Refer to the quarterly value of Gross Domestic Product (GDP in billions of currentdollars) in China from 2021q1 to 2023q4. You are going to analyze GDP by an additivemodel with a trend component (Tt) and a seasonal component (St), and forecast GDPusing the seasonal decomposition method.YearQuartertGDP (Y₁)CM(4)Detrended202111249202228284.93329128.8??4432589.9??20221527034.4??2629244.7??3730794.2??4833399.1??20231928442.3??21030829.3??31131997.641234789a. Use an CM(t|4) [centered moving average of order 4] series to estimate the GDPseries from t = 3 to 10.b. Calculate the seasonal factors for each quarter with a zero mean, by first obtainingthe detrended revenue series from t = 3 to 10.c. In this seasonal decomposition method, why is it necessary to use moving averagesto process time series data first? How about using moving average of order 5?

The objective of the question is to analyze the GDP of China using an additive model with a trend…

Answered: Refer to the quarterly value of Gross…

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 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…
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question 8 macronecon
We Suppose U.S. nominal GDP increases from one year to the next year. conclude that U.S. production of goods and services has increased because: Prices have decreased from one year to the next Prices have increased as well from one year to the next We do not know whether prices have changed from one year to the next The best measure for determining growth in output between two periods is real GDP
To estimate GDP using an expidenture approach, what are the expidenture components that would be needed to perform the estimation ? Of these, which is the largest?
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…
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). 2800 2700 2600 2500 2400 1955 1956 1957 1958 1959 YEAR REAL GDP (Billions of dollars)
3. Rubax, a U.S. manufacturer of athletic shoes, estimates the following linear trend model for shoe sales: Qt = a+bt+c1D1+c2D2+c3D3Where, Qt = sales of athletic shoes in the t-th quartert = 1, 2, . . . . , 28 [2011(I), 2011(II), . . . . , 2017(IV)]D1 = 1 if t is quarter I (winter); 0 otherwiseD2 = 1 if t is quarter II (spring); 0 otherwiseD3 = 1 if t is quarter III (summer); 0 otherwiseThe regression analysis produces the following results: Is there sufficient statistical evidence of an upward trend in shoe sales? explain Do these data indicate a statistically significant seasonal pattern of sales for Rubax shoes? If so, what is the seasonal pattern exhibited by the data? Using the estimated forecast equation, forecast sales of Rubax shoes for 2018(III) and 2019(II).
Suppose that the world's current oil reserves is R = 2060 billion barrels. If, on average, the total reserves is decreasing by 15 billion barrels of oil each year, answer the following: A.) Give a linear equation for the total remaining oil reserves, R, in terms of t, the number of years since now. (Be sure to use the correct variable and Preview before you submit.) R= B.) 8 years from now, the total oil reserves will be billions of barrels. C.) If no other oil is deposited into the reserves, the world's oil reserves will be completely depleted (all used up) approximately years from now. (Round your answer to two decimal places.)
Use the information from the preceding table to fill in the following table. Nominal GDP Real GDP (Base year 2019, dollars) GDP Deflator Year (Dollars) 2019 2020 2021
Q. Table provided gives data on gross domestic product (GDP) for the United States for the years 1959–2005. a. Plot the GDP data in current and constant (i.e., 2000) dollars against time. b. Letting Y denote GDP and X time (measured chronologically starting with 1 for 1959, 2 for 1960, through 47 for 2005), see if the following model fits the GDP data: Yt = β1 + β2 Xt + ut Estimate this model for both current and constant-dollar GDP. c. How would you interpret β2? d. If there is a difference between β2 estimated for current-dollar GDP and that estimated for constant-dollar GDP, what explains the difference? e. From your results what can you say about the nature of inflation in the United States over the sample period? Please answer c, d, and e. Thank you!
HDI vs GNI formula to create scatterplot

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