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台灣地區本國銀行業長期效率的動態分析

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C23, D2, G21

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64

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: (02)

2939-3091

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: (02) 2939-8004; E-mail: [email protected]

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Banker and Morey

[

1986

\ c  {   $ _     c  

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  6 M  d  #   8 _ 

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€       y ‚ #  5 6  ƒ  

,

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Ahn

et al.

[

2000

\ Y 9 0 …  v 3  o   n O 6 ` Z   

,

 †     Q   † T ‡   _ 

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 O  $ P  _  [

quasi-fixed inputs

\ d ' ?

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,

 …  v o e [ k \ K E F O 7 8 w   v d ! 7 R & 

,

 a b …  v   o   o e K E   6  P p & d

  ˆ 7

, Ouellette and Vierstraete

[

2004

\  O  $ P  _ 

,

b ‰   P 

(4)

n O d  # & h ; ! ) U

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O N  l 1 >  P

=  9  6 y  l [

core deposits

\  2 8 " [

physical capital

\   O 

$ _ 

,

U 

Flannery

[

1982

\ 

Humphrey

[

1993

\ 

Berger et al.

[

1993

\ 

Noulas

et al.

[

1990

\ 

Hunter and Timme

[

1995

\ 

;

" 0 6 t  l ^ Y ' W * d l

' c ?

,

" 0  T .  s 0

80

4 

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Ahn et al.

[

2000

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,

8 9

Berger et al.

[

1993

\ 6 ) &

,

™   | L

(5)

frontier approach, TFA

\  2 ? œ )  e [

data envelopment analysis, DEA

\

<    ) } e [

distribution-free approach, DFA

\ d

 

EFA

e : ; 

Aigner et al.

[

1977

\

Meeusen and van Den Broeck

[

1977

\ 

; Berger and Humphrey

[

1991

\ 

TFA

e

; DEA

e q  ` O

Farrell

[

1957

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% 6   A D

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[

1993

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DFA

e

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panel data

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Schmidt and Sickles

[

1984

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1987

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[

1993

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1990

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Cornwell et al.

[

1990

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; Kumbhakar

[

1990

\ o

/  v o   $  $ M 6 a    2 M

; Battese and Coelli

[

1992

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; Lee and Schmidt

[

1993

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$ 6 £ A   d

 

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[

2000

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, Berger et al.

[

1993

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1980

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1989

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[

1997

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1984

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1994

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618

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2 ? 3  d

Dietsch and Lozano-Vivas

[

2000

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1988

4 :

1992

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DEA

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39

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1994



1995



1996

 4 c & \ ! )  v  

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1995

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1981

4 :

1991

4

22

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e 5 6  ] ^  

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1997

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1986

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1994

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1998

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1986

4 :

1994

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13

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1997, 1998

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,

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1999

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1981

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1995

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22

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2002

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Translog

b 8   ' 9   b 8  ! d    8    8 ) 7 o / o   ¹ +

AR(1)



AR(2)

 R   

,

( 7 I + \  6   b 8  ! ) 2 d

(7)

3.1

 º » ¼ ½ ¾ ¿  o / @ J W  6 6   b 8  !    -

:

C

it

= α + x



it

β + v

it

+ u

it

,

(1)

M J

C

it



i

  6  

t

 6  3 H b 8

,

i = 1, ..., F, t = 1, ..., T

d

α

À ¬ 

,

x

it



K × 1

6 T 4 C

,

@ J 

i

  6  

t

 _  6

K

  P  n O

,

β

\  6  v $  d $ %

C

= α + x



it

β

@ J c e b 8

,

& b 8  ! d

v

it

  Á Â 

,

P ' & u & K

,

 T 3   P Ã

,

 '   P

σ

2

v

d

u

it



i

  6  

t

 6 o   n O

,

@ J  6  3 H b 8  t b 8  ! c = ¬

,

  # : d   o /  6 %  o   n O  +    o   n O 6  

,

E ¹ +

AR(1)

6   

,

J K   %  o   n O 6 &   < R )

,

l m %  6   Á Â &  ?

,

 Y & O  $ _  6  

,

}     o    z )   6 ) Ä % : %  d

AR(1)

   / $  -

:

u

it

= (1 − ρ

i

)u

i,t−1

+ ξ

it

,

(2)

 J

ρ

i

@ J 

i

  6      o   n O 6  

,

   P Ã  c d 

ρ

i

! L 7 

,

J K   6 6   o     ! Å

;

> c

,



ρ

i

! L 7 Ã

,

@ J     ! Æ d

ξ

it

 >  6 $   4  6    

,

   # :

,

4 P ' & u & K d o $

E

it

|Ω

i,t−1

) = λ

i

≥ 0,

M J

i,t−1



i

  6  

t

 &  6 * 2 i h  d

ρ

i

λ

i

z  + c  6 < 1 z u  X  * 6   Y  = ' d   % N  6 6    

ρ

i

   6 1  Y 

:

 

,

\  1 W 6  6 

(8)



,

     Ã

,

@ J '  6 s * 1    o   6  

,

,   c  6   b 8 o e M D

,

' ‰   1

;

 

,

N 6 C ] ^ & 6    

,

%

ρ

i

Ã

, (2)

M ) K o   n O

u

it

 b   Ç V [

random walk

\ 6 $ % #

,

'  $ Z $ % #   ] e % A 1

,

o e  =  , W 6 E  5 6 : d ` O

(2)

M > È @ q

,

6 S  

i

  6 6 3  T 3 o   n O

(u

LR

i

)

 -

:

E

(u

it

) =

λ

i

ρ

i

= u

LR

i

.

