1. State whether the following statements are frue, false or uncertain, and justify your answers. a) "Consider the following demand function: y= ax®, where y is the quantity of good W demanded, x is price of good W and a is a constant. This model is non-linear in variablex; therefore, it can be directly estimated by Ordinary Least Squares method. b) "OLS estimators are both linear and unbiased but not the best among the class of linear and unbiased estimators." c) "Ifr between (X, Y) is positive, then r between (-X, -Y) is also positive."
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- 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.Question asked in two parts. Please help with the bolded questions. The demand for a commodity is given by Q = β0 + β1P + u, where Q denotes quantity, P denotes price, and u denotes factors other than price that determine demand. Supply for the commodity is given by Q = g0 + g1P + v, where v denotes factors other than price that determine supply. Suppose u and v both have a mean of 0, have standard deviations su and sv, respectively, and are mutually uncorrelated.a) Solve the two simultaneous equations to show how Q and P depend on u and v.b) Derive the means of P and Q.c) Derive the variance of P, the variance of Q, and the covariance between Q and P.d) A random sample of observations of (Qi, Pi) is collected, and Q is regressed on Pi. (Thatis, Qi is the regressand, and Pi is the regressor.) Suppose the sample is very largei) Use your answers to (b) and (c) to derive values of the regression coefficient.[Hint: Use Equations (4.7) and (4.8) in Stock and Watson’s book.]ii) A researcher…Using regression analysis on data from a field experiment, the demand curve for a product is estimated to be QXd = 1,200 − 3PX − 0.1PZ where Pz = $300. a. What is the own price elasticity of demand when Px = $140? Is demand elastic or inelastic at this price? b. What is the own price elasticity of demand when Px = $240? Is demand elastic or inelastic at this price? c. What is the cross-price elasticity of demand between good X and good Z when Px = $140?
- The REDY Company produces a specialty cement used in the construction of roads. REDY is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f( P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of REDY obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54 1.64 -2.16 0.0357 M…The demand equation for cans of chicken is Qd= 60-3p Suppose the price of a can of chicken increases from $5 to $10. The price elasticity of demand is _________ (use decimals if necessary). We classify this price elasticity of demand as ____ over the $5 to $10 price change. A. Elastic B.Inelastic C.Unit elasticusing picture attached Over the range from $20 to $18, Qd goes from 12 to 17. Using this range of prices and quantities, you should calculate the coefficient of price elasticity of demand. In the box labeled H1, the coefficient of price elasticity of demand is: 3.28 5 3.01 2.97 In box H2, you would interpret the coefficient calculated in the previous question. Therefore, you would characterize this range as: Elastic Unit Elastic Inelastic None of the Above Using the dataset above, if prices increased from $8 to $10, then Total Revenue will: Increase Decrease None of the above
- Using regression analysis on data from a field experiment, the demand curve for a product is estimated to be QXd = 1,200 − 3PX − 0.1PZ where Pz = $300. What is the own price elasticity of demand when Px = $240? Is demand elastic or inelastic at this price? What would happen to the firm’s revenue if it decided to charge a price above $240? Enter your response rounded to one decimal place. Own price elasticity: Demand is: . If the firm prices above $240, revenue will:Suppose that News Corp., which controls the United States’ largest satellite-to-TV broadcaster, is contemplating launching a Spaceway satellite that could provide highspeed Internet service. Prior to launching the Spaceway satellite, suppose that News Corp. used least squares to estimate the regression line of demand for satellite Internet services. The best-fitting results indicate that demand is Qdsat = 152.5 − .8Psat +1.2PDSL + .5Pcable (in thousands), where Psat is the price of satellite Internet service, PDSL is the price of DSL Internet service, and Pcable is the price of high-speed cable Internet service. Suppose that after the FCC’s ruling the price of DSL, PDSL, is $25 per month and the monthly price of high-speed cable Internet, Pcable, is $50. Furthermore, News Corp. has identified that its monthly revenues need to be at least $15 million to cover its monthly costs. If News Corp. set its monthly subscription price for satellite Internet service at $55, would its revenue be…The price p (in dollars) and the quantity xsold of a certain product satisfy the demand equation x = 1500 - 10p (a) Find a model that expresses the revenue R as a functionof the price p.(b) What is the domain of R? Assume R is nonnegative.(c) What unit price should be used to maximize revenue?(d) If this price is charged, what is the maximum revenue?(e) How many units are sold at this price?(f) What price should be charged to collect at least $56,000in revenue?
- The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f (P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54…The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f (P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54…The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f( P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54…