plt.legend(loc="upper left",
labels=[y_label1, y_label2],
bbox_to_anchor=(0, 1.17))
# remove lines marking units on the axis
ax.xaxis.set_ticks_position('none')
ax.yaxis.set_ticks_position('none')
plt.show()
plt.close()
data = pd.read_csv("cleanedEconFreedomData.csv")
reg = Regression()
y_var = ["GDP per Capita (PPP)"]
x_vars = [
"Judical Effectiveness", "Property Rights", "Fiscal Health",
"Investment Freedom ", "Financial Freedom", "Inflation (%)",
"Public Debt (% of GDP)"
]
reg.OLS("GDP Per Capita Restricted", data, y_var, x_vars)
plot_scatter_with_estimator(reg.data, x_vars, y_var)
x_vars_unrestricted = x_vars
x_vars_restricted = ["Judical Effectiveness", "Property Rights"]
reg.OLS("GDP Per Capita Restricted", data, y_var, x_vars_restricted)
reg.OLS("GDP Per Capita Unrestricted", data, y_var, x_vars_unrestricted)
joint_f_test = reg.joint_f_test("GDP Per Capita Unrestricted",
"GDP Per Capita Restricted")
joint_f_test.to_csv("Joint F_test; y = " + reg.y_name[0] + "; " +\
joint_f_test.index.name + ".csv")
