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Division of Economics SE-5004L Statistics and Econometrics Semester Two, 2012/2013 Level 2 Assessment: Project report Submission Date: Until 3 p.m. Tuesday 30 April 2013 Failure to submit a hard copy...

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Division of Economics
SE-5004L Statistics and Econometrics
Semester Two, 2012/2013
Level 2
Assessment: Project report
Submission Date: Until 3 p.m. Tuesday 30 April 2013
  • Failure to submit a hard copy of your work by this deadline will result in a mark of 0%
  • The assignment must also be submitted in electronic format to the ‘Turnitin’ drop-box in the Blackboard site for this module and the Turnitin reference code added to the hand-in sheet
  • You are advised to plan your work carefully and back-up your work. Computing and printing problems will NOT be accepted as reasons for non-submission
  • For your information when preparing your coursework, refer to the following:
  • University Regulation on the Presentation of Work for Formal Assessment
http://www.bradford.ac.uk/media/academicqualityunit/documents/regulationsordinances/Reg-for-Presentation-of-Work-for-Formal-assessment.pdf
  • Student Handbook on Plagiarism - remember to fully reference your work in the Harvard format.

SE-5004L Statistics and Econometrics, Semester Two, 2012/2013
Project Work
This study requires you to compile a sample data for: Savings rates (SR), GDP per capita (GDPPC) and Price inflation (PINF) for a set of 20 countries for one specific year. You need to specify the year and set of countries. You must then go and collect the data.
Sources: Data can be obtained from many places but a convenient source is: Global Competitiveness Report available from the World Economic Forum.
Task:
1. Present your data in a table showing the names of the variables. Make sure the full definitions and sources of each variable are given.
2. The first equation to be estimated is:
SR i = b0 + b1 GDPi+ b2 PINFi+ ui (1)
where u is a disturbance term and the subscript i represents country.
Answer these questions:
(i) In terms of economic theory what sign would you expect to find for the coefficients in the regression equation?
(ii) It is possible (with a little algebra) to obtain the marginal propensity to consume from this model. Work out an expression for this figure.
(iii) Why is there a constant term in the equation with no variable attached?
(iv) Why do these types of equations have a ‘u’ term?
3. Estimate equation (1) by OLS and present the results in a suitable table
(n.b. marks will be lost for simply pasting over the computer output)
(i) Comment on the results for the coefficients on the GDP and PINF variables.
(ii) Comment on the R squared statistic.
(iii) Is the estimated value of b0 positive or negative? Does it matter for the reliability of your estimates for b1 and b2 whether b0 is positive or negative?
(iv) Examine the residuals of your estimated equation to determine whether any of your countries is a regression residual.
4. Carry out the following hypothesis tests:
(i) b0 = 0 against the two sided alternative at the 1% level
(ii) b1 = 0 against the two sided alternative at the 5% level
  1. b2 = 0 against the two sided alternative at the 10% level
  2. b1 = b2 = 0 against the one sided alternative at the 5% level

5. You are now required to estimate the following form of the model using OLS:
SR i = b0 GDPi b1PINF b2 exp u (2)
where u is a classical disturbance term and exp is the value of exponential.
  1. Write down the estimating equation you need to use to estimate (2) by OLS.

(ii) Explain why the disturbance term enters equation (2) in a different form from equation (1)
(iii) What does the coefficient of b2 now represent?
(iv) Explain how the impact of a one unit change in PINF on the savings ratio would be calculated
6. You must now estimate equation (2) Compare your results for equations (1) and (2).
7. You should now write a short report of XXXXXXXXXXwords. This should briefly summarize your findings but most of your answer should consist of further exploration of your data and suggestions for improvement of the model you have estimated. [20 marks]
Deadline for submission is Tuesday 30 April 2013 before 3pm
Answered Same Day Dec 22, 2021

