An interpretation for the picture below
Homework Answers
The mean of the observations is close to zero. The deviation from the mean which is measured by standard deviation is quite big that is 15558.97. Skewness is a measure of observations symmetry. Here the skewness measure is positive that is 1.387931 which means that the data set is positively skewed. A positive skewness implies that the size of the right tail is larger than the size of left tail. Kurtosis measures the peakedness of the data set. When a distribution is normal then the kurtosis measure is 3. Here the measure is 5.388834, this is leptokurtic.
Jarque-bera test is done to check the normality of the data.
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An interpretation for the picture below
Equation: UNTITLED workfile: DATA-ECONOMETRICS:Data-econometrics\ - View Proc Object Print Name...
An interpretation for Heteroskedasticity for below picture E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. View Proc Object...
An interpretation for Heteroskedasticity for below picture
E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. View Proc Object Print Name Freeze Estimate Forecast Stats Resids Heteroskedasticity Test: Breusch-Pagan-Godfrey X F-statistic Obs R-squared Scaled explained SS 5.112724 Prob. F(4,137) 18.44402 Prob. Chi-Square(4) 37.67378 0.0007 0.0010 0.0000 Prob. Chi-Square(4) Test Equation: Dependent Variable: RESID 2 Method: Least Squares Date: 01/19/19 Time: 22:00 Sample: 2 264 Included observations: 142 Variable Coefficient Std. Error t-Statistic Prob 4.54E+08 2.09E+08 2.170543 0.0317 EDUEXPENSES 85458316 30075552 2.841455 0.0052 805579.71666856....
An interpretation is needed for the below E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. X View Proc...
An interpretation is needed for the below
E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. X View Proc Object Print Name Freeze Estimate Forecast Stats Resids Dependent Variable: GDPPERCAPITA Method: Least Squares Date: 01/19/19 Time: 21:27 Sample (adjusted): 2 264 Included observations: 142 after adjustments Variable Coefficient Std. Error t-Statistic Prob EDUEXPENSES 3409.799982.7287 3.469726 0.0007 60.62503 50.33194 1.204504 0.2305 248.8894 62.51844 3.981056 0.0001 299.3805 136.4002 2.194869 0.0299 529.2544297.0670 1.781599 0.0771 VALUEADDAGRI 840.2738 141.5672 -5.935512 0.0000 2227.235 7946.208 0.280289 0.7797 EXPORTS FDINFLOWS GSAVING...
An interpretation is needed for the below picture E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. X View...
An interpretation is needed for the below picture
E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. X View Proc Object Print Name Freeze Estimate Forecast Stats Resids Dependent Variable: GDPPERCAPITA Method: Least Squares Date: 01/19/19 Time: 21:40 Sample (adjusted): 2 264 Included observations: 142 after adjustments Variable Coefficient Std. Error t-Statistic Prob EDUEXPENSES FDINFLOWS GSAVING UNEMPR 3430.904 984.1997 3.485983 0.0007 285.7443 54.60948 5.232504 0.0000 321.8211 135.3456 2.377772 0.0188 557.7184 296.6160 1.880271 0.0622 VALUEADDAGRI 898.3994 133.3089 6.739232 0.0000 4784.332 7670.051 0.623768 0.5338 R-squared...
An interpretation for Ramsey test for the below picture E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. X...
An interpretation for Ramsey test for the below picture
E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. X View Proc Object Print Name Freeze Estimate Forecast Stats Resids Ramsey RESET Test Equation: UNTITLED Specification: GDPPERCAPITA FDINFLOWS EDUEXPENSES VALUEADDAGRI GSAVING C Omitted Variables: Squares of fitted values Value 1.16784 .41530 1, 136) 0 6.3273.. df 136 t-statistic F-statistic Likelihood ratio Probabil 0.2311 0.2299 0.2287 F-test summary: Sum of Sq 7.52E+09 3.41E+10 2.66E+10 df Test SSR Restricted SSR Unrestricted SSR Mean Squares 7.52E+09 2.49E+08...
is this a stationary series? why? G Group: UNTITLED Workfile: LAST:Untitled\ View Proc Object Print Name...
is this a stationary series? why?
G Group: UNTITLED Workfile: LAST:Untitled\ View Proc Object Print Name Freeze Default х Options Zoom Position Sample Sheet Stats Spec 2.6 2.4 2.2 2.0 1.8 1.6 1.4 1.2 1.0 1980 2000 2005 1985 1990 1995 2010 2015 2019Q3 1979Q1
Attached are the results of a diagnostic test on an estimated model, autocorrelation, heteoskedasticity and non-normal...
