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Table 3 Estimates of the parameters with mean squared errors (in parentheses) using the t distribution (3 degrees of freedom)

From: Sample selection bias with multiple dependent selection rules: an application to survey data analysis with multilevel nonresponse

Case

Parameter

TRUE

BSM (two-step)

BSM (one-step)

USM (one-step)

CC

1

\(\alpha _{11}\)

4.50

3.23 (1.30)

3.23 (1.30)

2.88 (1.76)

3.23 (1.30)

\(\alpha _{12}\)

− 0.60

− 0.43 (0.17)

− 0.43 (0.17)

− 0.39 (0.22)

− 0.43 (0.17)

\(\alpha _{21}\)

1.00

0.99 (0.27)

0.98 (0.27)

–

0.63 (0.39)

\(\alpha _{22}\)

0.00

− 0.04 (0.09)

− 0.05 (0.10)

–

0.09 (0.09)

\(\beta _{1}\)

− 1.00

− 0.78 (0.24)

− 0.81 (0.25)

− 0.80 (0.22)

− 0.78 (0.24)

\(\beta _{2}\)

1.50

1.42 (0.09)

1.45 (0.06)

1.45 (0.08)

1.42 (0.09)

\(\rho _{01}\)

− 0.50

− 0.01 (0.40)

− 0.17 (0.28)

− 0.80 (0.40)

–

\(\rho _{02}\)

0.00

0.00 (0.00)

− 0.08 (0.42)

–

–

\(\rho _{12}\)

0.00

0.14 (0.43)

0.17 (0.47)

–

–

\(\sigma _{00}\)

1.00

1.92 (1.00)

2.12 (1.18)

2.09 (1.18)

1.93 (1.01)

2

\(\alpha _{11}\)

2.00

1.58 (0.43)

1.52 (0.49)

2.18 (0.18)

1.58 (0.43)

\(\alpha _{12}\)

− 0.20

− 0.15 (0.05)

− 0.14 (0.06)

− 0.34 (0.14)

− 0.15 (0.05)

\(\alpha _{21}\)

5.00

4.64 (0.49)

4.12 (1.01)

–

3.69 (1.31)

\(\alpha _{22}\)

− 0.70

− 0.58 (0.13)

− 0.54 (0.16)

–

− 0.40 (0.30)

\(\beta _1\)

− 1.00

1.60 (3.50)

− 0.88 (0.16)

− 1.09 (0.18)

− 0.83 (0.22)

\(\beta _2\)

1.50

2.81 (1.85)

1.47 (0.03)

1.56 (0.07)

1.38 (0.12)

\(\rho _{01}\)

− 0.50

− 0.60 (0.53)

− 0.61 (0.36)

− 0.67 (0.28)

–

\(\rho _{02}\)

− 0.50

− 0.15 (0.78)

− 0.25 (0.44)

–

–

\(\rho _{12}\)

0.50

− 0.25 (1.02)

0.14 (0.92)

–

–

\(\sigma _{00}\)

> 5.00

1.67 (> 5.00)

2.43 (1.45)

2.49 (1.50)

2.02 (1.03)

3

\(\alpha {11}\)

4.5

3.01 (1.50)

3.08 (1.42)

1.06 (3.74)

3.00 (1.50)

\(\alpha {12}\)

− 0.5

− 0.33 (0.17)

− 0.34 (0.16)

− 0.08 (0.46)

− 0.33 (0.17)

\(\alpha {21}\)

− 3

− 2.08 (0.95)

− 2.17 (0.89)

–

− 2.00 (1.01)

\(\alpha {22}\)

1

0.71 (0.30)

0.73 (0.28)

–

0.69 (0.31)

\(\beta {0}\)

− 1

− 2.12 (2.88)

− 0.38 (0.73)

− 0.43 (0.70)

0.06 (1.07)

\(\beta _{1}\)

1.5

1.79 (0.64)

1.39 (0.13)

1.34 (0.16)

1.32 (0.18)

\(\rho _{01}\)

− 0.5

− 0.40 (0.50)

− 0.15 (0.46)

0.63 (1.14)

–

\(\rho _{02}\)

0.5

0.28 (0.47)

0.31 (0.38)

–

–

\(\rho _{12}\)

− 0.5

− 0.69 (0.36)

− 0.80 (0.45)

–

–

\(\sigma _{00}\)

> 5.00

1.01 (> 5.00)

1.73 (0.76)

2.01 (1.09)

1.69 (0.71)

  1. The same as that of Table 1