Year20002001200220032004200520062007200820092010201120122013201420152016201720182019(in Billions of (Price Index,Dollars) (2012= 100)9,81778.110,12879.810,46981.110,96082.611,68584.812,42287.413,17890.113,80892.514,29194.313,93995.014,52496.115,51898.116,163100.016,768101.817,393103.618,037104.618,954105.719,543107.720,612110.321,433112.3Instructions: Round your responses to the nearest billion. If you are entering any negative numbers be sure to include a negative sign(-) in front of those numbers.a. Calculate real GDP for 2018 using 2008 prices.15402 billion$b. By how much did real GDP increase between 2008 and 2018?$c. By how much did nominal GDP increase between 2008 and 2018?$-3532 billionbillion

Real GDP is the total economic output of a country adjusted for the price change. It signifies the…

Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 (in Billions of Dollars) 9,817 10,128 10,469 10,960 11,685 12,422 13,178 13,808 14,291 13,939 14,524 15,518 16,163 16,768 17,393 18,037 18,954 19,543 20,612 21,433 Instructions: Round your responses to the nearest billion. If you are entering any negative numbers be sure to include a negative sig (-) in front of those numbers. a. Calculate real GDP for 2018 using 2008 prices. (Price Index, (2012 = 100) 78.1 79.8 81.1 82.6 84.8 87.4 90.1 92.5 94.3 95.0 96.1 98.1 100.0 101.8 103.6 104.6 105.7 107.7 110.3 112.3 $ b. By how much did real GDP increase between 2008 and 2018? $ -3532 billion c. By how much did nominal GDP increase between 2008 and 2018? $ 15402 billion billion

Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 (in Billions of Dollars) 9,817 10,128 10,469 10,960 11,685 12,422 13,178 13,808 14,291 13,939 14,524 15,518 16,163 16,768 17,393 18,037 18,954 19,543 20,612 21,433 Instructions: Round your responses to the nearest billion. If you are entering any negative numbers be sure to include a negative sig (-) in front of those numbers. a. Calculate real GDP for 2018 using 2008 prices. (Price Index, (2012 = 100) 78.1 79.8 81.1 82.6 84.8 87.4 90.1 92.5 94.3 95.0 96.1 98.1 100.0 101.8 103.6 104.6 105.7 107.7 110.3 112.3 $ b. By how much did real GDP increase between 2008 and 2018? $ -3532 billion c. By how much did nominal GDP increase between 2008 and 2018? $ 15402 billion billion

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Country U.S. In 2011 dollars (1) Capital/person 175,075 Hong Kong 154,766 Argentina 31,589 (2) per-capita GDP 54,807 40,603 16,469 Relative to the US values (US = 1)_ (4) per-capita (5) predicted GDP y* (3) Capital/person 1.000 1.000 1.000 (6) Implied TFP to match data 1.000
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Performance of Key Sectors Exports of manufactured goods surpassed RM1 tril mark for the first time Manufactured Goods Manufactured Goods RM848.84 bil RM1.067 tril 125.6% 123.4% 86.1%* 86.0% EXPORTS IMPORTS RM1.240 tril RM987.24 bil 5.6% 7.9% 5.4% 6.2% Others . • Agriculture Goods RM98.10 bil Others RM4.71 bil Ågriculture Goods RM60.97 bil 个12.3% 136.8% RM24.40 bil Mining Goods RM69.79 bil 158.7% 125.0% Mining Goods 个19.5% RM53.04 bil Note: * share 19.0% 1. ANALYSE THE PERFORMANCE OF THE KEYS SECTORS ABOVE
Problem 3:complete parts A, B, and C using the graph.
Performance of Key Sectors Exports of manufactured goods surpassed RM1 tril mark for the first time Manufactured Goods Manufactured Goods RM848.84 bil RM1.067 tril 个25.6% 123.4% 86.1%* 86.0% EXPORTS IMPORTS RM1.240 tril RM987.24 bil 5.6% 7.9% 5.4% 6.2% Others . Agriculture Goods RM4.71 bil RM98.10 Others Ágriculture Goods RM60.97 bil 个12.3% 136.8% RM24.40 bil Mining Goods RM69.79 bil 158.7% 125.0% 119.5% Mining Goods RM53.04 bil Note: * share 19.0% 1. ANALYSE THE PERFORMANCE OF THE KEYS SECTORS ABOVE
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Question 4.04 TABLE 1 Q Q* 8 10 13 12 16 15 11 12 From Table 1 above, calculate R-squared. Round to two decimal places. Answer: .01
(Figure: Interpreting Equations on a Graph) In the graph, if x is 0, then the y-intercept is y%3D14 + 6x O 14. O 14.6. 0. O 0.6.
1) The standards for a product call for 2.5 pounds of a raw material that costs $6.10 per pound. Last month, 30,000 pounds of the raw material were purchased for $187,500. The actual output of the month was 9,000 units of the product. A total of 22,200 pounds of the raw material were used to produce this output. Required: a. What is the materials price variance for the month? b. What is the materials quantity variance for the month?
Question 6 If a market basket was defined in 2014 and it cost $10,000 to purchase the items in that basket in 2014, while it cost $11,000 to purchase those identical goods in 2015, then the price index for 2015 is a (10000/11000)*100=90.9. b) 100. c) (11000/10000)*100=110. d) unknown given this data.
Panel C Panel D 101.00 0.04 101.00 0.04 100.00 100.50 0.03 0.03 99.00 98.00 97.00 96.00 100.00 0.02 0.02 99.50 0.01 0.01 95.00 99.00 94.00 93.00 92.00 98.50 -0.01 -0.01 actual output (left axis) actual output (left axis) full-employment output (left axis) - full-employment output (left axis) -interest rate (right axis) interest rate (right axis) Assume that inflation is 1% throughout the entire year and the inflation target is 2%. In which of the four panels the interest rate set by the central bank is inconsistent with the Taylor rule? O A. panel A O B. panel B O C. panel C O D. panel D Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 Oct-20 Nov-20 Dec-20 Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 Oct-20 Nov-20 Dec-20
The 2008 sales and profits of seven companies were given as follows Firm Sales ($ Billions) Profit ($ Billions) Fiat 5.7 0.27 Honda 6.7 0.12 BP 0.2 0.01 Toyota 0.6 0.04 Apple 3.8 0.05 IBM 12.5 0.46 Phillips 0.5 0.02 The estimated value for the company’s Profit can be estimated using the equation; Y ̂i = α ̂ + β ̂Xi……………………………………………………………………Eqn.1 Where; Y = Companies Profit X = Companies Sales α ̂ and β ̂ are estimated parameters in the model Calculate the sample regression line, where profit is the dependent variable (Y) and sales is the independent variable (X)