Question

In: Economics

Based on the EViews result in Table 1, answer the following questions. Table 1: Estimated Regression...

Based on the EViews result in Table 1, answer the following questions.

Table 1: Estimated Regression Result

Dependent Variable: LGDP

Method: Least Squares

Sample: 2000Q1 2012Q4

Included observations: 52

Variable Coefficient Std. Error t-Statistic Prob.

LM2 0.796910 0.032383 24.60868 0.0000

LREER -0.060125 0.065220 -0.921892 0.3613

LSDR 0.051745 0.074618 0.693465 0.4914

LTBR 0.029174 0.007715 3.781436 0.0004

C 2.795406 0.427355 6.541183 0.0000

R-squared 0.986591 Mean dependent var 13.28409

Adjusted R-squared 0.985450 S.D. dependent var 0.429315

S.E. of regression 0.051786 Akaike info criterion -2.992187

Sum squared resid 0.126044 Schwarz criterion -2.804568

Log likelihood 82.79686 Hannan-Quinn criter. -2.920258

F-statistic 864.5234 Durbin-Watson stat 0.777639

Prob(F-statistic) 0.000000

a. Write down the estimated result. [5 marks]

b. Examine the parameters of interest from the perspective of: (hint: used p-value)

[25 marks]

c. What is your conclusion about the relationship between parameter of interests

based on the empirical results? [4 marks]

d. Based on the empirical results in Table 1, what are the possible diagnostic

problems that you observe?

Solutions

Expert Solution

As part of (c), note that the elasticity of GDP with respect to M2 = 0.797, the elasticity of GDP wi th respect to REER = -0.060, the ealsticity of GDP with respect to SDR = 0.052 and the elasticity of GDP with respect to TBR = 0.029 respectively.


Related Solutions

Based on the EViews result in Table 1, answer the following questions. Table 1: Estimated Regression...
Based on the EViews result in Table 1, answer the following questions. Table 1: Estimated Regression Result Dependent Variable: LGDP Method: Least Squares Sample: 2000Q1 2012Q4 Included observations: 52 Variable Coefficient Std. Error t-Statistic Prob.   LM2 0.796910 0.032383 24.60868 0.0000 LREER -0.060125 0.065220 -0.921892 0.3613 LSDR 0.051745 0.074618 0.693465 0.4914 LTBR 0.029174 0.007715 3.781436 0.0004 C 2.795406 0.427355 6.541183 0.0000 R-squared 0.986591     Mean dependent var 13.28409 Adjusted R-squared 0.985450     S.D. dependent var 0.429315 S.E. of regression 0.051786     Akaike info criterion...
1. As a result of running a simple regression on a data set, the following estimated...
1. As a result of running a simple regression on a data set, the following estimated regression equation was obtained:       = 9.7 + 13.4x Furthermore, it is known that SST = 622, and SSE = 150. 2. You are given the following information about y and x: y x Dependent Variable Independent Variable 11 6 15 5 10 2 14 2 Linear regression using least squares method yielded the following equation:   = 12.06 + 0.12x What is the predicted value...
Following is an Estimated Multiple Regression for Cigaretteconsumption in the US. Based on the estimated...
Following is an Estimated Multiple Regression for Cigarette consumption in the US. Based on the estimated parameters, and other statistics, Answer the following questions:CigaConsm = 14.5 + 0.06LnInc – 0.65LnCigPr. + 0.025LnExcTax + 0.034GenderT-stats:            (2.90) ( 1.30)         (-2.25)                (2.40)                   (1.67)Where CigaConsm represents cigarette consumption in millions of boxes per year in a given state; Inc is median household income of the State; Cigpr is cigarette price per pack; Exctax is Excise tax per pack of Cigarette,...
Question 1: The following table to answer the following questions.
Question 1: The following table to answer the following questions.  a. Sketch the aggregate supply(s) and aggregate demand diagram(s). b. What is the equilibrium output and price level? c. If aggregate demand shifts right, what is long-run equilibrium output? d. If aggregate demand shifts left, what is equilibrium long-run output? e. For an economy at long-run equilibrium, would you suggest using aggregate demand to alter the level of output or to control any inflationary increases in the price level? Why?
Use the following multiple regression table to answer the following questions: Daily Demand High Temperature Price...
Use the following multiple regression table to answer the following questions: Daily Demand High Temperature Price Day 144 73 $     1.00 1 90 64 $     1.00 0 0 = Weekend 108 73 $     1.00 1 1 = Weekday 120 82 $     1.00 1 54 45 $     1.20 0 69 54 $     1.20 1 126 86 $     1.20 1 99 70 $     1.20 0 48 73 $     1.50 0 33 66 $     1.50 0 90 75 $     1.50 1 81 61...
Question (1) Answer each of the following questions briefly. These questions are based on the following...
Question (1) Answer each of the following questions briefly. These questions are based on the following relational schema: Emp(eid: integer, ename: string, age: integer, salary: real) Works(eid: integer, did: integer, pcttime: integer) Dept(did: integer, dname: string, budget: real, managerid: integer) (a) (5 points) Give an example of a foreign key constraint that involves the Dept relation. What are the options for enforcing this constraint when a user attempts to delete a Dept tuple? (b) (5 points) Write the SQL statements...
2) Please answer questions A and B based on the following Best Subsets Regression. Best Subsets...
2) Please answer questions A and B based on the following Best Subsets Regression. Best Subsets Regression: Sales versus Price, Promotional exp, Quality Response is Sales P r o m o t i o n Q a u P l a r l i e i Mallows c x t Vars R-Sq R-Sq(adj)       Cp S e p y    1 81.3       79.8 6.1 7.8239 X    1 58.0       54.5 26.2 11.734 X    1   9.5        2.0 68.1 17.221 X   ...
Fill in the table and answer the following questions
Fill in the table and answer the following questions **** (Use D-method) Class Frequency 10 – 12 6 13 – 15 4 16 – 18 14 19 – 21 15 22 – 24 8 25 – 27 2 28 – 30 1   50 Class Real limits f cf x d fd     10 – 12                 13 – 15                 16 – 18  ...
1. Answer the following questions. What is the estimated (predicted) rate of return of the stock...
1. Answer the following questions. What is the estimated (predicted) rate of return of the stock today? ** Thames Inc.'s last dividend was $2 per share. The dividend is expected to grow at 5% per year. ** The stock currently sells for $26.25 per share. Select one: a. 13.0% b. 16.7% c. 5.2% d. 12.6% e. 11.0% 2. Continued from previous question.  What is the expected price of the stock one-year later? ** Thames Inc.'s last dividend was $2 per share....
1. Load the regression data in the le called wagedata.csv and answer the following questions: (a)...
1. Load the regression data in the le called wagedata.csv and answer the following questions: (a) Create an interaction between Ability and PhD (b) Run a regression with the interaction a constant Ability and PhD. Write down you estimators and the t-statistics (c) Compute the di erence-in-di erence estimate and write down you answer. (d) Test if the di erence is signi cant by showing relevant steps, and write down the conclusion to the test. 2. Which of these photos...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT