I llustration 13.2. Construct index number of prices from thefollowing data using (a) Laspeyre's (b) Paasche's (c) Marshall andEdgeworth and (d) Fisher's methods.19601970PriceQuantityPriceQuantityCommodityPoP16.501056B2100120C46060D103012248.401236

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Answered: llustration 13.2. Construct index…

MATLAB: An Introduction with Applications

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Chapter1: Starting With Matlab

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The prices of earphones (in rands) at a music shop are shown in the table below for each month in 2006. It is generally accepted that the same price pattern repeats itself three times per annum and this principal may also be applied here. Consider this partially completed tables: Period 1 2 3 4 5 6 7 8 9 10 11 12 Prices (y) OB. 46.5 OC. 34.56 OD. 56.03 54.50 54.75 55.20 56.30 56.25 56.10 55.90 56.10 56.80 56.95 56.80 56.55 3-period Moving average 54.82 55.33 93.08 56.22 56.08 A 56.27 56.62 56.85 56.77 Seasonal index 99.87 99.6 100.68 100.05 100.04 B 100.18 Calculate the value of the missing moving average located at A. Round off to two decimals. OA. 57.56
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 =
The following table shows the value of imports (7) the level of GNP (X;) measured in Rs. in lakhs and the price index of imported goods (X₂) over the 12 years for a certain country. 2008 2009 2010 2011 2012 2013 2014 2015 43 73 37 64 48 50 215 250 241 305 258 321 147 118 100 128 149 150 Y X₁ x₂ = 57 220 125 56 354 145 2016 2017 2018 2019 Y: 39 43 69 60 X₁: 370 375 385 385 X₂: 140 115 155 152 (1) Estimate the regression equation and what are the economic meaning of your estimates? (1) Compute R² and adjusted R2.
37. The Index Number for the year 2003 with 1990 as base year for the following data is : Commodity Quantity in unit in 1990 Price per unit in 1990 (Rs.) Price per unit in 2003 (Rs.) A 100 8.00 12.00 B 25 6.00 7.50 C 10 5.00 5.25 20 48.00 52.00 E 25 15.00 16.50 F 30 9.00 27.00 (A) 142.11 (B) 132.11 (C) 152.11 (D) 122.11.
6. From the following data construct a price index number of the group of four cömmodities by using the appropriate formula : Commodity Current Year Base Year Price per unit Expenditure Price per unit Expenditure A 2 40 75 16 8 40 C 1 10 2 24 D 25 10 60
The Big Mac index is a way of measuring Purchasing Power Parity (PPP) between different countries. By diverting the average national Big Mac prices to U.S. dollars, the same goods can be informally compared. The Big Mac can also be a good indicator for the individual purchasing power of an economy since he exists worldwide in standard size, composition and quality. Price # of Countries Rel. f. Cum. f 1.50-1.99 2 2.00-2.49 4 2.50-2.99 7 3.00-3.49 9. 3.50-3.99 7 4.00-4.49 8 4.50-4.99 9 5.00-5.49 7 5.50-5.99 1 6.00-6.49 2 6.50-6.99 1 a. What is the statistical name of the table above? b. How many countries were sampled? c. State the class width. d. Calculate the mean and standard deviation of the average prices of a Big Mac worldwide. Attach correct symbols and units to your answers. Explain how you obtained your answers.
b) r=
10:38. (a) Construct the cost of living index number from the table given below. Index for 1998 550 Expenditure Group 1. Food Clothing 3. Fuel & Lighting 46% 10% 2. 215 7% 220 12% 4. House Rent 150 25% 5. Miscellaneous 275 (b) How is the overall index number altered: (i) if all the group index numbers are changed in the same ratio ; (ii) if all the weights and group indices are changed in the same ratio ; (iii) if all the tion. group index numbers are increased by 10 and all the weights doubled ? re
13. The following data relate to the prices and quantities of 4 commodities in the years 2012 and 2013. Construct the following index numbers of price for the year 2013 by using 2012 as the Base year, (i) Laspeyre's Index, (ii) Paasche's Index, (iii) Fisher's Ideal Index, 2012 2013 Commodity Price Quantity Price Quantity 100 6. 150 4 80 100 2.5 60 72 12.0 30 9. 33
47. The general price index given the following items of information is : Group of items Cereals Other Fuel and Нouse Clothing Misc. Food Light Group price index Average expenditure per household per month (Rs.) 135 152 124 148 107 139 61 73 19 41 26 82 (A) 128.86 (B) 138.86 (С) 198.86 (D) 158.86.
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6. From the following data construct a price index number of the group of four commodities by using the appropriate formula : Commodity Pog Expenditure (Rs.) Price per unit Base Year Current Year Price per unit Expenditure (Rs.) TAT 40 75 bodlomvtisgos datow ordt 1 esvitsleo ogerovA beeioW bairigiev.C slil Viisle Dlo sg.SoVs bo 5tow siugmo 25 ofdieeoq oe 10 el di boriem 60slot 8 40 24 1 bolugmoo jol0 STOW eovitslonoohq ovods btupeib

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llustration 13.2. Construct index number of prices from the following data using (a) Laspeyre's (b) Paasche's (c) Marshall and Edgeworth and (d) Fisher's methods. 1960 1970 Price Quanti ry Price Оиantity Commodity Po P1 A 6 S0 10 56 B 2 100 2 120 4 60 6 60 D 10 30 12 24 E 8 40 12 36