(3)

' 3  T 3 o   n O  R b É  b

,

: ;

,

 

i

 6     o   6   & D 

,

,

0

< ρ

i

< 1,

q

(1/ρ

i

) > 1,

}  '  6 6 o     Ê

;

 $

,

 t

i

 6 z & K E     o  

,

E

ρ

i

= 1,

3  o   n O b

λ

i

,

1

λ

i

X   % N ` Z   T - 6 o   n O d   L >

,

$ %

u

d

it

%  3  o   n O 6 = ¬

,

E

u

d

it

= u

it

− u

LR

i

,

@ 

(1)

M 

:

C

it

= α

i

+ x



it

β + ε

it

,

(4)

 J

α

i

= α + u

LR

i

@ J 

i

  6 6  $  t

,

 $ 4 

,

ε

it

= u

d

it

+ v

it

@  – =  d ' ?

,

t `

u

d

it

= (1 − ρ

i

)u

d

i,t−1

+ ξ

d

it

,

 J

ξ

d

it

= (ξ

it

− λ

i

),

a b

ε

it

= Y < " & 6 . , d  P  6  

t

 & A d +    6 o   n O

,

m 4 O %  6   b 8

,

    

t

 6 P  _ 

,

+ ,

x

it

u

d

it

= Y & W

,

l > 6 C ) 2 P G

x

it

ε

it

& u & K 6 ~ - d  =

 , W 6 E  5 6 :

,

  N

(4)

M s q   W ` Z  

,

 -  K

:

C

it

= ρ

i

α

i

+ (1 − ρ

i

)C

i,t−1

+ x



it

β − (1 − ρ

i

)x



i,t−1

β + ˜ε

it

,

(5)

 J

ε

˜

it

= ξ

d

it

+ [v

it

− (1 − ρ

i

)v

i,t−1

]

 N  = l ` T 3  [ 6 &

MA(1)

\

6   Á Â  d :   k 6 

,

 B   6 6

ρ

i

3 

,

@ J  6  % 

K E 4 z )      6 o   n O

,

' $

(5)

M n p   6  $  t )

(9)

  N

(5)

M J

Translog

b 8   2 M  -

:

ln

C

it

= ρ

i

α

i

+ (1 − ρ

i

) ln C

i,t−1

+



N

S

n

γ

n

ln

y

in,t

+

K

S

k

δ

k

ln

P

ik,t

+

1

2

N

S

n

N

S

r

η

nr

ln

y

in,t

ln

y

ir,t

+

1

2

K

S

k

K

S

s

θ

ks

ln

P

ik,t

ln

P

is,t

+

N

S

n

K

S

k

φ

nk

ln

y

in,t

ln

P

ik,t



−(1 − ρ

i

)



N

S

n

γ

n

ln

y

in,t−1

+

S

K

k

δ

k

ln

P

ik,t−1

+

1

2

N

S

n

N

S

r

η

nr

ln

y

in,t−1

ln

y

ir,t−1

+

1

2

K

S

k

K

S

s

θ

ks

ln

P

ik,t−1

ln

P

is,t−1

+

N

S

n

K

S

k

φ

nk

ln

y

in,t−1

ln

P

ik,t−1



+ ˜ε

it

, (6)

M J

y

in



i

  6 6 

n

  n O

,

n = 1, ..., N, P

ik



i

  6 6 

k

P  _  @ R

,

γ

n

, δ

k

, η

nr

, θ

ks

φ

nk

 @ J ) 2 J Ë I 5 6 $  d   8 9 ( Z ] ^ 1 

,

b 8    2 3  ! ~ - [

regularity conditions

\ d  

,

b 8   P  @ R 6  P S  

,

E P  É >   5 6 :

(S

k

= ∂ ln C/

∂ ln P

k

)

  

;

 

,

b 8   P  @ R 6 Ì  

,

E  P  @ R  =  +   b 6

Hessian

  c      = T # M :    

H

1

≤ 0



H

2

≥ 0



H

3

≤ 0

6 ~ -

;

1

% &

,

p 0 > ? ' K ( A B ( ) C Í  > ?

;

2

* +

,

, -. K ( A B -  / 0 Î 1  ? + V  -  ' Q  N D E ( Ï ,

,

Ð - 2 3 2 ) . ( V Z . O | 1 2 2 3 4 5 6 / D E 7 8

(6)

,

3

D B 9 : p 0 > ? ' K ( A B ( ) C Í  > ? ( ; <

,

Ñ = 0 : %

i

U ( 1 ( % ) 2 K ( 8 A B

P

i1

R I _ p 0 > ?

,

   > ? E

:

1

H

1

= |C

11

| ≤ 0, H

2

=







C

11

C

12

C

21

C

22







≥ 0

X

H

3

=









C

11

C

12

C

13

C

21

C

22

C

23

C

31

C

32

C

33









≤ 0,

 

C

ij

= ∂

2

C

/

∂P

i

∂P

j

, i, j = 1, 2, 3, C

f   e p   Z

2

e p   f F < = q  F Ò Ó Ô Õ f Ö S

K

k

δ

k

= 1;

× S

K

s

θ

ks

= 0;

Ø S

K

k

φ

nk

= 0

Z

3

o @ Ô Õ f Ö

η

nr

= η

rn

, ∀n, r;

