Các yếu tố tác động đến nợ xấu tại các ngân hàng thương mại Việt Nam - 13


Random-effects GLS regression

Number of obs

=

215

Group variable: stt

Number of groups

=

24

R-sq: within

=

0.1807

Obs

per

group:

min

=

6

between

=

0.8778




avg

=

9.0

overall

=

0.2962




max

=

10





Wald

chi2(11)

=

85.45

corr(u_i,

X) =

0

(assumed)

Prob

> chi2

=

0.0000

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Các yếu tố tác động đến nợ xấu tại các ngân hàng thương mại Việt Nam - 13



npl

Coef.

Std. Err.


z P>|z|


[95% Conf.

Interval]

lnpl

.386649

.0643752


6.01 0.000


.2604759

.512822

gdp

-.4435218

.1945987

-2.28 0.023

-.8249282

-.0621153

cpi

-.0922522

.0603279

-1.53 0.126

-.2104927

.0259884

une

.0769753

.1893914

0.41 0.684

-.294225

.4481757

awprt

.2884685

.1270009

2.27 0.023

.0395513

.5373857

ope

.0050487

.0040554

1.24 0.213

-.0028997

.012997

roa

-.3842338

.1716328

-2.24 0.025

-.7206279

-.0478396

la

.0047586

.007115

0.67 0.504

-.0091866

.0187037

grlt1

-.1522686

.1129494

-1.35 0.178

-.3736453

.0691081

lnsize

-.0495305

.0778554

-0.64 0.525

-.2021242

.1030632

lnoilprice

-.4472334

.4149087

-1.08 0.281

-1.26044

.3659727

_cons

4.193111

2.368791

1.77 0.077

-.4496346

8.835857

sigma_u

0







sigma_e

1.2530934






rho

0

(fraction

of

variance due

to

u_i)


.

. xttest0


Breusch and Pagan Lagrangian multiplier test for random effects


npl[stt,t] = Xb + u[stt] + e[stt,t]


Estimated results:

Var sd = sqrt(Var)


npl 2.185909 1.478482

e 1.570243 1.253093

u 0 0


Test: Var(u) = 0


chibar2(01) = 0.00

Prob > chibar2 = 1.0000

. hausman tenmohinhfe1 tenmohinhre1


Coefficients


(b) tenmohinhfe1

(B)

tenmohinhre1

(b-B)

Difference

sqrt(diag(V_b-V_B)) S.E.

lnpl

.2140504

.386649

-.1725986

.0341961

gdp

-.2440693

-.4435218

.1994525

.0906467

cpi

-.0800494

-.0922522

.0122027

.

une

-.3295989

.0769753

-.4065743

.2573462

awprt

.2297415

.2884685

-.058727

.

ope

.0023601

.0050487

-.0026886

.0020421

roa

-.332478

-.3842338

.0517557

.1219731

la

.007137

.0047586

.0023784

.0100719

grlt1

-.2154614

-.1522686

-.0631928

.0360878

lnsize

-.4437692

-.0495305

-.3942387

.3271175

lnoilprice

-.3598521

-.4472334

.0873813

.0928512

b = consistent under Ho and Ha; obtained from xtreg B = inconsistent under Ha, efficient under Ho; obtained from xtreg


Test: Ho: difference in coefficients not systematic


chi2(11) = (b-B)'[(V_b-V_B)^(-1)](b-B)

= 28.14

Prob>chi2 = 0.0031

(V_b-V_B is not positive definite)

PHỤ LỤC 05: KIỂM ĐỊNH PHƯƠNG SAI THAY ĐỔI

Modified Wald test for groupwise heteroskedasticity in fixed effect regression model

H0: sigma(i)^2 = sigma^2 for all i

chi2 (24) = 3678.56

Prob>chi2 = 0.0000


Wooldridge test for autocorrelation in panel data H0: no first-order autocorrelation

F( 1, 23) = 49.917

Prob > F = 0.0000

Mô hình Pooled OLS


Source

SS

df

MS

Model

138.580291

11

12.5982083

Residual

329.204212

203

1.62169563

Total

467.784503

214

2.18590889

Number of obs

=

215

F( 11, 203)

=

7.77

Prob > F

=

0.0000

R-squared

=

0.2962

Adj R-squared

=

0.2581

Root MSE

=

1.2735



npl

Coef.

Std. Err.

t

P>|t|

[95% Conf.

