Detection of Outliers in Panel Data of Intervention Effects Model Based on Variance of Remainder Disturbance

Table 1

Outlier detection results of the basic model through LM test.

Individual			LM-value	Outlier (yes/no)
#1	56.22	1052.80	1.38	No
#2	41.05	772.05	0.74	No
#3	17.56	330.87	5.23	No
#4	25.51	472.84	0.05	No
#5	7.01	98.36	42.88	Yes
#6	0.10	0.00	6.51	No
#7	0.42	4.76	4.57	No
#8	0.94	10.85	1.29	No
#9	52.52	996.65	7.29	No
#10	1.37	20.05	2.00	No
#11	5.11	95.80	7.22	No
#12	8.73	160.28	2.29	No
#13	16.05	282.91	9.26	No
#14	0.49	3.97	2.47	No
#15	3.38	56.06	0.66	No
#16	25.91	490.25	6.13	No
#17	8.19	153.57	6.16	No
#18	8.93	163.99	2.23	No
#19	8.92	146.43	10.90	Yes
#20	1.47	17.22	0.01	No
#21	68.49	1230.12	275.30	Yes
#22	31.74	599.70	4.51	No
#23	32.49	609.28	0.69	No
#24	3.79	63.53	0.51	No
#25	34.95	648.53	1.55	No
#26	2.73	48.91	4.93	No
#27	10.66	196.21	1.69	No
#28	1.82	23.83	0.01	No
#29	2.60	26.70	10.25	Yes
#30	0.34	2.12	3.42	No