×

θ

ks

= θ

sk

, ∀k, s

Z

(10)

ln



C

it

P

i1,t



= ρ

i

α

i

+ (1 − ρ

i

) ln



C

i,t−1

P

i1,t−1



+

N

S

n

γ

n

ln

y

in,t

+

K

S

k

δ

k

ln



P

ik,t

P

i1,t



+

1

2

N

S

n

N

S

r

η

nr

ln

y

in,t

ln

y

ir,t

+

1

2

K

S

k

K

S

s

θ

ks

ln



P

ik,t

P

i1,t



ln



P

is,t

P

i1,t



+

S

N

n

K

S

k

φ

nk

ln

y

in,t

ln



P

ik,t

P

i1,t

 

− (1 − ρ

i

)

S

N

n

γ

n

ln

y

in,t−1

+

S

K

k

δ

k

ln



P

ik,t−1

P

i1,t−1



+

1

2

N

S

n

N

S

r

η

nr

ln

y

in,t−1

ln

y

ir,t−1

+

1

2

K

S

k

K

S

s

θ

ks

ln



P

ik,t−1

P

i1,t−1



ln



P

is,t−1

P

i1,t−1



+

S

N

n

K

S

k

φ

nk

ln

y

in,t−1

ln



P

ik,t−1

P

i1,t−1

 

+ ˜ε

it

.

(7)

J 0 B    ` C (  N D E

,

5 0 > ?  ? + V  +

,

3 3 Ï , 1 2 2 9 :

(7)

+ V - 4 U ( 1 ( M  G T

α

i

+

,

N  L E K > 4 U ( 1 ( u 5  6  G U H I

( ˆu

LR

i

):

ˆ

u

LR

i

= ˆα

i

− ˆα

0

,

(8)

y

α

ˆ

i

' %

i

U ( 1 M  G T ( + V 

, ˆ

α

0

' V [ 6 0 ( 1 y * \ (

α

ˆ

i



,

]

α

ˆ

0

= min

i

( ˆα

i

),

7 ^ * 7   G U ( 1 ( M  G T 1 j _

,

* 7   G U ( 1 ( u 5  6  G U ' Î 1 2 2 `  e  ? + V       g +

,

N V Z N h   [

economies of scale,

SE

\ e     [

economies of scope, SC

\ . p 0 i P ; [

cost complementarities

\

S [ : ( ? 8

,

 @ 5 8 x 5 ( 1 (  9 " # 1 2 2 j T ( 1 [ L 2 , - . & 2 K ( 8 ]

,

N h   (  % & E

:

SE

=

C

(P



, Y



)

2

S

n=1

y

n

C

n

(P



, Y



)

,

(9)

(11)

` y

C

(P



, Y



)

' ' M V / * k p 0 [ p 0 l : \ > ?

,

P

.

Y

O I '

3

× 1

( K ( A B .

2

×1

( , - ( m

,

o

C

n

(P



, Y



)

' * k p 0 > ? 6 %

n

2 , -( Ù O 1 )

SE

> 1,

^ w b * N h O P

;

)

SE

= 1,

^ w M  N h O P

;

)

SE

< 1,

^ w b + N h O P 1 2 2     (  % '

SC

= [C

(y

1

, 0, P



) + C

(0, y

2

, P



) − C

(y

1

, y

2

, P



)]/

C

(y

1

, y

2

, P



),

y

y

i

, i = 1, 2

' %

i

2 , - 1 )

SC

> 0,

^ w ( 1 [    

;

)

SC

< 0,

^ w ( 1 [   p   1 L 0

Translog

p 0 > ? [ ) Ú ,

,

] 4 u ?  -  / 0 Î Ð [ = %

,

q >      ; V Z

,

- . / 1 6 _ V W 1 < ) \ ( G Î 

ψ

< 7

:

SC

=

C

(y

1

− ψ, ψ, P



) + C

(ψ, y

2

− ψ, P



) − C

(y

1

, y

2

, P



)

C

(y

1

, y

2

, P



)

.

(10)

ψ

 ( / \ ' 2 : Û

,

4   g 1 0 - ! :

Mester

[

1987

\ ( V Z 5 ;

,

ψ

 ' , - u ? ^ \  (

10%,

3 Ü @ p 0 i P ; 7 r     B  s ` 1 p 0 i P ;  % & E

:

C

12

=

2

C

(P



, Y



)

∂y

1

∂y

2

< 0,

(11)

` = % ' % ) 2 , - ( l t p 0

,

j u , % v 2 , - o E 8

,

_ .     ( R =  ) 1

3.2

 Ý » ¼ ½ ¾ ¿  o /  6 %  o   n O  $  +       o   n O 6  

,

E ¹ +

AR(2)

6   

,

J K   %  o   n O 6 &   <  )

,

l m %  6   Á Â &  ?

,

       o    z z )   6 ) Ä % : %  d

AR(2)

   / $  -

:

u

it

= (1 − ρ

1

i

)u

i,t−1

+ (1 − ρ

2

i

)u

i,t−2

+ ξ

it

.

(12)

(12)

o $

E

it

|Ω

i,t−1

) = λ

i

≥ 0

d

(12)

M J

ρ

1

i

ρ

2

i

) 7 

i

  6         o   n O 6  

,

    $ Z  # 6 P G d Þ !  8 6 m e

,

` O

(12)

M > È @ q

,

6 S 

i

  6 6 3  T 3 o   n O

(u

LR

i

),

 -

:

E

(u

it

) =

λ

i

ρ

1

i

+ ρ

2

i

− 1

= u

LR

i

.

