Economics Consider the following estimated model based on quarterly data of Australian manufacturing exports from January 2015 to December 2019. EXP: = -5.38+ 0.191Y, + 0.0216FDI_+2.61t t-1 Where EXP, Y and FDI represent manufacturing exports (in thousand dollars), output (in thousand dollars) and foreign direct investment (in thousand dollars), respectively. The following is an excerpt of the actual data. What is the predicted exports in the fourth quarter of 2015? Period Y FDI Third quarter of 2015 57234 344 Fourth quarter of 2015 60031 385 Question 13 options: A11478.41 thousand dollars. B11525.50 thousand dollars. C1151.92 thousand dollars. D11520.17 thousand dollars.

Economics Consider the following estimated model based on quarterly data of Australian manufacturing exports from January 2015 to December 2019. EXP: = -5.38+ 0.191Y, + 0.0216FDI_+2.61t t-1 Where EXP, Y and FDI represent manufacturing exports (in thousand dollars), output (in thousand dollars) and foreign direct investment (in thousand dollars), respectively. The following is an excerpt of the actual data. What is the predicted exports in the fourth quarter of 2015? Period Y FDI Third quarter of 2015 57234 344 Fourth quarter of 2015 60031 385 Question 13 options: A11478.41 thousand dollars. B11525.50 thousand dollars. C1151.92 thousand dollars. D11520.17 thousand dollars.

Economics:

