Question

We regress log GDP per capita, PPP in 1995 on the average expropriation risk, 1985-1995. OLS Regression Results Dep. Variable: Model: Method: Date: Time: No. Observations: Df Residuals: Df Model: Covariance Type: logpgp95 R-squared: 0.611 OLS Adj. R-squared: ????? Least Squares F-statistic: ????? Wed, 26 Sep 2018 Prob (F-statistic): 4.16e-24 00:43:01 Log-Likelihood: -119.71 111 AIC: 243.4 109 BIC: 248.8 1 nonrobust coef std err t P>|t| [0.025 0.975] const 4.6261 0.301 15.391 0.000 ????????????????? avexpr 0.5319 0.041 ?????? 0.000 0.451 0.612 Omnibus: 9.251 Durbin-Watson: 1.689 Prob (Omnibus): 0.010 Jarque-Bera (JB): 9.170 Skew: -0.680 Prob (JB): 0.0102 Kurtosis: 3.362 Cond. No. 33.2 a) Calculate the F-statistic. Looking at pvalue, explain if you reject or not th e null hypothesis.

          We regress log GDP per capita, PPP in 1995 on the average expropriation
risk, 1985-1995.
OLS Regression Results
Dep. Variable:
Model:
Method:
Date:
Time:
No. Observations:
Df Residuals:
Df Model:
Covariance Type:
logpgp95
R-squared:
0.611
OLS
Adj. R-squared:
?????
Least Squares
F-statistic:
?????
Wed, 26 Sep 2018
Prob (F-statistic):
4.16e-24
00:43:01
Log-Likelihood:
-119.71
111
AIC:
243.4
109
BIC:
248.8
1
nonrobust
coef
std err
t
P>|t|
[0.025
0.975]
const
4.6261
0.301
15.391
0.000
?????????????????
avexpr
0.5319
0.041
??????
0.000
0.451
0.612
Omnibus:
9.251
Durbin-Watson:
1.689
Prob (Omnibus):
0.010
Jarque-Bera (JB):
9.170
Skew:
-0.680
Prob (JB):
0.0102
Kurtosis:
3.362
Cond. No.
33.2
a) Calculate the F-statistic. Looking at pvalue, explain if you reject or not th
e null hypothesis.

We regress log GDP per capita, PPP in 1995 on the average expropriation
risk, 1985-1995.
OLS Regression Results
Dep. Variable:
Model:
Method:
Date:
Time:
No. Observations:
Df Residuals:
Df Model:
Covariance Type:
logpgp95
R-squared:
0.611
OLS
Adj. R-squared:
?????
Least Squares
F-statistic:
?????
Wed, 26 Sep 2018
Prob (F-statistic):
4.16e-24
00:43:01
Log-Likelihood:
-119.71
111
AIC:
243.4
109
BIC:
248.8
1
nonrobust
coef
std err
t
P>|t|
[0.025
0.975]
const
4.6261
0.301
15.391
0.000
?????????????????
avexpr
0.5319
0.041
??????
0.000
0.451
0.612
Omnibus:
9.251
Durbin-Watson:
1.689
Prob (Omnibus):
0.010
Jarque-Bera (JB):
9.170
Skew:
-0.680
Prob (JB):
0.0102
Kurtosis:
3.362
Cond. No.
33.2
a) Calculate the F-statistic. Looking at pvalue, explain if you reject or not th
e null hypothesis.

Added by Peggy D.

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