RPM can be used to increase retailer demand for inventories and thereby increase manufacturer profit. Explain whether profitable RPM can either increase or decrease welfare and how this depends on the variation in demand. Use diagrams and verbal explanation to explain your answer. Demonstrate the profit and welfare consequences of RPM by solving the 'RPM and Inventories Model' model done in class for the parameter value indicated below. RPM and Inventories Model Manufacturer MC = 0, Dealer MC = 0, Low and high demand are equally likely Low demand: qL = 1 - pL, High demand: qH = S(1 - pH) Parameter value: S = 4Demand for Orange Juice is given as Qd = 5000-2500 P + 1200 I +650E - 255 PS Suppose Income is I = Rs.500, Expectations E = 55, and Price of Ps= Rs 25. Find the Demand Equation. b. Using the demand function from part a., Calculate Elasticity of Demand for price range of Rs.125 and Rs. 155. What will be the 'Price Elasticity of Demand at P = Rs.125? d Interpret the Elasticity of Demand calculated in (C) above.
- Using Excel, Big Poppa's estimates the weekly demand function for its BBQ sandwiches to be QD = 1,385.63 - 22.30P. In reference to the estimated slope coefficient for price, which of the following standard errors gives you the most confidence (i.e., largest t-statistics) that the estimated slope coefficient is close to the true slope coefficient? 37) _____ A) -22.0 B) 2.15 C) 1.12 D) 22.0 Could you put some explanations please.(Q1) Many software companies, after years of providing unlimited free telephone technical support for their products, began to charge for these services (typically after an initial start-up period of 90 days). Most companies offer two pricing plans. For instance, Lotus Development offers users of their spreadsheet software the option of paying either (i) $2.00 per minute for telephone support or (ii) a $129 flat charge for a year of unlimited toll-free calls. Question 1: Consider a customer with a yearly (expected) demand for service support of P = 11 – 0.1Q, where P is the price per minute and Q is the number of minutes of calls made per year. How many calls would this customer make under plan (i)? Why? How many calls would he or she make under plan (ii)? What would be the annual cost to this customer under each plan? Explain your answer. Question 2: Which plan would this customer choose? Explain your answer.Apply the properties of functions to correctly determine and interpret the break-even point in the following situations, using valid mathematical procedures and correct mathematical notation. Express your answer in terms of the context of the problem. The supply and demand equations for a certain product are: (1) and (2) respectively, where p represents the price per unit in dollars and q, the number of units sold per period. 3q - 200p + 1800 = 0 3q + 100p - 1800 = 0 Algebraically find the equilibrium price. Find and interpret the equilibrium price when a supplier tax of 27 cents per unit is imposed.