10th Edition

ISBN:9781285859460

Author:BOYES, William

Publisher:BOYES, William

Chapter9: Aggregate Expenditures

Section: Chapter Questions

Problem 7E

See similar textbooks

Similar questions

If the annual rate of world oil consumption t years after 1970 is modeledby the equation R(t) = 16.1e^.07t (billions of barrels per year), how much total oil (net change) was used between 1976 and 1980?
10.14 Total economic output in three years. The n - vector xt denotes the economic output of a country in n different sectors, in yeart. An economist models the economic output using a linear dynamical system model xt+1 = Axt, where A is an n \times n matrix. Assuming her model is correct, find an expression for the total economic output in yeart + 3, in terms of xt and A. (The total economic output is the sum of the economic output in the n sectors.)
We have estimated the impact of gross domestic product (GDP), energy consumption (ENERGY) and population (POP) on CO2 emiisions (CO2) in Cyprus. The results are as follows;Dependent Variable: CO2Method: Least SquaresDate: 04/20/17 Time: 09:46Sample: 1990 2013Included observations: 24 Write down the economic function for the above estimation by using the information obtained from above table b- Write down the economic model for the above estimation by using the information obtained from above table . c- Write down the econometric model for the above estimation by using the information obtained from above table d- Write down the least squares line by using the information obtained from above tablee- Explain what each coefficient of the least squares line indicates
The national income model for an economy is represented as follows (units are in Ksh.M) Y = C + I + G + X – M I = 320 + 0.20Y G = 980 C = 540 + 0.80Y M = 640 + 0.25Y X = 850 Y = National income; C = Consumption; I = Investment; G = government spending; X = Exports; and M = Imports. Determine the following.TRUE or FALSE: This model has three endogenous variablesAnswer 1Choose... TRUE or FALSE: The country’s marginal propensity to save is 20%.Answer 2Choose... Autonomous level of importsAnswer 3Choose... Equilibrium investment Answer 4Choose... Equilibrium national incomeAnswer 5Choose... Net Exports (NX) Answer 6Choose... TRUE or FALSE: The economy is a net importer
Q. Rubax, a U.S. manufacturer of athletic shoes, estimates the following linear trend model for show sales: Qt = a + bt + c1D1 + c2D2 + c3D3 Qt = sales of athletic shoes in the tth quarter t = 1, 2,..., 28 [2014(I), 2014(II),....,2020[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 otherwise The regression analysis produces the following results: a. Is there sufficient statistical evidence of an upward trend in shoe sales? b. Do these data indicate a statistically significant seasonal pattern of sales of Rubax shoes? If so, what is the seasonal pattern exhibited by the data? c. Using the estimated forecast equation, forecast sales of Rubax shoes for 2021(III) and 2022(II). d. How might you improve this forecast equation? Thank you!
Consider the model: yt = α0 + b0st + b1st-1 + b2st-2 + b3st-3 + ut. What is the effect of a permanent change in s on y?
Assume a model economy with the following parameters: C= 100+0.25Yd I=100+0.5Y-3000i G=125 T=100 (M/P)d= 6Y-24000i (M/P)s=4500 Derive the IS and LM relation
The diagram shows what happened to the consumption of lamb in the UK over the period 1974– 2015. How can we explain this dramatic fall in consumption? One way of exploring this issue is to make use of a regression model, which should help us to see which variables are relevant and how they are likely to affect 140 130 120 110 100 90 80 70 60 50 40 30 20 1974 1978 1982 1986 1990 1994 1998 2002 2006 2010 2014 Note: Data from 2015 based on end of financial year. Source: Based on data in Family Food datasets UK consumption of lamb: 1974–2017 The following is an initial model fitted to annual data for the years 1974–2010. QL = 144.0 – 0.137PL – 0.034PB + 0.214PP – 0.00513Y + e (1) where: QL is the quantity of lamb sold in grams per person per week; PL is the ‘real’ price of lamb (in pence per kg, 2000 prices); PB is the ‘real’ price of beef (in pence per…
Assume that the average or mean monthly household consumption expenditure for Malaysia rose from RM3,578 in 2018 to RM4,033 in 2020, growing 6% per annum at nominal value, according to the statistics department. However, in terms of real value — which refers to the constant price using the Consumer Price Index with the base year 2014 as the deflator — annual growth rate is 3.9% for the same period, mentioned on its Household Expenditure Survey Report 2020. a) Suppose that consumer spending initially rises by RM5 billion for every 1 percent rise in household wealth and that investment spending initially rises by RM20 billion for every 1 percentage point fall in the real interest rate. Also, assume that the economy’s multiplier is 4. i. If household wealth falls by 5 percent because of declining house values, and the real interest rate falls by two percentage points, in what direction and by how much will the aggregate demand curve initially shift at each price level? ii. In what…
Suppose that a coffee producing firm estimated the following regression of thedemand for its brand of coffee:Qc = 1.5 − 3.0Pc + 0.8Y + 2.0Pb − 0.6PS +1.2 Awhere Qc = sales of coffee brand C, in dollarsper pound Pc = price of coffee brand C,in dollars per poundY = personal disposable income, in millions of dollars per yearPb = price of the competitive brand of coffee, in dollarsper pound Ps = price of sugar, in dollars per poundA = advertising expenditures for coffee brand C, in hundreds of thousands ofdollars per year.Suppose also that this year, Pc = $2, Y = $2.5, Pb = $1.80,Ps = $1 and A =$1.a. Interpret the results of the estimated demand.b. Compute point price elasticity of demand for the firm’s brand of coffeewith respect to its price.c. Compute the cross-price elasticity of demand for coffee with respect to theprice of competitive coffee brand b.d. At the current price level, would it be viable for the firm to increase the pricelevel of its brand of coffee? Support your answer.…
T. Haavelmo devised a model of the US economy for the years 1929–1941 based on the followingequations:(i) c = 0.712y + 95.05 (ii) s = 0.158(c + x) − 34.30(iii) y = c + x − s (iv) x = 93.53Here x denotes total investment, y is disposable income, s is the total saving by firms, and c istotal consumption. Write the system of equations in the form (1) when the variables appear inthe order x, y, s, and c. Then find the solution of the system.
An economic research centre has published data on GDP and Demand for refrigerators as given below:Year 2011 2012 2013 2014 2015 2016 2017GDP (billion) 20 22 25 27 30 33 35Refrigerator 50 60 80 80 90 100 120(a) Estimate regression equation R= a+by, where R= No of refrigerator sold and Y= GDP.Forecast demand for refrigerator in the year 2018 and 2019. The research centre has projected GDP for 2018 and 2019 at Rs. 38 billion and Rs. 40 billion respectively.