Calculate basic descriptive statistics of selected variables

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Reference no: EM131926079

Applied Econometrics Homework Questions -

Q1. Based on the data obtained from any free database (for example, the World Bank database), prepare an E-views work file for the study, including the dependent variable and at least four independent variables. The number of observations is no less than 10 times greater than the number of variables.

Q2. Calculate the basic descriptive statistics of the selected variables (sample mean, sample standard deviation, sample variance, and others). Give an interpretation to the values found.

Q3. Draw the distributions and box-plots of every variable you have. Draw scatters of dependent variable with every regressor. Make assumption about the type and strength of linear dependence between variables.

Q4. Calculate the sample correlation matrix. Make assumptions about the type and degree of linear dependence between variables.

Q5. Calculate the Least Squares estimates of the coefficients of the multiple regression equation. Give an interpretation to the coefficients estimates, R-squared, Adjusted R-squared, AIC you found. Your answer should be as complete as possible.

Q6. Make conclusions about the significance of independent variables (p-statistics) and the regression equation as a whole.

Q7. Evaluate several models of pair and multiple regression and select one that you think is the best. Explain why you think so.

Q8. Split your sample in two subsamples: 90% of obs - "training sample", and 10% - "test sample". Evaluate your model using the data of the first subsample and, make a forecast for the dependent variable of the second subsample. Compare the y-hat obtain with the true y.

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Reference no: EM131926079

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len1926079

4/3/2018 4:58:44 AM

I have econometrics exam which requires the use of evirews. I will have to calculation and interpret the results. The exam starts at 6:30 Moscow time. The exam duration is about 90 minutes. Are you able to provide online help with the exam? The homework must be submitted within the deadline.

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