Attached are the results of a diagnostic test on an estimated
model, autocorrelation, heteoskedasticity and non-normality
respectivey, can you please comment on the results and state the
conclusion for each test using a 5% significance level
Breusch-Godfrey Serial Correlation LM Test F-statistic Obs R-squared 0.7659 0.7612 0.458959 Prob. F(4,438) 1.861565 Prob. Chi-Square(4) Test Equation: Dependent Variable: RESID Method: Least Squares Date: 05/22/19 Time: 22:02 Sample: 1982M01 2019M02 Included observations: 446 Presample missing value lagged residuals set to zero. Coefficient Std....
An interpretation for Heteroskedasticity for below picture
E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. View Proc Object Print Name Freeze Estimate Forecast Stats Resids Heteroskedasticity Test: Breusch-Pagan-Godfrey X F-statistic Obs R-squared Scaled explained SS 5.112724 Prob. F(4,137) 18.44402 Prob. Chi-Square(4) 37.67378 0.0007 0.0010 0.0000 Prob. Chi-Square(4) Test Equation: Dependent Variable: RESID 2 Method: Least Squares Date: 01/19/19 Time: 22:00 Sample: 2 264 Included observations: 142 Variable Coefficient Std. Error t-Statistic Prob 4.54E+08 2.09E+08 2.170543 0.0317 EDUEXPENSES 85458316 30075552 2.841455 0.0052 805579.71666856....
An interpretation is needed for the below
E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. X View Proc Object Print Name Freeze Estimate Forecast Stats Resids Dependent Variable: GDPPERCAPITA Method: Least Squares Date: 01/19/19 Time: 21:27 Sample (adjusted): 2 264 Included observations: 142 after adjustments Variable Coefficient Std. Error t-Statistic Prob EDUEXPENSES 3409.799982.7287 3.469726 0.0007 60.62503 50.33194 1.204504 0.2305 248.8894 62.51844 3.981056 0.0001 299.3805 136.4002 2.194869 0.0299 529.2544297.0670 1.781599 0.0771 VALUEADDAGRI 840.2738 141.5672 -5.935512 0.0000 2227.235 7946.208 0.280289 0.7797 EXPORTS FDINFLOWS GSAVING...
An interpretation is needed for the below picture
E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. X View Proc Object Print Name Freeze Estimate Forecast Stats Resids Dependent Variable: GDPPERCAPITA Method: Least Squares Date: 01/19/19 Time: 21:40 Sample (adjusted): 2 264 Included observations: 142 after adjustments Variable Coefficient Std. Error t-Statistic Prob EDUEXPENSES FDINFLOWS GSAVING UNEMPR 3430.904 984.1997 3.485983 0.0007 285.7443 54.60948 5.232504 0.0000 321.8211 135.3456 2.377772 0.0188 557.7184 296.6160 1.880271 0.0622 VALUEADDAGRI 898.3994 133.3089 6.739232 0.0000 4784.332 7670.051 0.623768 0.5338 R-squared...
An interpretation for Ramsey test for the below picture
E Equation: UNTITLED Workfile: DATA ECONOMETRICS::Data_e.. X View Proc Object Print Name Freeze Estimate Forecast Stats Resids Ramsey RESET Test Equation: UNTITLED Specification: GDPPERCAPITA FDINFLOWS EDUEXPENSES VALUEADDAGRI GSAVING C Omitted Variables: Squares of fitted values Value 1.16784 .41530 1, 136) 0 6.3273.. df 136 t-statistic F-statistic Likelihood ratio Probabil 0.2311 0.2299 0.2287 F-test summary: Sum of Sq 7.52E+09 3.41E+10 2.66E+10 df Test SSR Restricted SSR Unrestricted SSR Mean Squares 7.52E+09 2.49E+08...
is this a stationary series? why?
G Group: UNTITLED Workfile: LAST:Untitled\ View Proc Object Print Name Freeze Default х Options Zoom Position Sample Sheet Stats Spec 2.6 2.4 2.2 2.0 1.8 1.6 1.4 1.2 1.0 1980 2000 2005 1985 1990 1995 2010 2015 2019Q3 1979Q1
Attached are the results of a diagnostic test on an estimated
model, autocorrelation, heteoskedasticity and non-normality
respectivey, can you please comment on the results and state the
conclusion for each test using a 5% significance level
Breusch-Godfrey Serial Correlation LM Test F-statistic Obs R-squared 0.7659 0.7612 0.458959 Prob. F(4,438) 1.861565 Prob. Chi-Square(4) Test Equation: Dependent Variable: RESID Method: Least Squares Date: 05/22/19 Time: 22:02 Sample: 1982M01 2019M02 Included observations: 446 Presample missing value lagged residuals set to zero. Coefficient Std....
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