applied, Applied Statistics

Assignment Help:
Question 1

Suppose that you have 150 observations on production (yt) and investment (it), and you have estimated the following ADL(3,2) model:

(1 – 0.5L – 0.1L2 – 0.05L3)yt = 0.7 + (0.2 + 0.1L +0.05L2)it (1)

a. Use this model to describe the dynamic effects of investment on production. Your answer should include a calculation of the impact multiplier and the long-run multiplier.

b. Suppose that you can obtain other output associated with the above regression (eg., the residuals et, the R2, the sum of squared residuals, etc.). Carefully explain how you would test each of the null hypotheses given below.

[Hints: In each case your answer should state the extra output you would need from regression of equation (1), the extra regression(s) that you would need to run, an explanation of how you would construct the test statistic, a statement on the distribution of the test statistic under the null hypothesis, and a brief description of your critical region.]

i. H0: investment has no long run effect on production.

ii. H0: there is no third order serial correlation in the errors.

Related Discussions:- applied

Large sample test for mean, Large Sample Test for Mean A random sample ...

Large Sample Test for Mean A random sample of size n (n > 30) has a sample mean    . To test the hypothesis that the population mean μ has a specified value  μ 0  let us formu

Angle count method, Angle Count method The method for estimating the pr...

Angle Count method The method for estimating the proportion of the area of a forest which is in fact covered by the bases of trees. An observer goes to each of the number of po

Index number, give a elementary example for characterstics of index number

give a elementary example for characterstics of index number

Inverse cumulative distribution function, The Null Hypothesis - H0: β0 = ...

The Null Hypothesis - H0: β0 = 0, H0: β 1 = 0, H0: β 2 = 0, Β i = 0 The Alternative Hypothesis - H1: β0 ≠ 0, H0: β 1 ≠ 0, H0: β 2 ≠ 0, Β i ≠ 0      i =0, 1, 2, 3

Standard erro, practical application of standard error

practical application of standard error

Explain ridge regression, Using log(x1), log(x2) and log(x3) as the predict...

Using log(x1), log(x2) and log(x3) as the predictors, do pair wise scatterplots of all pairs of variables (including the response) and comment (use the pairs function). Do you thin

Population census, what are the challenges affecting population census in d...

what are the challenges affecting population census in developing countries

Measurement errors models, How can we analyse data with four bilateral resp...

How can we analyse data with four bilateral response variables measured with errors and three covariated measured without errors?

Systematic random sampling, Systematic Random Sampling This method  is ...

Systematic Random Sampling This method  is generally used in such cases where a complete list of the population is available from which sample has to be selected. Under this

Atmospheric circulation and precipitation, (a) Elevation (m)...

(a) Elevation (m) 0 400 800 1200 1600 2000 2400 2800 3200 4000 480

Write Your Message!

Captcha
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!

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