Interval]

lnpl

.386649

.0643752

6.01

0.000

.2597192

.5135787

gdp

-.4435218

.1945987

-2.28

0.024

-.8272157

-.0598278

cpi

-.0922522

.0603279

-1.53

0.128

-.2112018

.0266975

une

.0769753

.1893914

0.41

0.685

-.2964513

.450402

awprt

.2884685

.1270009

2.27

0.024

.0380584

.5388786

ope

.0050487

.0040554

1.24

0.215

-.0029474

.0130447

roa

-.3842338

.1716328

-2.24

0.026

-.7226455

-.0458221

la

.0047586

.007115

0.67

0.504

-.0092702

.0187874

grlt1

-.1522686

.1129494

-1.35

0.179

-.374973

.0704358

lnsize

-.0495305

.0778554

-0.64

0.525

-.2030394

.1039784

lnoilprice

-.4472334

.4149087

-1.08

0.282

-1.265317

.3708499

_cons

4.193111

2.368791

1.77

0.078

-.4774794

8.863702


Fixed-effects (within) regression

Number of obs

=

215

Group variable: stt

Number of groups

=

24

R-sq: within

=

0.2033

Obs

per

group:

min

=

6

between

=

0.2196




avg

=

9.0

overall

=

0.1870




max

=

10





F(11,180)

=

4.18

corr(u_i,

Xb)

=

-0.2291

Prob > F

=

0.0000


npl

Coef.

Std. Err.


t P>|t|


[95% Conf.

Interval]

lnpl

.2140504

.072894


2.94 0.004


.0702137

.3578871

gdp

-.2440693

.2146753


-1.14 0.257


-.6676732

.1795346

cpi

-.0800494

.0596993


-1.34 0.182


-.1978499

.037751

une

-.3295989

.3195249


-1.03 0.304


-.9600954

.3008975

awprt

.2297415

.1269416


1.81 0.072


-.0207436

.4802266

ope

.0023601

.0045405


0.52 0.604


-.0065994

.0113196

roa

-.332478

.2105594


-1.58 0.116


-.7479603

.0830043

la

.007137

.0123316


0.58 0.563


-.017196

.03147

grlt1

-.2154614

.1185744


-1.82 0.071


-.4494361

.0185132

lnsize

-.4437692

.3362549


-1.32 0.189


-1.107278

.2197393

lnoilprice

-.3598521

.4251712


-0.85 0.398


-1.198813

.4791089

_cons

11.48808

7.142085


1.61 0.109


-2.604905

25.58106

sigma_u

.72211663







sigma_e

1.2530934







rho

.24929651

(fraction

of

variance due

to

u_i)


F test that all u_i=0: F(23, 180) = 1.29 Prob > F = 0.1799

Dynamic panel-data estimation, two-step system GMM


Group variable: stt


Number of obs

=

215

Time variable : year


Number of groups

=

24

Number of instruments

= 49

Obs per group: min

=

6

Wald chi2(11) = 99777.02

avg

=

8.96

Prob > chi2 = 0.000

max

=

10


npl

Coef.

Std. Err.

z

P>|z|

[95% Conf.

Interval]

lnpl

.0642996

.0687109

0.94

0.349

-.0703713

.1989705

gdp

-.2597798

.0844859

-3.07

0.002

-.4253691

-.0941905

cpi

-.1290084

.0132293

-9.75

0.000

-.1549373

-.1030795

une

.6681846

.136582

4.89

0.000

.4004888

.9358805

awprt

.2654306

.0284399

9.33

0.000

.2096895

.3211717

ope

.0013205

.0093384

0.14

0.888

-.0169824

.0196234

roa

-1.540376

.3149387

-4.89

0.000

-2.157645

-.9231077

la

-.0041116

.008465

-0.49

0.627

-.0207026

.0124794

grlt1

-1.844055

.5523575

-3.34

0.001

-2.926656

-.7614546

lnsize

-.5123759

.2462005

-2.08

0.037

-.9949201

-.0298317

lnoilprice

.3095702

.1484864

2.08

0.037

.0185421

.6005982

_cons

10.79249

4.181404

2.58

0.010

2.597091

18.98789

Warning: Uncorrected two-step standard errors are unreliable.


Instruments for first differences equation Standard

D.(L.llp L.la L.roa L.oilprice)

GMM-type (missing=0, separate instruments for each period unless collapsed) L(3/10).(llp cpi oilprice)

Instruments for levels equation Standard

L.llp L.la L.roa L.oilprice

_cons


Arellano-Bond test for AR(1) in first differences: z = -3.07 Pr > z = 0.002 Arellano-Bond test for AR(2) in first differences: z = 0.64 Pr > z = 0.525

Sargan test of overid. restrictions: chi2(37) = 7.60 Prob > chi2 = 1.000 (Not robust, but not weakened by many instruments.)

Hansen test of overid. restrictions: chi2(37) = 13.89 Prob > chi2 = 1.000 (Robust, but weakened by many instruments.)


Difference-in-Hansen tests of exogeneity of instrument subsets: iv(L.llp L.la L.roa L.oilprice)

Hansen test excluding group: chi2(33)

= 12.70 Prob >

chi2

=

0.999

Difference (null H = exogenous): chi2(4)

= 1.19 Prob >

chi2

=

0.880


.

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