Construct the following graphs for the US economy using the data from FRED, BEA, and BLS websites. Select the period from 1945 (subject to data availability) until the most recent year available. You have to create each graph three different times by utilizing the data from the three different websites. Be sure to indicate the source of data for each graph. Nominal GDP and real GDP levels on the same graph (two curves on the same graph) Real GDP growth rate Unemployment rate Price Index (CPI or GDP deflator) Inflation rate

Construct the following graphs for the US economy using the data from FRED, BEA, and BLS websites. Select the period from 1945 (subject to data availability) until the most recent year available. You have to create each graph three different times by utilizing the data from the three different websites. Be sure to indicate the source of data for each graph. Nominal GDP and real GDP levels on the same graph (two curves on the same graph) Real GDP growth rate Unemployment rate Price Index (CPI or GDP deflator) Inflation rate

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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You are employed by the state bureau of economic development. There is a demand for a leading economic index to review past economic activity and to forecast future economic trends in the state. You decide that several key factors should be included in the index: number of new businesses started during the year, number of business failures, state income tax receipts, college enrollment, and the state sales tax receipts. Here are the data for 2000 and 2018. New businesses Business failures State income tax receipts ($ millions) College student enrollment State sales tax ($ millions) Click here for the Excel Data File Leading economic indicator 2000 1,088 Economic activity has 627 191.7 increased decreased 242,119 41.6 c. Interpret the indexes. (Round your answer to 2 decimal places.) 2018 1,162 The weights you assign are: new businesses 15%, business failures 10%, income tax 40%, enrollment 10% and sales tax 25%. b. Compute the leading economic indicator for 2018. (Round your answer to…
You are employed by the state bureau of economic development. There is a demand for a leading economic index to review past economic activity and to forecast future economic trends in the state. You decide that several key factors should be included in the index: number of new businesses started during the year, number of business failures, state income tax receipts, college enrollment, and the state sales tax receipts. Here are the data for 2000 and 2018. New businesses Business failures State income tax receipts ($ millions) College student enrollment State sales tax ($ millions) Click here for the Excel Data File Leading economic indicator The weights you assign are: new businesses 17%, business failures 10%, income tax 34%, enrollment 14% and sales tax 25%. b. Compute the leading economic indicator for 2018. (Round your answer to 2 decimal places.) 2000 1,125 592 196.2 242,159 46.1 Economic activity has 2018 1,059 286 178.8 291,079 66.7 c. Interpret the indexes. (Round your answer…
Using the information below, answer questions 1-3 Consider an economy that produces only three types of fruit: apples, oranges and bananas. In 2000, the production and price data were as follows: Quantity Price Fruit Apples 3000 Bananas 6000 Oranges 8000 $2 per unit $3 per unit $4 per unit In 2001 the production and price data are as follows Fruit Apples 4000 Bananas 14000 Oranges 8000 Quantity Price $3 per unit $2 per unit $5 per unit Nominal GDP equals O Show Transcribed Text Using 2001 as the base year, real GDP is $80,000 in 2000 and $56,000 in 2001 $61,000 in 2000 and $80,000 in 2001 $61,000 in 2000 and $82,000 in 2001 $56,000 in 2000 and $82,000 in 2001
Suppose you have an extra six months of data on demands and prices, in addition to the data in the example. These extra data points are (350,84), (385,72), (410,67), (400,62), (330,92), and (480,53). (The price is shown first and then the demand at that price.) After adding these points to the original data, use Excel’s Trendline tool to find the best-fitting linear, power, and exponential trend lines. Then calculate the MAPE for each of these, based on all 18 months of data. Does the power curve still have the smallest MAPE?
Please answer the questions provided on the image below.
The table below presents a brief summary of City A’s total spending, local GDP, and population changes. Read the table and answer the following questions. 2010 2020 Total spending ($ million) 89 104.12 Local GDP ($ millions) 110 134 Population 50,000 56,275 CPI deflators (2012=1) 0.96 1.05 Calculate % change for City A’s total spending from 2010 to 2020 in current dollars. *Results round to the nearest 2 decimal places. Calculate % change for City A’s total spending from 2010 to 2020 in constant dollars. *Results round to the nearest 2 decimal places. Why does % change calculated from constant dollars differ from % change calculated from current dollar? Calculate per capita spending in 2010 and 2020, respectively, using constant dollars. *Results round to the nearest dollar. 2010 per capita spending: 2020 per capita spending: Calculate the compound annual growth rate of per capita spending from 2010 to 2020…
The following graph approximates business cycles in the United States from the first quarter of 1955 to the third quarter of 1959. The vertical blue bar coincides with periods of 6 or more months of declining real gross domestic product (real GDP). Notice that real GDP trends upward over time but experiences ups and downs in the short run. A period of declining real GDP, such as the blue-shaded period in 1957, is known as . True or False: Small ups and downs in real GDP follow a consistent, predictable pattern. True False Which of the following probably occurred as the U.S. economy experienced declining real GDP in 1957? Check all that apply. Industrial production increased. Home sales increased. Consumer spending declined. Retail sales declined.
need help with this one. Using the data in the table below related to nominal GDP and the chain-weighted price deflators for gross domestic product (e.g., price index for GDP), answer the following questions:
Statistics Denmark monitors the development of economic variables and measures e.g. productivity development.In general, it is one of the laws of economics that employee productivity determines the ability of employers to pay employees wages. The higher the productivity (per capita output), the higher the wages that can be paid. In a recession, such as Covid, companies are generally reducing their use of labor. The latest statistics show the following: In the third quarter of 2020, labor productivity growth in Denmark was 2%. This increase alone does not say much, but is considered to be able to reflect an increase in productivity following a contraction in labor input. a. Show the relationship between production and labor use in the short term and at the same time explain with a picture what can cause the growth of productivity. b. What is happening to marginal production at the same time? c. Show how wages develop if companies keep marginal costs fixed in the above circumstances…
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The following is data on income (IDR 1,000) and the Consumer Price Index (CPI) with the base year 2014 Question: - Before working on the questions below, please change the base year to 2015 - Find the actual income each year with the 2015 base year - Determine the purchasing power of the currency for 2015 to 2019
The accompanying table shows a portion of quarterly data for real personal consumption (Consumption in $) and real personal disposable income (Income in $) for the years 2000-2019. Date Q1,2000 Q2, 2000 A Q4,2019 Consumption 8520.71 8603.01 ⠀ 13411.94 Income 9338.68 9441.95 1 15100.13 pictureClick here for the Excel Data File a. Construct a scatterplot of Consumption against Income. Given the scatterplot, which statement best describes the relationship between Consumption and Income? O Consumption and Income have a positive relationship. O Consumption and Income have a negative relationship. O Consumption and Income have no relationship. O Consumption and Income have a U-shaped (nonlinear) relationship.