L Moving to another question will save this response. Question 10 Price Level P3 P2 P₁ Y₁ LRAS Y₂ an increase in taxes a reduction of the money supply revision upward in price expectation rising menu costs Y₂ SRAS₂ AD₁ SRAS₁ Quantity of Output A shift from SRAS1 to SRAS2 might be cuased by which of the following? AD₂
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- Covid-19 backed by Lockdown generated many economic anomalies. The weeklychange in the price of the mask in a town is given below.Time March1 stweekMarch2 ndweekMarch3 rdweekMarch4 thweekApril1 stweekApril2 ndweekApril3 rdweekApril4 thweekMay1 stweek Price(₹)100 150 175 200 200 175 70 50 50Forecast the Expected price of Mask for the 2 nd week of May.Strangely the Actual price of Mask in the city in the 2 nd week of May was 10 rupees.State at least four economic reasons why your calculated Expected price of Mask didnot match the Actual price of Mask.Now assume when the price of the Mask was 200 rupees per unit 5 lakh customersbought it. As the price reduced to 50 rupees only 1 lakh customers bought it.Calculate elasticity of demand and state which laws of economics are violated in thiscase, and how?i will both answers urgent i will 10 upvotesis the world heading for a recession? explain the conditons under which the world can be classified as being in a recession as COVID-19 persists. explain linking the pandemic to the various stages of a recession
- Plz solve in 15 min it's urgent a.) a shift from D2 to D1 in Figure A b.) a shift from D2 to D3 in Figure A c.) a shift from D2 to D1 in Figure B d.) a shift from D2 to D3 in Figure BMetropolitan Hospital has estimated its average monthly bed needs asN = 1;000 + 9Xwhere X = time period (months); January 2002 = 0N = monthly bed needsAssume that no new hospital additions are expected in the area in the foreseeable future. The following monthly seasonal adjustment factors have been estimated, using data from the past five years:MONTH ADJUSTMENT FACTOR (%)January +5April −15July +4November −5December −25a. Forecast Metropolitan’s bed demand for January, April, July, November, and December 2007.b. If the following actual and forecast values for June bed demands have been recorded, what seasonal adjustment factor would you recommend be used in making future June forecasts?YEAR FORECAST ACTUAL2007 1,045 1,0962006 937…A decrease in people's disposable income OA. increases investment demand. B. increases consumption. OC. decreases saving. O D. increases saving and decrease consumption. OE. increases saving. Note:- Please avoid using ChatGPT and refrain from providing handwritten solutions; otherwise, I will definitely give a downvote. Also, be mindful of plagiarism.Answer completely and accurate answer.Rest assured, you will receive an upvote if the answer is accurate.
- Bell Greenhouses has estimated its monthly demand for potting soil to be the following:N = 400 + 4Xwhere N = monthly demand for bags of potting soilX = time periods in months (March 2006 = 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:MONTH ADJUSTMENT FACTOR (%)March +2June +15August +10December −12a. Forecast Bell Greenhouses’ demand for potting soil in March, June, August, and December 2007.b. 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.YEAR FORECAST ACTUAL 2007 500 515 2006 452…New answerrrrcccDemand function: Qdt = 160 − 0.8PtSupply function: Qst = -20 + 0.4Pt−1and when P0 = 160a) A good should be designed in accordance with demand and supply,The equilibrium price is 160. Find the time path of the equilibrium price of this good.b) Comment on the use of this time path. Draw the passage of the time path.
- A4 An important element in successful capacity planning is effective demand forecasting. If you were tasked with forecasting the exact number of iPhones to be sold in Brazil in 2022, how would you do this accurately? Explain.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.Yd Consumption Expenditure $ 0 $ 4,000 $ 10,000 $ 12,000 $ 20,000 $ 20,000 $ 30,000 $ 28,000 $ 40,000 $ 36,000 $ 50,000 $ 44,000 a. Determine break-even level of income b. Determine autonomous consumption