Which of the following is the correct economic interpretation below? for the model LogQD = 9.5 0.05price a. For every one percent decrease in price, demand increases by 5 percent b.For every one unit increase in price, demand increases by 5 percent c. For every one dollar increase in price, demand decreases by 5 percent d.For every one percent increase in demand, price decreases by 5 cents
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- Would a reduction in price result in an increase in total revenues? Why? or Why not? Which variables in this regression model are statistically significant at the 95 percent confidence level? Show your work.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.these bottom two are solved I am just struggling with how to graph the consumption function and the breakeven condition for this problem and to Point out the income and consumption values relevant for these problems: 3. The marginal propensity to consume (MPC) is 0.75, which means that households spend 75% of each additional dollar of income. The starvation-level consumption is 6, which means that households will consume at least 6 dollars, regardless of their income. Therefore, the amount that households will save can be found by subtracting their minimum consumption level from their gross income, multiplying the difference by the MPC, and subtracting the lump-sum tax: Savings = (1 - MPC) * (Gross Income - Starvation-level Consumption) - Lump-sum Tax Savings = (1 - 0.75) * (40 - 6) - 10 Savings = 0.25 * 34 - 10 Savings = 1.5 Therefore, households will save $1.5. 3. a) How should the lump-sum income tax change to allow households to save 3? To allow households to save…
- Let the demand and the supply functions for a particular commodity satisfy Qdt =22−3Pt and Qst =−2+Pt−1 where Pt denotes the market price in period t. a) Find the general solution Pt. b) Find the (steady-state) equilibrium price level, and analyze whether it is stable or not.Manning Inc. is the leading manufacturer of garage doors. Demand for residential garage doors depends, of course, on the rate at which new houses are being built, which in turn depends on changes in income per capita. During the past year, Manning sold 10 000 garage doors at an average price of R1 500 per door. In the coming year, disposable income per capita is expected to increase from R32 000 to R34 000. Without any price change, Manning expects current-year sales to rise to 12 000 units. 1. Calculate the arc income elasticity of demand. 2. The company economist estimates that in conjunction with the change in income, if the price of doors is increased by R100, they could sell 11 500 doors. What is the arc price elasticity and what would be the company’s revenue? 3. Should they raise the price even more?Consider the following Model (notation is standard):C=c(y-τ) I=i(r) y = C+I+G Md/P = L(y, r) Md= Ms=My = f(n) n = h(W/P) f´(n) = W/P Calculate the effects of a change in τ on C, I, r, y and P.
- Bell Greenhouses has estimated its monthly demand for potting soil to be the following: N=400+4X where N=monthlydemandforbagsofpottingsoil X=timeperiodsinmonths(March2006=0) Assume this trend factor is expected to remain stable in the foreseeable future. The following table contains the monthly seasonal adjustment factors, which have been estimated using actual sales data from the past five years: Forecast Bell Greenhouses demand for potting soil in March, June, August, and December 2007. If the following table shows the forecasted and actual potting soil sales by Bell Greenhouses for April in five different years, determine the seasonal adjustment factor to be used in making an April 2008 forecast.Consider the binary variable version of the fixed effects model with an additional regressor, D1; that is, let Yit = β0 + β1Xit + γ1D1i + γ2D2i +...+ γnDni + ui.a) Suppose that n = 3. Show that the binary regressors and the “constant” regressor areperfectly multicollinear; that is, express one of the variables D1i , D2i, D3i, and X0it as aperfect linear function of the others, where X0it = 1 for all i,t.b) Show the result in (a) for general n.c) What will happen if you try to estimate the coefficients of the regression by OLS?IS/LM Model refers to the general equilibrium not macroeconomic equilibrium.
- Based on our understanding of the model presented in Chapter 3, we know that an increase in c1 (where C = c0 + c1YD) will cause A) the ZZ line to become steeper and a given change in autonomous consumption (c0) to have a smaller effect on output. B) the ZZ line to become steeper and a given change in autonomous consumption (c0) to have a larger effect on output. C) the ZZ line to become flatter and a given change in autonomous consumption (c0) to have a smaller effect on output. D) the ZZ line to become flatter and a given change in autonomous consumption (c0) to have a larger effect on output.answer with given formulaand complete solution with explanationA firm keeps a record of sales and prices over the past seven months, resulting in the following table: Price (ZMW/ton) Sales (tons) Nov. 1985 7.5 84.5 Dec. 8.0 82.0 Jan. 1986 8.0 84.0 Feb. 7.2 92.0 March 7.0 95.0 April 8.0 92.0 May 8.5 91.5 Use these observations to estimate demand as a linear function of both price and time. Further, utilise this function to estimate demand for the following month, on the assumption that: (a) price remains unchanged, (b) price increases to ZMW9/ton. Hence estimate the price elasticity of demand between these prices and find the price which would maximise sales revenue. Given the nature of the observations, comment on any difficulties in interpreting your results for decision-making purposes.