(13)

&

u

LR

i

   # :

,

1

1

i

2

i

−1)

  P Ã d  P %  3  o   = '

u

d

it

,

t `  N

AR(2)

6 2 M

,

E

u

d

it

= (1−ρ

1

i

)u

d

i,t−1

+(1−ρ

2

i

)u

d

i,t−2

it

d

,

q

ε

it

= u

d

it

+ v

it

v  = < " ˜ ™ b É d  =  , W 6 E  5 6 :

,

  N

(4)

M s q   W 6 ` Z    -

:

C

it

= (ρ

1

i

+ ρ

2

i

− 1)α

i

+ (1 − ρ

1

i

)C

i,t−1

+ (1 − ρ

2

i

)C

i,t−2

+ x



it

β

−(1 − ρ

1

i

)x



i,t−1

β − (1 − ρ

2

i

)x



i,t−2

β + ε



it

,

(14)

 J

ε



it

= ξ

it

d

+[v

it

−(1−ρ

1

i

)v

i,t−1

−(1−ρ

2

i

)v

i,t−2

]

 N  = l ` T 3  [ 6

&

MA(2)

\ 6   Á Â  d

(5)

M & =

, (14)

M 6 -   J      

6   

C

i,t−2

<  

x

i,t−2

d W  $  L 

,

> ? 0   (     $ 

ρ

2

i

d   N

(14)

M J K

Translog

b 8   2 M

,

 $ % N \ & ~ - b 8   P  @ R 6  = ß $ ~ -

,

 ` Z  t ) 2  -

:

ln



C

it

P

i1,t



= (ρ

1

i

+ ρ

2

i

− 1)α

i

+ (1 − ρ

1

i

) ln



C

i,t−1

P

i1,t−1



+ (1 − ρ

2

i

) ln



C

i,t−2

P

i1,t−2



+

N

S

n

γ

n

ln

y

in,t

+

K

S

k

δ

k

ln



P

ik,t

P

i1,t



+

1

2

N

S

n

N

S

r

η

nr

ln

y

in,t

ln

y

ir,t

+

1

2

K

S

k

K

S

s

θ

ks

ln



P

ik,t

P

i1,t



ln



P

is,t

P

i1,t



+

S

N

n

K

S

k

φ

nk

ln

y

in,t

ln



P

ik,t

P

i1,t



−(1 − ρ

1

i

)



N

S

n

γ

n

ln

y

in,t−1

+

S

K

k

δ

k

ln



P

ik,t−1

P

i1,t−1



(13)

+

1

2

N

S

n

N

S

r

η

nr

ln

y

in,t−1

ln

y

ir,t−1

+

1

2

K

S

k

K

S

s

θ

ks

ln



P

ik,t−1

P

i1,t−1



ln



P

is,t−1

P

i1,t−1



+

S

N

n

K

S

k

φ

nk

ln

y

in,t−1

ln



P

ik,t−1

P

i1,t−1



−(1 − ρ

2

i

)



N

S

n

γ

n

ln

y

in,t−2

+

S

K

k

δ

k

ln



P

ik,t−2

P

i1,t−2



+

1

2

N

S

n

N

S

r

η

nr

ln

y

in,t−2

ln

y

ir,t−2

+

1

2

K

S

k

K

S

s

θ

ks

ln



P

ik,t−2

P

i1,t−2



ln



P

is,t−2

P

i1,t−2



+

N

S

n

K

S

k

φ

nk

ln

y

in,t−2

ln



P

ik,t−2

P

i1,t−2



+ ε



it

.

(15)

 E  5 6 : R  b 8   6  ! ~ - à á 

,

` O

(8)

:

(11)

M G  c   6 6 3  & \ o   n O  ! ) ] ^    ] ^ b 8 u r W  5 6 :

,

" #  Q ] @ d    ! R

,

 8 " / $ 6 ˜ ™ ) 2 J

,

  Á Â  z ¹ +

MA

  

,

4 <   v Y    6   

,

    6      S ;  $ 6  

,

q c  T L 5 6 M    – d 8 " N F O =    ` = e B [

generalized

method of moment, GMM

\ \ T ) 2 5 6

,

L z  = :  , W 6 E  5 6 : d

4.

) 7 â ã ä 8 å æ 8 " ç  Y  T . ] ^    ` Z   

,

G   / 6 5 6  t

,

l F O  ž 2 ? ?

,

{ w G A d  ; 3 6  T

,

= Y e  ! 8  6 @ A d )  \ , % i  # 8 0  T Z z J

22

 t Y  T

,

 s 0

70

4 :

91

4

,

* 6

22

4

,

( © l r   T / K   6 R   d   ! 8  T v     T

,

) 7 % i  T  *   T  Y 1 t

;

è  p   T #

,

< s 0

87

4

,

!     T s s   T

,

) 7  o R  T  J 0 é s  T  %   T     T   +  T  ,   T 

(14)

% i # J   .  T ê  T

,

 P ' è  ! 8  T 6  Y r 2 Z s  $ ( m  : | 4

,

& '   6  t ) 

,

" # ! N ' è  ! 8  T   T t

;

W Y =   s   T

,

' J 0 0 3 6 .  T  -  $   T   ë  T  ! % p q  T  %  0 3 6    ì 0 3 6   % J 6 .  T  % + # J   .  T  ê # J   .  T  g í # J   .  T % # J   .  T d  J

,

& ê  T N s 0

71

4  l 0 

,

1 ! 8 2 ?

T 2  ž 2 ? [

unbalanced panel data

\

,

 3 ! 8 

483

j d

  8 " } O o  e

,

$ % R   

,

) 7 _ 2 r l

,

4

@ A & & 8

,

O I ' ( : e ( 0 . : ; 8 m 1

5

4 u ? ( ( ? { m J K < F y   3 :  @ A Ï  |   < } :  E = ~ K @ A F V ^ 

,

6

@ A > € $ :     < } :  @ A F V  K  1 L 0 6 0 5 @ 

22

H

,

' ' B ' C j (

,

@ : ' W X ( u ? - @ I

90

H ( ! " P  A  ? , +

,

 ( ' & < u ?

