Yearly analysis Confidence interval ci ch4

Transcripción

1 Data obtained from the statistical program stata: Yearly analysis Confidence interval ci sum,d Percentiles Smallest 1% 0 0 5% % Obs % Sum of Wgt % 54.8 Mean Largest Std. Dev % % Variance % Skewness % Kurtosis Model AR(1) prais, rhotype(regress) Iteration 1: rho = Iteration 2: rho = Iteration 3: rho = Source SS df MS Number of obs = F( 1, 241) = 5.13 Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = Coef. Std. Err. t P> t [95% Conf. Interval] _cons rho Durbin-Watson statistic (original) Durbin-Watson statistic (transformed)

2 Tendencia Ch4 Todo el Periodo Dec Feb Apr Jun Aug 07 Trend of all the period Tendencia Ch4 Anual Dec Feb Apr Jun Aug 07 Lsaño Liaño mediaño

3 Monthly analysis by mes:sum -> mes = 1 Variable Obs Mean Std. Dev. Min Max > mes = 2 Variable Obs Mean Std. Dev. Min Max > mes = 3 Variable Obs Mean Std. Dev. Min Max > mes = 4 Variable Obs Mean Std. Dev. Min Max > mes = 5 Variable Obs Mean Std. Dev. Min Max > mes = 6 Variable Obs Mean Std. Dev. Min Max > mes = 7 Variable Obs Mean Std. Dev. Min Max > mes = 12 Variable Obs Mean Std. Dev. Min Max

4 Confidence intervals by mes:ci -> mes = > mes = > mes = > mes = > mes = > mes = > mes = > mes =

5 Model AR(1). prais if mes==12, rhotype(regress) Iteration 1: rho = Iteration 2: rho = Iteration 3: rho = Iteration 4: rho = Iteration 5: rho = Source SS df MS Number of obs = F( 1, 29) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = Coef. Std. Err. t P> t [95% Conf. Interval] _cons rho Durbin-Watson statistic (original) Durbin-Watson statistic (transformed) prais if mes==1, rhotype(regress) Iteration 1: rho = Iteration 2: rho = Iteration 3: rho = Iteration 4: rho = Source SS df MS Number of obs = F( 1, 29) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = Coef. Std. Err. t P> t [95% Conf. Interval] _cons rho Durbin-Watson statistic (original) Durbin-Watson statistic (transformed)

6 prais if mes==2, rhotype(regress) Iteration 1: rho = Iteration 2: rho = Iteration 3: rho = Iteration 4: rho = Iteration 5: rho = Iteration 6: rho = Iteration 7: rho = Source SS df MS Number of obs = F( 1, 26) = 4.24 Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = Coef. Std. Err. t P> t [95% Conf. Interval] _cons rho Durbin-Watson statistic (original) Durbin-Watson statistic (transformed) prais if mes==3, rhotype(regress) Iteration 1: rho = Iteration 2: rho = Iteration 3: rho = Iteration 4: rho = Source SS df MS Number of obs = F( 1, 29) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = Coef. Std. Err. t P> t [95% Conf. Interval] _cons rho Durbin-Watson statistic (original) Durbin-Watson statistic (transformed) prais if mes==4, rhotype(regress) Iteration 1: rho =

7 Iteration 2: rho = Iteration 3: rho = Iteration 4: rho = Source SS df MS Number of obs = F( 1, 28) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = Coef. Std. Err. t P> t [95% Conf. Interval] _cons rho Durbin-Watson statistic (original) Durbin-Watson statistic (transformed) prais if mes==5, rhotype(regress) Iteration 1: rho = Iteration 2: rho = Iteration 3: rho = Iteration 4: rho = Iteration 5: rho = Source SS df MS Number of obs = F( 1, 29) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = Coef. Std. Err. t P> t [95% Conf. Interval] _cons rho Durbin-Watson statistic (original) Durbin-Watson statistic (transformed)

8 prais if mes==6, rhotype(regress) Iteration 1: rho = Iteration 2: rho = Iteration 3: rho = Iteration 4: rho = Source SS df MS Number of obs = F( 1, 28) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = Coef. Std. Err. t P> t [95% Conf. Interval] _cons rho Durbin-Watson statistic (original) Durbin-Watson statistic (transformed) prais if mes==7, rhotype(regress) Iteration 1: rho = Iteration 2: rho = Iteration 3: rho = Iteration 4: rho = Source SS df MS Number of obs = F( 1, 29) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = Coef. Std. Err. t P> t [95% Conf. Interval] _cons rho Durbin-Watson statistic (original) Durbin-Watson statistic (transformed)

9 December trend Tendencia Ch4 mes Diciembre Dec Dec Dec Dec Jan 07 promm12 Linm12 Lism12 January trend Tendencia Ch4 mes Enero Jan Jan Jan Jan Jan 07 Lism1 Linm1 promm1

10 February trend Tendencia Ch4 mes Febrero Jan Feb Feb Feb Feb 07 Lism2 Linm2 promm2 March trend Tendencia Ch4 mes Marzo Feb Mar Mar Mar Mar Apr 07 Lism3 Linm3 promm3

11 April trend Tendencia Ch4 mes Abril Apr Apr Apr Apr Apr 07 Lism4 Linm4 promm4 May trend Tendencia Ch4 mes Mayo Apr May May May May 07 Lism5 Linm5 promm5

12 June trend Tendencia Ch4 mes Junio Jun Jun Jun Jun Jul 07 Lism6 Linm6 promm6 July trend Tendencia Ch4 mes Julio Jul Jul Jul Jul Jul 07 Lism7 Linm7 promm7

13 December trend Tendencia Ch4 mes Diciembre January trend 03 Dec Dec Dec Dec Jan 07 Tendencia Ch4 mes Enero Jan Jan Jan Jan Jan 07

14 February trend Tendencia Ch4 mes Febrero Jan Feb Feb Feb Feb 07 March trend Tendencia Ch4 mes Marzo Feb Mar Mar Mar Mar Apr 07

15 April trend Tendencia Ch4 mes Abril Apr Apr Apr Apr Apr 07 May trend Tendencia Ch4 mes Mayo Apr May May May May 07

16 June trend Tendencia Ch4 mes Junio Jun Jun Jun Jun Jul 07 July trend Tendencia Ch4 mes Julio Jul Jul Jul Jul Jul 07