パネルデータの分析(アウトプット)
Current sample: 1 to 315 PANEL DATA ESTIMATION ===================== Balanced data: NI= 45, T= 7, NOB= 315 MEANS LP RND 1 3.44270 0.82697 2 3.74107 3.18381 3 3.54673 2.67226 4 3.17713 1.91184 5 4.98884 3.67591 6 2.30042 2.78604 7 2.86710 0.73409 8 5.28396 4.01279 9 4.31468 2.82250 10 6.28954 4.69159 11 3.29829 2.80433 12 2.89655 1.95578 13 3.54517 1.74453 14 3.70121 2.55766 15 3.23822 1.96801 16 4.20635 3.10155 17 3.91651 4.03314 18 4.49880 3.61156 19 4.57122 3.31175 20 3.17112 2.71292 21 2.28437 2.26355 22 1.05574 1.91760 23 5.15695 4.38651 24 3.78036 2.46449 25 4.23766 3.49536 26 4.28782 2.15422 27 4.54269 3.37103 28 0.74185 0.45409 29 3.39656 2.30046 30 1.55524 1.37511 31 5.99545 4.56926 32 1.34295 0.57124 33 2.30748 -0.47463 34 5.92303 4.87626 35 0.85009 -0.37637 36 2.93765 1.65770 37 5.45930 4.80464 38 4.99428 3.42105 39 2.94603 2.98607 40 3.87350 3.05416 41 3.39583 2.51568 42 4.68600 3.07377 43 3.99318 2.10062 44 4.34009 3.25801 45 3.92536 3.28515 TOTAL (plain OLS) Estimates: Dependent variable: LP Mean of dep. var. = 3.66678 R-squared = .651075 Std. dev. of dep. var. = 1.35057 Adjusted R-squared = .649961 Sum of squared residuals = 199.845 LM het. test = 21.8826 [.000] Variance of residuals = .638481 Durbin-Watson = .235514 [.000,.000] Std. error of regression = .799050 Estimated Standard Variable Coefficient Error t-statistic P-value RND .845443 .034983 24.1670 [.000] C 1.43811 .102622 14.0137 [.000] F test of A,B=Ai,Bi: F(88,225) = 17.853, P-value = [.0000] Critical F value for diffuse prior (Leamer, p.114) = 10.197 BETWEEN (OLS on means) Estimates: Dependent variable: LP Mean of dep. var. = 3.66678 Std. error of regression = .717336 Std. dev. of dep. var. = 1.31898 R-squared = .710942 Sum of squared residuals = 22.1266 Adjusted R-squared = .704219 Variance of residuals = .514571 LM het. test = 4.03760 [.044] Estimated Standard Variable Coefficient Error t-statistic P-value RND .871428 .084737 10.2839 [.000] C 1.36962 .247651 5.53043 [.000] WITHIN (fixed effects) Estimates: Dependent variable: LP Mean of dep. var. = 3.66678 R-squared = .936886 Std. dev. of dep. var. = 1.35057 Adjusted R-squared = .926328 Sum of squared residuals = 36.1480 LM het. test = 37.8625 [.000] Variance of residuals = .134379 Durbin-Watson = 1.22755 [.000,.000] Std. error of regression = .366577 Estimated Standard Variable Coefficient Error t-statistic P-value RND .195514 .081854 2.38856 [.018] F test of Ai,B=Ai,Bi: F(44,225) = 2.2699, P-value = [.0001] Critical F value for diffuse prior (Leamer, p.114) = 6.3073 F test of A,B=Ai,B: F(44,269) = 27.686, P-value = [.0000] Critical F value for diffuse prior (Leamer, p.114) = 7.5407 Variance Components (random effects) Estimates: VWITH (variance of Uit) = 0.13438 VBET (variance of Ai) = 0.50410 (computed from small sample formula) THETA (0=WITHIN, 1=TOTAL) = 0.36685E-01 Dependent variable: LP Mean of dep. var. = 3.66678 R-squared = .651075 Std. dev. of dep. var. = 1.35057 Adjusted R-squared = .649961 Sum of squared residuals = 255.460 LM het. test = 4.24193 [.039] Variance of residuals = .816166 Durbin-Watson = .175883 [.000,.000] Std. error of regression = .903419 Estimated Standard Variable Coefficient Error t-statistic P-value RND .518942 .059111 8.77911 [.000] C 2.29880 .189497 12.1311 [.000] Hausman test of H0:RE vs. FE: CHISQ(1) = 32.627, P-value = [.0000]