,

4 5 [ ‚ ( 6 0 F V m  0 ^

1

1

5.

)  ) < =

8 " F O

OX

t * T Z

DPD

[

dynamic panel data

\ U 6

GMM

5 6 e

,

\ T 

t )  d    8 

AR(1)

   6 o / -

,

5 6 b 8    c ! 8  T 6 o      

,

{ \ T  ! ~ - à á &  o à $

;

   8 

AR(2)

   o / -

,

] @   8 6 ) 

;

c    8 ` O E  5 6 :

,

6 S c ! 8  T 6 3  & \ o    ! ) ] ^    ] ^ b 8 u r W  c  a + d

4

. N î ƒ / Y N [ \ / 2  A ) ï / ð F h A  ] . N F i S y ñ q î ^

;

ò ó î ƒ / p x ô + n o N , ] G K ~ [ ^

,

õ ö N [ \ / 2  A ò ó X ÷ r F y ñ

,

/ ø ù ? ÷ r 6 \ ú û ü 6 ý 9 6 þ ÿ ò ó h  V ÿ ò ó / Z

5

N , . 4 ) f N [ \ / 2  A s ó F h A  4 ó F i y ñ q  î

,

N , e p f   2  A s ó ‡ 0 9 . F h A  4 ó ‡ 0 9 . F i d  î

,

N , < = / Y N , e p x ‰ N , . 4 ) Z N p . 4 ) f N [ \ / 2  A  J N [ F p A  {   F

,

l  J N [  ƒ

;

0   2  A M + 6 î + h 9 f Z l F  x l 1 Z l g

,

J  f N p e p

,

x ‰ N p . 4 ) g

,

e f N p < = Z ` a . 4 ) @ /  @ 2  l q 7 0 1 

;

l 1 Z l x ‰ ` a . 4 )

,

e f ` a < = Z ‰ ] 4 5 F e p q î ^

,

 ^ î _ [ e p Z

6

A , n ^ - Œ F M +  { 2 F ö L x

85

@ `

,

0 p x  ` ô + N O ] e x } î ] + h f + i L x

,

p ) R l x } î ] q M ? N O

,

l g ÿ N O Q v Z

(15)

"

1

# ! " $ # $ % s &   ' ( ) * + w , -. / 

(C)

22,043.69

23,175.91

0 1 . 2

(y

1

)

52,744.67

72,287.56

3 4 . 2

(y

2

)

249,910.26

280,955.32

1 5 6 7

(P

1

)

0.0580

0.0229

1  6 7

(P

2

)

0.5331

0.5533

8 9 6 7

(P

3

)

0.8425

0.3497



: 1.

  : ;  < = > ? @ A

,

B C D H

90

E  F G H I J K  L M

,

N O  P Q R 

;

S T  C  T U C T V W X T   S Q

2.

C  [ \ J Y   C  [ \ T Z C C  [ \ [  \

;

] ^ G ] Z C W X [  \

,

T  W X J Y Q

3.

S _  

483

` Q

5.1

 º » ¼ ½ ¾ ¿  a b c d 

(7)

M 1

,

˜ ™ ) 2 6 -   v     6    <  

,

 =  , W 6 5 6 M

,

w G 6 X =      : c    6 b 8 \  :

,

    : 8  6 -   \  :

,

' P  @ R     ~ # 6  $  o e  

,

` O

GMM

e \ T 5 6

,

 t # P n J

1

d   V 9 n J

1

6 5 6  t

,

5 S c ! 8  T      o   n O 6  

,

{ = ;  s   T 6 T 3    

,

 t # P J

2

d V 9  J

,

c ! 8  T 6     5 6 : 3 2

1%

) > n O

,

 J g í # J    6     c Å

,

2 +

0.5055,

%  0 3 6  $ c

,

 *   T ! 8  T J c Æ #

,

( Y

0.2739

d 7 8 5 6 : J K

,

g í # J     8 

,

#    o   n O 6

50.55%

d q  c

,

 Y m

50%

6 o  

,

 % Ë  c  V # 

;

   T 6 5 6 : Y & ' - d      

,

  T z }   j e 6  

,

7

f g  9 b R o - ` h K 9 g * / [ p 0 ^ \ \ . : U ( D  p 0

,

) i   j 3 4  k

7

f g h

,

G i + j + 7 q \ l

,

p X Q Ž \ k d l  ^ 5 d l X = N =

,

 m \ l g

,

l n o G + 1 7 q  p Z m i M + V q

,

f r f ) ï s )

,

t u v R  w

,

- ] F b x y v z

;

 f \ { ò ó s

,

X 7 | } ~ ] … =

,

† û ^ p X  X ‡ ˆ w ‰

,

t  Š ‹ J

,

z Q \  g ‡ J < Œ 8  h  O Ž s Z t Y  \ N [ 9 f G W q } 2

,

G i + j  f  ‘ † û ^  P Z Ž ’ v Z

(16)

"

2

#

AR(1)

“ ” • – ! # $ — ˜ ™ š › œ r s %    ž Ÿ   ¡ ¢ £

a

i

)

¤ ¥ w , ¦    ž Ÿ   ¡ ¢ £

i

)

