Illustration 13.18. Show. that the Fisher's Ideal Index satisiesboth the time reversal and factor reversal test. Use the data givenbelow:19701972Commodily"PriceQuantityPriceQuantityA6501056B2100120C4606.6010301224E401236CS Scanned with CamScanner

Answered: Image /qna-images/answer/04ad9bb5-85b0-4768-9adf-56d7930fdd07.jpg

Answered: Illustration 13.18. Show. that the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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e 48 The seasonal indices of the sale of ready-made garments of a parti- cular type in a certain store are given below : Quarter I Jan.-March II April-June III July-Sept. IV Oct.-Dec. Seasonal Index 98 89 82 130 If the total sales in the first quarter of a year be worth Rs. 10,000, determine how much worth of garments of this type should be kept in stock by the store to meet the demand in each of the remaining quarters.
Poola opBren Miami Central son:. 16. 15. (3500, 460) 1000 450 (3,860). 900 400 800 350 700 * 300 (1000, 310) 600 250 (8, 585) 500 200 400 150 100 300 50 200 100 1000 2000 3000 4000 0 1 2 3 4 5 6 7 8 9 Pages printed Time (months) 17 greatest slope Snent appear to be the steepest e graph? Cost ($)
8
Q.2. Below are the commodity data. In the row for one of the commodity named "Toothpaste", their "Quantity" the cell “X" replace with your last two digits of your ID card number. (a) Determine Laspeyers' price index and Laspeyer's quantity index. (b) Determine the Paasche price index. (c) Determine Fisher's ideal index January 2020 Price ($) January 2020 Quantity 99 January 2021 Price ($) January 2021 Quantity X Commodity Toothpaste Shampoo Cough tablets Antiperspirant 4.29 5.49 4.45 4.29 6.29 3.79 4 5.67 4 4.89 6.
Describe the patterns in quantity sold and own and rival prices during this time period using basic descriptive statistics. Graphs are welcome as well. Take the logs of the variables, and estimate the demand function. Interpret the R-square. Interpret the coefficients for logP and logPsub Interpret the p-values associated with each independent variable Are consumers price sensitive? Why or why not? (be as precise as you can – you have estimates!). Does this price sensitivity make sense given the good we are examining? How sensitive are our consumers to changes in the rival good’s price? Explain in detail. Suppose we decide to charge a per ounce price of $2, while at the same time our rival charges a price of $2.15. All else equal, what would you expect sales to be? How confident are you in your forecast? Suppose we are charging a price of $2 and our current marginal cost is $1.50 Are we maximizing profits at this price? If not, should we raise or lower price? Why?
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The following table reports prices and usage quantities for two items in 2009 and 2011. (Round your answers to the nearest integer.) Quantity Unit Price ($) Item 2009 2011 2009 2011 A 1,400 1,700 8.50 6.75 B 4 2 630.00 1,400.00 (a) Compute price relatives for each item in 2011 using 2009 as the base period. Item Price Relative A B (b) Compute an unweighted aggregate price index for the two items in 2011 using 2009 as the base period. I2011 = (c) Compute a weighted aggregate price index for the two items using the Laspeyres method using 2009 as the base period. I2011 = (d) Compute a weighted aggregate price index for the two items using the Paasche method using 2009 as the base period. I2011 =
Snape made a deposit of $495 into an account that pays 3% interest compounded annually. How much money is in the bank after 3 years?
a. Please answer this also on MINITAB. In 4 decimal places. Do not return my question. Let someone help me.
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2009 Seafood 2000 Qty. (lb) Price ($/lb) Price ($/lb) Halibut 75,190 2.01 2.43 Lobster 83,180 3.72 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna L (b) decimal place.) pute a weighted aggregate price index for the seafood catch. (Round your answer to 2009 = Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have increased by % over the 9-year period according to the index.
Illustration 13.1. Construct index numbers of prices from the following data using (a) Laspeyre's (b) Paasche's (c) Marshall and fEdgeworth, and (d) Fisher's methods. 1960 1970 Commodity Price Qиantity Price Quantity A 4 50 10 40 3 10 9. 2 C 4 2
3. (5.7.12) On June 2, 2010 USA Today reported a story from Bloomberg News that said that the total price tag for the project to build the new F-35 Joint Strike Fighter would be 65% higher than the original $232 billion estimate. The cost now is estimated to be $382 billion. The total cost of each plane would be $112.4 million, up 81% from the original $62 million. The cost to produce each plane would be $92.4 million, about 85% higher than the original estimate of $50 million. a. Check the arithmetic to see that the three percentage increases reported are correct. b. Can you explain how the project cost can have increased by just 65% when the overall total per plane increased by 81% and the construction cost alone increased by almost 85%?

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Illustration 13.18. Show. that the Fisher's Ideal Index satisies both the time reversal and factor reversal test. Use the data given below: 1970 Commodily "Price Quantity 1972 Price Quantity 6 50 10 56 2 100 120 4 60 60 10 30 12 24 40 12 36 ABCDE