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International Macroeconomics: MSc Economics Week 1: Question 1 Peter Stanley, David Glover, Daniel Funge and Bruce Moniri.

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Presentation on theme: "International Macroeconomics: MSc Economics Week 1: Question 1 Peter Stanley, David Glover, Daniel Funge and Bruce Moniri."— Presentation transcript:

1 International Macroeconomics: MSc Economics Week 1: Question 1 Peter Stanley, David Glover, Daniel Funge and Bruce Moniri

2 (a) Import the data into EViews 6. Go to file – open – Foreign Data Workfile Choose relevant file/data source (pppdata.xls) Format data as desired on Spreadsheet Read menu

3 Data 91 products representing a good for each country Q - represents the log of relative prices Q = In([p*e]/q) p – price of an unspecified good in a non US OECD country ( x ) q – price of the same good in the US e – nom exchange rate between the US and x. Monthly data from Jan81 – Dec95 (180 observations) for each good.

4 Data ……… ……… ……… ……… QPanelIDDATE

5 (b) Conduct unit root tests on Q reporting results with and without a trend. Process: View – Unit Root Test – choose root test (Lin-Levin or Im, Pesaran and Shin). Check menu box corresponding to trend/no trend choice.

6 Results trendIm, Pesaran and Shin W-stat no trendIm, Pesaran and Shin W-stat trendLevin, Lin & Chu t* no trendLevin, Lin & Chu t* Prob.**Statistic Trend/ No TrendMethod

7 Does the real exchange rate have a unit root? (LL test) Interpretation of Lin Levin results: for 5% significance level. If P > 0.05 Cannot reject unit root in all series. If P < 0.05 Reject. Our P (no trend): With trend: 1 Therefore, we cannot reject the existence of a unit root in all series.

8 Does the real exchange rate have a unit root? (IPS) Interpretation of Im, Pesaran & Shin test results: for 5% significance level. If P > 0.05 Cannot reject unit root in all series. If P < 0.05 Reject. Our P (no trend): 0 With trend: 0 Therefore, we can reject the existence of a unit root in all series, i.e. IPS suggests that at least one series is stationary.

9 (c) Estimate an AR(1) Model for Q using the fixed effects estimator. Fixed effects requires the creation of a dummy for each panel cross section. EViews will do this for you if you ensure your data is set in a recognised panel format. Process: Quick – Estimate Equation – Type equation as Q = C(1) + C(2)*Q(-1) - select fixed effects in panel options.

10 Results Q(-1) C Prob.t-StatisticStd. ErrorCoefficient

11 What is the half-life for the real exchange rate? Take coefficient from fixed effects panel regression. Using 1 as the t=1 value, calculate number of periods required to take series value to 0.5. Using formula: log(0.5)/log(p)=log(0.5)/log( )=48.01

12 Half-life

13 (d) Estimate an AR(1) model for each good separately. Process: un-stack the data using the reshape current page function in EViews. This splits panel data into separate cross- sections. Then run an AR(1) on each separate cross- section. Results – Mean: , Standard Deviation:

14 Results


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