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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...

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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).
Answered Same Day Dec 22, 2021

Solution

Robert answered on Dec 22 2021
119 Votes
Econometrics Project Report
(1)
Table 1: Global Competitiveness Report 2012-2013
    Country
    GDP Per-Capita (GDPPC) US($)
    Price Inflation (PINF) US($)
    Savings Rate (SR) US($)
    Switzerland
    81160.618
    0.00228
    0.346
    Singapore
    49270.872
    0.05248
    0.44371
    Finland
    49349.516
    0.03324
    0.21006
    Sweden
    56956.308
    0.01366
    0.26808
    Netherlands
    50355.471
    0.02477
    0.26386
    Germany
    43741.55
    0.02482
    0.23716
    United States
    48386.686
    0.03142
    0.12875
    United Kingdom
    38592.095
    0.04454
    0.12917
    Hong Kong SAR
    34048.924
    0.05281
    0.27004
    Japan
    45920.297
    -0.00283
    0.21932
    Qata
    98329.491
    0.02
    0.54269
    Denmark
    59928.1
    0.02757
    0.23814
    Taiwan, China
    20100.504
    0.01422
    0.30138
    Canada
    50435.503
    0.0289
    0.20005
    Norway
    97254.599
    0.01301
    0.3754
    Austria
    49809.173
    0.036
    0.2521
    Belgium
    46878.356
    0.03469
    0.21124
    Saudi Arabia
    20504.359
    0.04976
    0.43036
    Korea, Rep.
    22777.933
    0.04026
    0.31825
    Australia
    65477.033
    0.03389
    0.24939
Source: Global Competitiveness Report 2012-2013, World Economic Forum
Table 2: Summary Statistics
    Variable Definition
Mean Median SD Min Max
    GDPPC Gross Domestic Product Per-Capita 51463.87 49310.19 21572.91 20100.50 98329.49
    PINF Inflation Rate

0.03 0.03 0.02 -0.003 0.05
     SR Savings Rate
0.28 0.26 0.10 0.13 0.54
(2) Regression equation: SR i = b0 + b1 GDPi+ b2 PINFi+ ui ……(1)
(i) Following Economics theory the GDP identity is given as,
Income (Y) = Consumption (C) + Savings (S) ….(1’)
Or, S = Y - C …..(1’a)
Or, Therefore, Change in S = Change in Y – Change in C and Savings Rate = Savings/Gross Domestic Product
Holding C constant, Change in S = Change in Y….(1’b), (since, Change in C=0).
From Equation 1’b, if income increases then it is likely to increase savings (b1>0), ceteris paribus, as income and savings are positively related, holding other factors constant. In general, a savings schedule also shows a positive relationship between savings and income.
Again, holding Y constant, Change in S = - Change in C …..(1’c)
If inflation rate increases then people may spend more on their consumption goods, and thus, holding income constant, with an increase in inflation rate, savings will fall (from Equation 1’c); therefore, savings is likely to decrease with the rate of inflation (b2<0), ceteris paribus.
(ii) SR i = b0 + b1 GDPi+ b2 PINFi+ ui (Savings rate= Savings/GDP)
Or, S/GDP= b0 + b1 GDPi+ b2 PINFi+ ui (S=Savings)
Or, S= b0 GDP + b1 GDPi2+ 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, which does not depend upon the level of income (disposable income) or production. Autonomous savings is depicted as the vertical intercept on the savings schedule. Autonomous savings is negative of autonomous consumption. Negative autonomous savings indicates the amount of savings when income falls to zero.
(iv) The effect of other factors (i.e., factors not included in a regression equation, such as interest rate, consumer preferences, wealth), other than the independent variables of a model, is captured by the distu
ance term “u”, which is also known as the residual term.
(3) Table 3: OLS Estimation of Savings Rate (SR) on GDP Per-capita (GDPPC) and Inflation Rate (PINF)
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