User Account

All Pages

E-views, Econometrics

Assignment Help:

The following table gives data on the Consumer Price Index (CPI) and the Standard & Poor (S&P)
company''s index of 500 common stock prices.
Year CPI Index S&P 500 Index
1978 65.2 96.02
1979 72.6 103.01
1980 82.4 118.78
1981 90.9 128.05
1982 96.5 119.71
1983 99.6 160.41
1984 103.9 160.46
1985 107.9 186.84
1986 109.6 236.34
1987 113.6 286.83
1988 118.3 265.79
1989 124.0 322.84
Source: Economic Report of the President, 1990
A. Import the above data into E-Views. Plot the data on a scattergram with the S&P index on the
vertical axis and CPI on the horizontal axis. This is the second item on your printout for this
homework. Is this data time series, cross sectional, or pooled? Explain!
B. What can you say about the relationship between the two indexes?
C. Consider the following regression model:
Equation 1: (S&P)t = ?0 + ?1CPIt + ?t
(i) Using the data above, construct a table like the one shown in section 2.1.3 on page 39 in
Studenmund and use your calculations to manually compute the regression coefficients
in Equation 1 above (Hint: follow the method described in section 2.1.3).
(ii) Use OLS in E-views to estimate Equation 1 with the above data. Your E-Views output is
the third item on your printout for this homework. Are the results the E-views reports
different from the ones you obtained through the manual computation? Interpret the
coefficient estimates.
(iii) Do the results obtained in part (ii) above make economic sense?
D. What is the R2 of the estimated regression equation (highlight this on your E-views output)?
Given the type of data you used to estimate equation (1) does the R2 indicate an excellent fit, a
good fit, or a bad fit? Explain!

Related Discussions:- E-views

Coefficient estimators and R squared, Using a sample of 545 full-time worke...

Using a sample of 545 full-time workers, a researcher is interested in the question whether women are systematically underpaid compared to men. First, the researcher estimates aver

Anova, anova model two qualitatlve var

anova model two qualitatlve var

Break-even, how to calculate equilibrium quantity and price

how to calculate equilibrium quantity and price

Diff between Mrs and Mrts, diff between Mrs and Mrts

diff between Mrs and Mrts

Explain the inflation rate, The following regression was estimated to expla...

The following regression was estimated to explain the inflation rate in the USA.  The data set contains annual observations from 1970 to 2010.       Inft  =  2500 +   50*Xt  +

Regression Analysis, #qu3. People educational achievement is affected, amon...

#qu3. People educational achievement is affected, among other factors, by the demographic characteristics of their households; the following multiple regression model was estimated

Differentiate between linear and log-linear model, Problem: (a) Differe...

Problem: (a) Differentiate between linear and log-linear model. (b) Distinguish between type I and type II errors. (c) (i) A bulb manufacturer claims that its bulbs last

Multivariate Garch, Need to run MGARCH (system) in SAS or other software. H...

Need to run MGARCH (system) in SAS or other software. Have data.

Explain what is meant by the term regression, (a) Explain what is meant by ...

(a) Explain what is meant by the term regression. (b) Describe the justification for the inclusion of a disturbance term in a regression analysis. (c) With appropriate exa

Time-series econometrics, Suppose time-series data has been generated accor...

Suppose time-series data has been generated according to the following process: where t is independent white noise. Our main interest is consistent estimation of Φ from r

Write Your Message!

Captcha
Order Assignment

Featured Services

Order Now

Popular Subjects

Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

Submit Assignment

Academics

Major Subjects

Majors

Get In Touch

whatsapp: +91-977-207-8620

Phone: +91-977-207-8620

Email: [email protected]

TERMS & POLICIES

HELP & SUPPORT

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd