-19.845 ** 8.017 -2.480 0.015 Constant 0.919 R-squared 0.918 Adj R-squared 138 n Statistical significance indicated by asterisks at the 10% level * | 5% level ** | 1% level *** Table : Linear regression results of transition to innovation patent impact on intercept, with GDP as explanatory variable Dependent variable: number of second-tier patent applications received Std. Explanatory Variables Coef. Err. t P>|t| 0.001 *** 0.000 15.890 0.000 GDP - chain volume measure 75.864 *** 13.004 5.830 0.000 Dummy variable indicating change in system -166.067 *** 15.634 -10.620 0.000 Constant 0.931 R-squared 0.930 Adj R-squared 138 n Statistical significance indicated by asterisks at the 10% level * | 5% level ** | 1% level *** Table : Linear regression and chow test results of transition to innovation patent impact on intercept and slope, with time as explanatory variable Dependent variable: number of second-tier patent applications received Std. Explanatory Variables Coef. Err. t P>|t| 1.659 *** 0.136 12.210 0.000 Time -184.954 *** 35.196 -5.260 0.000 Dummy variable indicating change in system 2.884 *** 0.332 8.690 0.000 Time multiplied by dummy (slope) 1.428 6.886 0.210 0.836 Constant 0.948 R-squared 0.947 Adj R-squared 138 n F(2,134) = 90.01 Chow test that dummy variable and time *** Prob > F = 0.000 multiplied by variable= 0
Constant -19.845 ** 8.017 -2.480 0.015 R-squared 0.919 Adj R-squared 0.918 n 138 Statistical significance indicated by asterisks at the 10% level * | 5% level ** | 1% level *** Table : Linear regression results of transition to innovation patent impact on intercept, with GDP as explanatory variable Dependent variable: number of second-tier patent applications received Explanatory Variables Coef. Std. Err. t P>|t| GDP - chain volume measure 0.001 *** 0.000 15.890 0.000 Dummy variable indicating change in system 75.864 *** 13.004 5.830 0.000 Constant -166.067 *** 15.634 -10.620 0.000 R-squared 0.931 Adj R-squared 0.930 n 138 Statistical significance indicated by asterisks at the 10% level * | 5% level ** | 1% level *** Table : Linear regression and chow test results of transition to innovation patent impact on intercept and slope, with time as explanatory variable Dependent variable: number of second-tier patent applications received Explanatory Variables Coef. Std. Err. t P>|t| Time 1.659 *** 0.136 12.210 0.000 Dummy variable indicating change in system -184.954 *** 35.196 -5.260 0.000 Time multiplied by dummy (slope) 2.884 *** 0.332 8.690 0.000 Constant 1.428 6.886 0.210 0.836 R-squared 0.948 Adj R-squared 0.947 n 138 Chow test that dummy variable and time F(2,134) = 90.01 multiplied by variable= 0 *** Prob > F = 0.000