¤ ¥ w , ¦ § ¨ ž Ÿ

0.3427

0.0459

© ª « ž

0.3593

0.0539

¬ ­ ž Ÿ

0.3329

0.0479

® ¯ « ž

0.3502

0.0504

| ° ž Ÿ

0.2884

0.0639

| ° z ± ² ž

0.3169

0.0447

| ³ ž Ÿ

0.3476

0.0736

| ³ ´ µ « ž

0.4471

0.0585

¶ · ž Ÿ

0.2739

0.0549

¸ ¹ ´ µ « ž

0.3877

0.0546

º » 5 ¼

0.3972

0.0642

| z « ž

0.4262

0.0597

½ « ž

0.3702

0.0624

| ¾ z ± ² ž

0.4119

0.0586

© ¾ « ž

0.3510

0.0611

¿ À z ± ² ž

0.3816

0.0573

Á  « ž

0.3532

0.0648

Ã Ä z ± ² ž

0.5055

0.0821

z ´ ´ µ « ž

0.3757

0.0534

| Å z ± ² ž

0.4408

0.0746

Æ © Ç º « ž

0.2868

0.0467

¿ À ž Ÿ

0.4418

0.0799

) *   ¡ ¢ £ È É ž Ÿ

0.3722

Ê Ë ž Ÿ

0.3469

­ Ë ž Ÿ

0.3957



: a: 22

Ì _ Í Î  Ï Ð Ñ Ò ! " # Ó Ô

1%

Õ Ö × Ø Q Ù Ú d $ Û Ü j 3 4 % n

2

,

Ü j 3 4  & ' k Ù Ú d  J  Ý

,

 ^ i  %  (

(3)

!

,

 ) Þ  & ' X ß * à á

u

LR

i

= λ

i

i

,

) k Ù Ú d

ρ

i

 Ý

,

u

LR

i

 Û

,

 n +

i

3 4 Þ  & ' X ß * à á  

,

,  _ ß * % - - â . "

,

ã 4  ä å æ  ç è % V b é / r 0 1

,

a 0 2 3 ê e 4 3 4   5  ë ì 6 i / r 0 1

S

1

7

S

2

h

S

3

,

$ 8 _

62

7

8

9

2

í : q ;  ^    

;

<

H

1

7

H

2

h

H

3

!

,

$ 8 _

72

7

107

9

191

5 î ï 1 ;  ^     % = > s t H I / e 4  ^    

,

ð

H

3

 ^  " ñ ò # % - - < ? $ @ B ç C !

,

4 W V b

Wald test

ç C ó %  ô * & é / r 0 1 D õ E H ) ö

,

R ÷ b

Sargan test

ç C D ' ø /  ù ú D õ û (

,

F G

,

ü )

ý # & ã 4 * I ? $ þ K  ç C

,

,

AR(

m)

ç C

,

? $ ç C s t L n

3

% - - N ( n

3,

 5 P R 

Wald test

ç C ÿ 0 + ' ,

1%

 - à á

,

   5 P R  ô * & é / E H ) ö   X @ B

,



Sargan test

; -

,

ù ú  D ' ø /  ^

GMM

r 0 .    á / % S T

,

< ý # & * I ? $  ç C

(17)

"

3

#

AR(1)

“ ” • –   ( )   U ¥

Wald (joint)

χ

2

(50)

= 8,845

∗∗∗

Wald (dummy)

χ

2

(20)

= 546.7

∗∗∗

Wald (time)

χ

2

(20)

= 546.7

∗∗∗

Sargan test

χ

2

(896)

= 11.97

AR(1) test

N(0,1) = −1.929

AR(2) test

N(0,1) = −2.402

∗∗

AR(3) test

N(0,1) = 0.923

AR(4) test

N(0,1) = −1.158

AR(5) test

N(0,1) = −1.022

AR(6) test

N(0,1) = −1.1469



: 1. Wald (joint)

V    R   Î    

,

  Z   R 

; Wald (dummy)

V 

 R  V     Î    

; Wald (time)

V   R   Î     Q

2. ***

0 1 Ô 

1%

Õ Ö × Ø

; **

0 1 Ô 

5%

Õ Ö × Ø

; *

0 1 Ô 

10%

Õ Ö × Ø Q !

, AR(1)

 ç C ÿ 0 + ,

10%

 - à á

,

T

AR(2)

/ ,

5%

 - à á

,

2  þ K ' ; -

,

@ C X ß *  

AR(1)

3 4 X Y

,

5  ó ! " ø / ? 7 E h Z [ B C # $ ' % &

,

) ' ( 9

AR(2)

3 4 X Y

,

_ 2 )  : %

5.2

 Ý » ¼ ½ ¾ ¿  a b c d 

(15)

M 1

,

˜ ™ ) 2 6 -   v       6    <  

,

1  w G ;    8 ) 2 Q     6 X =  

,

E   | : c    6 b 8 \  :    | : C  6 -   \  :

,

' P  @ R     ~ # 6  $  o e  

,

F O

GMM

e \ T 5 6

,

 t # P n J

2

d

8

2 2 [ : 9 ^

2

(  ? + V g T

,

N \ Z 4 6 0  3 D  ' ) 5 . ' v 5  G U H I ( : v

,

4 o : g 9  3 ( , - D  : v

,

s t L n

4

% N ( ;

8

Ahn et al.

[

2000

\ , r

,

m ]  q S T i k 

,

t d { { u v * + \ Y  F q ö l , -  w

,

] H

 q ] ^ F Ó . g d \ Š Q Ž / w _ v

;

0 1 ~

,

\  f l | 0 Q H  Z

Arellano and Bond

[

1991,

p.281

\  g  e

,

G F o  F 1 ] , - i k q ` 1 d

,

p X h  . g i ÿ ` 1 d \ M ?