Solution

Robert answered on Dec 22 2021
120 Votes
Project Report
(1)
Table 1: Global Competitiveness Report 2012-2013
    Global Competitiveness Report 2012-2013
    Country
    Savings Rate (SR)
    Gross Domestic Product (GDP) Per-Capita (GDPPC) US($)
    Price Inflation (PINF)
    Argentina
    0.22
    10945
    0.098
    Armenia
    0.187
    3033
    0.077
    Belgium
    0.2112
    46878
    0.0347
    Brazil
    0.1845
    12789
    0.066
    Canada
    0.2
    50436
    0.029
    Chad
    0.188
    892
    0.019
    Columbia
    0.218
    7132
    0.034
    Czech Republic
    0.215
    20444
    0.019
    Finland
    0.21
    49350
    0.033
    France
    0.188
    44008
    0.023
    Hungary
    0.207
    14050
    0.039
    Israel
    0.188
    31986
    0.035
    Japan
    0.219
    45920
    -0.003
    Kyrgyz Republic
    0.213
    1070
    0.166
    Lesotho
    0.203
    1264
    0.056
    Senegal
    0.209
    1076
    0.034
    Slovak Republic
    0.219
    17644
    0.041
    Slovenia
    0.213
    24533
    0.018
    Sri Lanka
    0.203
    2877
    0.067
    Suriname
    0.215
    7096
    0.177
Source: Global Competitiveness Report 2012-2013, World Economic Forum
Table 2: Summary Statistics
Variables Definition
Mean Std. Dev. Min Max
SR
Savings Rate
0.21 0.01 0.18 0.22
GDPPC Gross Domestic Product per-capita
19671.15 18412.54 892 50436
PINF Price Inflation Rate

0.05 0.05 -0.003 0.18
(2) Regression equation:
SR i = b0 + b1 GDPi+ b2 PINFi+ ui (1)
(i) Higher Gross Domestic Product (GDP) per-capita implies higher income per-person in a country. Therefore, higher amount of money in the hands of consumers. If level of consumption remains constant then savings will increase with an increase in income as
Income = Consumption + Savings ….. (2)
Savings (S) = Income (I) – Consumption (C) ……(2a)
∆S = ∆I - ∆C, ∆C=0, since C is constant
Therefore, ∆S = ∆I. This shows income and savings are positively related. Therefore, in this case, I expect an increase in income will lead to an increase in savings (b1>0), all else constant.
On the other hand, following the same identity in Equation (2a), if rate of inflation increases, then people will have to spend more income in buying goods and services, that is, consumption spending will increase, thus, with the same level of income, savings will fall. Therefore, I expect a negative effect of the rate of inflation on the savings rate (b2<0), all else constant.
(ii) SR i = b0 + b1 GDPi+ b2 PINFi+ ui (Savings rate= Savings/GDP, S= Savings)
Or, S/GDP= b0 + b1 GDPi+ b2 PINFi+ ui
Or, S= b0 GDP + b1 GDPi ^2+ b2 PINFi GDP+ uiGDP
Or, dS/dGDP= b0 +2 b1 GDPi + b2 PINFi + ui
Or, MPS= b0 +2 b1 GDPi + b2 PINFi + ui
And MPC= 1-MPS
(iii) The constant term (b0) in Equation 1 represents the autonomous savings. Autonomous savings is defined as the savings by the households, which is unrelated to the income or production, that is, autonomous savings is not dependent upon the level of income. Even if income (or disposable income) is zero, autonomous savings can still exists.
(iv) The distu
ance term ‘u’ captures the effect of other factors in the model. For example, besides the usual factors affecting savings rate, such as GDP, rate of inflation, etc., savings rate can also be affected by unforeseen changes in the economy, such as war, natural calamity, etc. u helps to capture the effect of such unforeseen factors on the savings rate, and is therefore, important to include it in the model.
(3)
(i) Table 3: Regression Analysis of Savings Rate on GDP Per-capita and Inflation Rate
Dependent Variable: Savings Rate (SR)
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