Research Article

Health Transition Probability and Long-Term Care Cost Estimation

Table 3

Three-year transition matrices by gender and state.

AgeStateMenWomen
12341234

65–7010.6750.2400.0240.0610.5330.3770.0500.040
20.3870.4200.1000.0930.3770.4590.1060.058
30.2010.4000.2490.1500.1920.4230.2690.115

70–7510.5280.2820.0710.1190.5230.2750.1450.057
20.3950.3540.1110.1400.2070.5790.1190.095
30.2360.2550.1460.3640.1840.1430.4290.245

75–8010.3200.3900.0970.1930.3010.4250.1560.119
20.1970.4120.1860.2050.1650.3780.2700.186
30.0630.2810.2190.4380.0650.2900.3710.274

80–8510.3200.3140.1440.2220.1900.4360.2220.152
20.1120.3780.2010.3100.0500.3480.3540.248
30.0520.2800.2640.4040.0190.2530.3740.354

85–9010.0760.4850.1950.2450.0460.4150.3050.234
20.0360.3190.2100.4340.0300.3050.3730.292
30.0180.1680.2580.5560.0120.1200.3810.488

90–9510.0340.3270.2360.4040.0390.1920.3080.462
20.0150.1980.2590.5280.0050.2120.4230.360
30.0100.0910.2380.6610.0060.0760.3300.588

95+10.0830.2500.2500.4170.0160.0940.4010.490
20.0190.1810.2450.5560.0110.1580.3080.523
30.0030.0540.1920.7500.0010.0270.2480.723

Note: 1. The sum of each row is not strictly equal to 1 due to rounding off; 2. State 4 being an absorption state, the probabilities of transition to states 1, 2, 3, and 4 are 0, 0, 0, and 1, respectively, and to simplify the table, they are not listed but cannot be omitted in subsequent matrices calculations.