, GMM

2 { ; 3 Q Ž  \ v Z 4 ? p ) 2

5

ö l , -  F 5 6 F 7 J

,

] 2 n d ö l , - q 8 d m n Z v w

,

Sargan test

9 x p   U õ q 0 Q H  : b f f Z

(18)

"

4

#

AR(2)

“ ” • – ! # $ — ˜ ™ š › œ r s %    ž Ÿ ; <   ¡ ¢ £

1

i

)

¤ ¥ w , ¦ ; = <   ¡ ¢ £

2

i

)

¤ ¥ w , ¦ § ¨ ž Ÿ

0.3059***

0.1255

1.0817***

0.1046

¬ ­ ž Ÿ

0.3874***

0.0882

0.9440***

0.0716

| ° ž Ÿ

−0.0225

0.1847

1.2384***

0.1549

| ³ ž Ÿ

0.2939***

0.0963

0.9773***

0.0846

¶ · ž Ÿ

0.0824

0.1464

1.1643***

0.0900

º » 5 ¼

0.7724***

0.1563

0.6270***

0.1244

½ « ž

0.2388***

0.0881

1.0789***

0.0841

© ¾ « ž

0.0431

0.1161

1.2108***

0.0872

Á  « ž

0.1300

0.1128

1.1521***

0.0920

z ´ ´ µ « ž

0.3087***

0.0603

1.0576***

0.0599

Æ © Ç º « ž

0.1048*

0.0617

1.1557***

0.0608

© ª « ž

0.3922***

0.0594

1.0010***

0.0709

® ¯ « ž

0.1203

0.0819

1.2354***

0.0847

| ° z ± ² ž

0.4306***

0.0975

0.9015***

0.0850

| ³ ´ µ « ž

0.3843***

0.0786

1.0741***

0.0548

¸ ¹ ´ µ « ž

0.2468***

0.0735

1.1559***

0.0703

| z « ž

0.4193***

0.0677

1.0289***

0.0697

| ¾ z ± ² ž

0.4604***

0.0588

1.0032***

0.0504

¿ À z ± ² ž

0.5438***

0.0748

0.8796***

0.0744

Ã Ä z ± ² ž

0.7211***

0.0895

0.9098***

0.0916

| Å z ± ² ž

0.8648***

0.0971

0.7075***

0.0821

¿ À ž Ÿ

0.6109***

0.0862

0.8758***

0.0975

) *   ¡ ¢ £ ) *   ¡ ¢ £ È É ž Ÿ

0.3563

1.0209

Ê Ë ž Ÿ

0.2975

1.0229

­ Ë ž Ÿ

0.4151

1.0190



: ***

0 1 Ô 

1%

Õ Ö × Ø

; **

0 1 Ô 

5%

Õ Ö × Ø

; *

0 1 Ô 

10%

Õ Ö × Ø Q n

,

< =

17

> e 4 3 4   ]  k Ù Ú d ,

1%

- à á

,

2 ^ = _ ? @ ^ Û 6 3  k Ù Ú d F Ý

,

{ ,

0.8648,

^ A ` U K a

,

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,

S , - à á % ê e 4 3 4   C  k Ù Ú d ' ,

1%

- à á

,

2 ^ = _ C 3 4  k Ù Ú d F Ý

,

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1.2384

% @  ) 1 î b

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,

c M A = D ? $

,

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(19)

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(13)

!

,

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i

+ ρ

2

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4

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,

) I  

(1 −

ρ

1

i

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2

i

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−(1 − ρ

1

i

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2

i

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% M ] ç è n

4

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,

N S < = ó %  ^ O c 5 å æ

,

d J h s t ' ^  : % - - y   Ü j 3 4 c   & ' k Ù Ú d

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< O P < 7  + ] 

,

9

9  3 ( D  : v : g 9  3 , - ^ < x

40%,

S w g 9  3 ( ’ u - @ : >

,

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,

D  , - . 8 ( s ”  ; c 9  3 = d K

,

• N - . e  C f (  9 t v g h [ t 1 g 9  3 % v 5 D  : v , - + V  '

1.0229,

_ / 0 9  3 (

1.019

1 2 2 `  N D E Ï , 5 M

,

4 6 0  3 ( & v K ( ` > ? + V 

S

1

e

S

2

.

S

3

,

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32

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8

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0

v 6 0 p    g K K

;

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1

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2

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H

3

5 M

,

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36

e

73

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145

i ( ? p    g K K 1 S w /  ? 6 0    g K K

,

j

H

3

  ( " k : > 1 ) . % ) \ w  o

,

0 h – p   N D E K K ( 6 0 ? : z

,

h – T  ) l E 0 % ) \ w (

AR(1)

h – 1 2 2 _ #

,

m 0 I

80

H :  F L _ 6 0 I  3 , u ~ /  

,

0 - 2 o ! :

Chow

Ï  ;

,

5 | 6 0 ( ? O p

70–80

H r

81–91

H S L v V 6 0

,

2 3 g = ; — u Ï 

,

> ?

