e Views Tutorial
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EVIEWS Tutorial Have the "Introduction to EVIEWS" handout handy as you tackle this tutorial. It will serve you as a quick guide to the most basic commands in EVIEWS. Complete the following tasks In EVIEWS Tutorial data.XLS is a spreadsheet called “Term Structure Data” displaying US interest rate time series with different maturities. These are weekly data starting in the week ending 3 Aug 2001 to 21 Jan 2005 (182 observations). Load these data into an EVIEWS file. When you open a new worksheet you are asked for the frequency of the data. Using the "irregular" class is the easiest. However, you can choose the "weekly" option and enter the first and last date as requested (use the American date convention: MMDDYYYY). Also check the entry in the "upper-left-data-cell" box for correctness. If you want to use the names in the EXCEL file you merely have to indicte the number of series to be imported but make sure that the names in EXCEL start wit a letter rather than a number. 1. Create an informative, graphical representations of the data. 2. Is there significant autocorrelation data series? 3. Are the interest rates with different maturities correlated? 4. Create time series of the 1 year – 1 month and 10 year – 1 year interest rate spreads. 5. Are they autocorrelated? 6. Calculate the first difference x t = x t – x t-1 for all 5 interest rate series. 7. Are they autocorrelated? 8. Estimate a regression with m1 t as the dependent variable and all other changes as explanatory variables. 9. Interpret the regression results obtained. 10. Test whether you can restrict the sum of all coefficients (bar the constant) to be equal to 1.
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economia
Transcript of e Views Tutorial
EVIEWS Tutorial
Have the "Introduction to EVIEWS" handout handy as you tackle this tutorial. It will serve you as a quick guide to the most basic commands in EVIEWS.
Complete the following tasks
In EVIEWS Tutorial data.XLS is a spreadsheet called “Term Structure Data” displaying US interest rate time series with different maturities. These are weekly data starting in the week ending 3 Aug 2001 to 21 Jan 2005 (182 observations). Load these data into an EVIEWS file. When you open a new worksheet you are asked for the frequency of the data. Using the "irregular" class is the easiest. However, you can choose the "weekly" option and enter the first and last date as requested (use the American date convention: MMDDYYYY). Also check the entry in the "upper-left-data-cell" box for correctness. If you want to use the names in the EXCEL file you merely have to indicte the number of series to be imported but make sure that the names in EXCEL start wit a letter rather than a number.
1. Create an informative, graphical representations of the data.2. Is there significant autocorrelation data series? 3. Are the interest rates with different maturities correlated? 4. Create time series of the 1 year – 1 month and 10 year – 1 year interest rate
spreads.5. Are they autocorrelated?6. Calculate the first difference xt = xt – xt-1 for all 5 interest rate series.7. Are they autocorrelated?8. Estimate a regression with m1t as the dependent variable and all other changes as
explanatory variables. 9. Interpret the regression results obtained.10. Test whether you can restrict the sum of all coefficients (bar the constant) to be
equal to 1.11. Re-estimate this regression only for the post Sept 11 sample.
Close the current file without saving.
We will work with a second data set in the same EXCEL file, “House Prices”. These are records of 88 House Sales in the US.
1. "The house prices in this sample are normally distributed." Correct?2. Estimate a regression with the house price as dependent and house- and lotsize,
number of bedrooms and the colonial variable as explanatory variables.3. How can the variable with the assessed house price be incorporated into this
relationship?4. For one of your regressions graph the fitted values and residuals and copy this
graph into a Word document.
