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- What is the dependent and independent variable when the household-level annual demand of water is modeled? water demand water generation for households price of relevant inputs price of water What theory is this economic phenomenon? Demand or Consumption utility theoryWhat is the effect on MPE, if there is an increase in a) MPC b) MPS c) MPM d) MTRA TV channel has estimated the demand for its service to be givenby the following function: Q=9.83p-1.2A2.5Y1.6P0-1.4whereQ = monthly sales in unitsP = price of the service in $A = promotional expenditure in $’000Y = average income of the market in $’000P0 = price of ‘home movies’ in $ The current price of the TV channel is $60, promotional expenditure is$120,000, average income is $28,000, and the price of ‘homemovies’ is$45.Indicate whether the following statements are true or false, givingyour reasons and making the necessary corrections h. Current sales are over a million units a month. i. The demand curve for the channel is given by:Q=9.83p-1.2j. The channel’s sales are more affected by the price of ‘home movies’ than by the price of its own service.k. If the channel increases its price this will reduce its profit.
- The following table shows worldwide sales of a certain type of cell phone and their average selling prices in 2012 and 2013. Year 2012 2013 Selling Price ($) Sales (millions) 928 1,144 375 335 (a) Use the data to obtain a linear demand function for this type of cell phone. (Let p be the price, and let q be the demand). q(p): -5.4p + 3185 X Use your demand equation to predict sales if the price is lowered to $255. 1808 x million phones (b) Fill in the blank. For every $1 increase in price, sales of this type of cell phone decrease by 5.4 million units.TABLE 12.1 | Two Stage Least Squares Estimates of the Demand for Cigarettes Using Panel Data for 48 U.S. States Dependent variable: In(Qfte) – In(Qfte) cigarettes Regressor (1) (2) (3) In(Peisarettes) - In(Pçigarettes -0.94** -1.34** -1.20** i,1995 i,1985 (0.21) (0.23) (0.20) In(Inc;1995) – In(Inc;1985) 0.53 (0.34) 0.43 (0.30) 0.46 (0.31) Intercept -0.12 -0.02 -0.05 (0.07) (0.07) (0.06) Both sales tax and Instrumental variable(s) Sales tax Cigarette-specific tax cigarette-specific tax First-stage F-statistic 33.70 107.20 88.60 Overidentifying restrictions J-test and p-value 4.93 (0.026) These regressions were estimated using data for 48 U.S. states (48 observations on the 10-year differences). The data are described in Appendix 12.1. The J-test of overidentifying restrictions is described in Key Concept 12.6 (its p-value is given in parentheses), and the first-stage F-statistic is described in Key Concept 12.5. Individual coefficients are statistically significant at the *5%…21:15 ןווa Instagram WhatsApp Image 20... Energy Resources: Indicate which statements are true and which are false Researchers in the petroleum industry believe that, from a technological standpoint, up to an additional 80% of the oil initially in a reservoir might be extractable by enhanced-recovery methods. • False Among industrialized nations worldwide, there is an apparent inverse correlation between gasoline price and gasoline consumption. + True
- Q. 4. Determine and discuss the impact of diesel prices on fuel revenues and the impact of gasoline prices on fuel revenues. What is the relationship between meal prices and meals? Define, measure, and discuss the price elasticities. HINT: Find price elasticity of demand by multiplying the slope of the regression line from Excel by the mean real price then divide by the mean quantity demanded.Part C 3. The manager of a certain gasoline station wants to forecast the demand for the unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The manager has accumulated the following data demand for unleaded gasoline from sales during the past eight months. Month Gasoline Demanded (gallons) Mar 900 Given that the forecast for March is 920. Apr 755 May 650 Jun 550 Jul 625 Aug 730 Sept 820 Oct 1 100 a. Compute the exponential smoothed forecast for the demand from April to November. Use a = 0.25. b. Compute the exponential smoothed forecast for the demand from April to November. Use a = 0.45. c. Plot the actual demand and the forecasts determined in part a and b on the same graph and compare them. d. Make a comparative analysis out of your answers in the plotted data. (3-5 sentences)Discuss the six approaches to explaining consumption behaviours. (Include graphs andequations where necessary)
- Assume that a retailer sells 1000 six packs of Pepsi per day at at $3./6pk. You, as an economic analysis , estimate that the cross price elastcity between pepsi and coca cola is 0.4. If the retailer raises the price of coca cola by 10%, how would sales of pepsi be affected, ceteris paribus, whyConsider the following table, which shows a household's disposable income and consumption expenditures. All values are expressed in dollars. Compute the marginal and average propensities to consume for each level of income and fill in the table. (Round your responses to two decimal places) Disposable Income (Y) 0 300 600 900 1,200 1,500 Desired Consumption (C) 420 660 900 1,140 1,300 1,620 MPC-ACIAY NA APC = C/Y₂ NA2. After a careful statistical analysis, the Chidester Company concludes the demand function for its product is Q = 500 - 3P + 2Pr + 0.1Iwhere Q is the quantity demanded of its product, P is the price of its product, Pr is the price of its rival’s product, and I is per capita disposable income (in dollars). At present, P = $10, Pr = $20 and I = $6,000.a. What is the price elasticity of demand for the firm’s product?b. What is the income elasticity of demand for the firm’s product?c. What is the cross-price elasticity of demand between its product and its rival’s product?d. What is the implicit assumption regarding the population in the market?