EQ( 2) Modelling Ly by OLS The dataset is: X:\Data roma LHRTL GDP K L.xls The estimation sample is: 1981(2) - 2008(1) Coefficient Std.Error t-value t-prob Part.R^2Ly_1 0.442323 0.08330 5.31 0.0000 0.2217Ly_4 0.739198 0.05238 14.1 0.0000 0.6679Ly_5 -0.385691 0.07916 -4.87 0.0000 0.1934LKPROMA 0.126887 0.03362 3.77 0.0003 0.1258LLLHTTL -0.777317 0.1153 -6.74 0.0000 0.3146LLLHTTL_1 0.584099 0.1194 4.89 0.0000 0.1946LLLHTTL_3 -0.207376 0.06024 -3.44 0.0008 0.1069LLLHTTL_4 0.612643 0.1105 5.54 0.0000 0.2369LLLHTTL_5 -0.405529 0.1249 -3.25 0.0016 0.0963sigma 0.0109461 RSS 0.0118617896log-likelihood 339.049no. of observations 108 no. of parameters 9mean(Ly) -2.20301 se(Ly) 0.203913AR 1-5 test: F(5,94) = 2.4738 [0.0376]* ARCH 1-4 test: F(4,100) = 2.2556 [0.0684] Normality test: Chi^2(2) = 1.4583 [0.4823] Hetero test: F(18,89) = 1.5350 [0.0966] Hetero-X test: F(54,53) = 2.1713 [0.0027]**RESET23 test: F(2,97) = 3.9246 [0.0230]*