Box No. 1: Regressions
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Box No. 1: Regressions Model 1. PowerPoint PPT Presentation


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Box No. 1: Regressions Model 1. Ln X ij = - 5.319 - 0.792LnD ij + 0.0055 IDBF i 94 + 0.123Ln(Y i *Y j ). ( -2.801). (-7.63). (1.64). ( 1.862). + 0.595 Ln ( GDP i *GDP j ) +0.704Asean -0.123MAU + 0.38GCC. (8.753). (2.918). ( -0.464). ( 1.514).

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Box No. 1: Regressions Model 1.

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Box no 1 regressions model 1

Box No. 1: Regressions

Model 1.

Ln Xij = - 5.319 - 0.792LnDij + 0.0055 IDBFi 94 + 0.123Ln(Yi*Yj )

( -2.801)

(-7.63)

(1.64)

( 1.862)

+ 0.595 Ln ( GDPi*GDPj) +0.704Asean -0.123MAU + 0.38GCC

(8.753)

(2.918)

( -0.464)

( 1.514)

R-Square = 0.409 Adjusted R-Square = 0.392

F( 7,253) = 24.963 [ 0.000]

RSS = 319.161

for 7 variables and 260 observations

Model 2 ( Revised Model )

Ln Xij = - 5.211 - 0.802LnDij + 0.0057 IDBFi 94 + 0.119Ln (Yi*Yj) +

0.595 Ln ( GDPi*GDPj )

( -2.769)

(-7.924)

(1.711)

( 1.82)

( 8.762)

+0.415 GCC + 0.747 Asian

(1.738)

( 3.361)

R-Square = 0.408 Adjusted R-Square = 0.394 F( 6,254) = 29.178 [ 0.000]

RSS = 318.769

for 6 variables and 260 observations

The values given between parentheses and below the coefficients represent

the t-statistics

31


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