Table 2   Overview of the Significant Explanatory and Correction Variables for Each Dependent Variable,,,,,,,,
,LNACCKSI,,LNACCLI,,LNPERKSI,,LNPERLI,
,State space ,Regression  ,State space ,Regression  ,State space ,Regression  ,State space ,Regression    
Laws,,,,,,,,
LAW0675,-0.132 (-3.31),-0.135 (-3.82),-0.062 (-2.13),-0.070 (-2.40),-0.180 (-4.07),-0.159 (-4.24),-0.109 (-3.35),-0.120 (-3.75)
LAW0192,,-0.062 (-1.87),-0.063 (-2.17),-0.071 (-2.50),-0.087 (-2.09),-0.076 (-2.11),,-0.064 (-2.03)
LAW1294,-0.109 (-2.72),-0.105 (-3.12),,,-0.104 (-2.50),-0.093 (-2.57),,
Weather conditions,,,,,,,,
QUAPREC,,,0.001 (4.12),0.001 (4.71),,,0.001 (3.85),0.001 (4.39)
PDAYPREC,,0.001 (3.34),0.001 (2.60),0.001 (2.84),0.001 (4.04),0.001 (4.02),0.001 (2.69),0.001 (2.88)
HRSSUN,0.000 (3.92),0.001 (5.35),0.001 (4.99),0.001 (5.38),0.001 (4.48),0.001 (4.80),0.000 (3.82),0.000 (4.17)
PDAYFROST,-0.002 (-5.93),-0.001 (-5.77),-0.001 (-5.73),-0.001 (-5.63),-0.001 (-4.82),-0.001 (-4.81),-0.001 (-4.44),-0.001 (-4.36)
PDAYTHUN,,,0.001 (2.12),0.001 (2.06),,,0.001 (2.03),0.001 (1.93)
Economic variables,,,,,,,,
LNUNEMP,,,,,0.117 (1.69), ,,
LNCAR,,,,,-0.078 (-2.11),,,
Correction variables,,,,,,,,
Jan-79,-0.553 (-10.02),-0.574 (-12.05),-0.456(-10.02),-0.441 (-10.40),-0.558 (-9.72),-0.550 (-10.75),-0.464 (-9.51),-0.458 (-9.97)
Jan-84,,,,,,,-0.450 (-9.28),-0.449 (-9.87)
Jan-85,-0.277 (-5.04),-0.282 (-5.85),-0.2711 (-6.00),-0.2852 (-6.80),-0.297(-5.22),-0.289 (-5.62),-0.276 (-5.67),-0.294 (-6.46)
Feb-97,-0.118 (-2.15),-0.128 (-2.66),-0.2033 (-4.50),-0.2181 (-5.08),-0.130 (-2.28),-0.124 (-2.31),-0.214 (-4.41),-0.238 (-5.09)
Forecasting measure,,,,,,,,
MSE(12),0.005,0.0046,0.0034,0.0052,0.007,0.0063,0.0036,0.0052
"Note: Calculated ccording to the state space method and the regression model with ARMA errors, together with the coefficients and t-values (in parentheses) and the MSE values of the predictions for 2000.",,,,,,,,