F

Ï  F V m '

0.16, 5%

S B H I ( b :  ^ '

1.34,

} D “  g = ; — u ( n  j T 1

2 2 j T Ï  g T o 0 ^

5,

 g B & v d f (

Wald test

. B

Sargan test,

p

   g K K

,

q g x 5  u ? . € 7 u ? ( 0 < - 3 r ~ 1  > < = P

,

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,

S w j   G U s ™

AR(2)

A E Q j

,

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,

) ' r ~ ( h – T  1

10

9

Q A R S F

,

f l f A m ^ R S F [

a random shock

\

,

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,

o - / U  V , Õ Z m s > ‰ e ] U W

,

- š l / ] U  p - X n U m ^ Õ [ ] Y Z [ ^ \ q  ‚

,

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,

m ^ R S Y Y ^ ] ò . ô + ^ n 6 o  , n T S X 6 _ ` ô + f R / Õ Z

10

f 9 v 3 F ö l , - i k Z f w a i k q ( \

,

Š ‰

F

H f 7 J X 7 J

22

V Z p ô + i ÿ x y z 2 ƒ M M q 8 d m n

,

l o 7 J  { ) f

10.2594,

9 … S Y { S Œ

F

(42,127)

= 1.602,

| } 8 d m n

,

9 x i k n J ] d † ` Z p ô + i ÿ x y z 2 M 5 q a z i k Z

(20)

"

5

#

AR(2)

“ ” • –   ( )   U ¥

Wald (joint)

χ

2

(86)

= 4.29 × 10

11

***

Wald (dummy)

χ

2

(19)

= 224.2***

Wald (time)

χ

2

(19)

= 224.2***

Sargan test

χ

2

(799)

= 80.22

AR(1) test

N(0,1) = −0.7031

AR(2) test

N(0,1) = −1.390

AR(3) test

N(0,1) = −0.683

AR(4) test

N(0,1) = −0.2519

AR(5) test

N(0,1) = 0.1107

AR(6) test

N(0,1) = −1.515



:

P 0

3

Q - - ) ~ 4 W :  R € y 

,

â - r 0  L  3 4 T 4 ‚ Y Z [

,

d H ƒ „ X ß * ; 3 - H g Z ø

,

m [ n _ … \ ' a G , k Ù ƒ „ X ß *

,

, ê e 4 3 4 c  ß *  k Ù Ú d ' ) ]

1

i

= ρ

2

i

= 1),

r 0 s t L † n

3

% ‡ ] & ˆ ‰ [ Š C ß t ^

,

^ h H g  o ø / ' ‹ Œ  Ž 

,

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3,

_ ø /

0

.5[ln(P

3

/P

1

)]

2

 é / J

,

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,

r 0 s t   ‘ ( % <  ä å æ ç è !

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S

1

7

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2

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S

3

,

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9

7

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9

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1

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2

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H

3

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12

7

49

9

342

í e 4 ;  ^     % 1 p ’ f  D

,

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,

” 2 <

H

3

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,

{ ,

70.81%

 e 4 ;  ^     % - - @ B ç C s t L n

6,

q S  5 P R 

Wald test

ç C ÿ 0 + ' ,

1%

 - à á

,

g @ ] þ t  þ  * I ? $ ç C '   ý # & ) •  – — [

white

noise

\   X @ B

,

d Z [  B C ; (

,

j T ý # & 3 = A L ? $

,

F K ˜ /  r 0 ø ` / c 7 ™ $ % 9 d

,

š  L Z [ ' › 9 “ L Z [  )  :

,

p t œ  %

(21)

"

6

# ž ” & d   ( )   U ¥

Wald (joint)

χ

2

(14)

= 53,340

∗∗∗

Wald (dummy)

χ

2

(21)

= 81,120

∗∗∗

Wald (time)

χ

2

(21)

= 81,120

∗∗∗

AR(1) test

N(0,1) = 2.137

∗∗

AR(2) test

N(0,1) = 3.802

∗∗∗

AR(3) test

N(0,1) = 3.801

∗∗∗

AR(4) test

N(0,1) = 1.126

AR(5) test

N(0,1) = 1.292

AR(6) test

N(0,1) = −2.934

∗∗∗



:

P 0

3

Q

5.3

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,

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AR(2)

   6 ˜ ™ ) 2

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,

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(8)

M 6 S c ! 8  T 6 3  & \ o  

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8

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7,

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,

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0.7263

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12

o @ y \ ~  * ' E D

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,

¦ _ k ¥ >  § ¨ % 2 ^

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,

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,

Y Y ² g Ž 3

:

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22

@

,

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,

c 2 { q ' ( { { S f  ´ ƒ { { Z Y Y µ ÿ P « L ô q i ­ 0 - s

,

' ( { { 2 r x 5

,

c ´ ƒ ` /

,

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;

3 f p ) 2 { o ¶ ^ e p  

,

/ l q H  N O / E [ ) X F < = /

,

d [ . < = q N O Z 4 ? ‡ p f (

,

m  J [ . u v C

,

B C t ³ o e p · % ~ ñ J

,

\ t ¸  J M s ³ o ‡ ¹  S ~ ñ J Z g v

,

m e p   , -C

,

p ) ª , r P « L ô  Ž ' ( { {

,

 ‡ ¹ ˆ p ³ o · S ~

,

Ž Y Y , _ ®  Z 8 º x } ( K q M ?  

,

G Ž L  , r Z 8 ] # P * [

1997, 1998, 2002

\

,

] _ R l m ^ G S i k ^  J { | i k 2 { l x

22

V p x ô + q e p  

,

P « L ô q ' ( { { Œ » l S I m a 4 l ‰ } Z

12

Y M ô + @ / n N c ^ J [ M f e F M + K

,

¼ o ^ ½ z ¾ ] ¿ l ˆ d &

,

8 ] À o ô + 6 Á L ô + 6  € ô + 6 f J , j h  % L ô / Z

(22)

"

7

# Ã Ä Å Æ Ç È É r s %   ž Ÿ Ê Ë l + ¤ ¥ w , ¦   ž Ÿ Ê Ë l + ¤ ¥ w , ¦ § ¨ ž Ÿ

0.1441

0.2435

© ª « ž

0.5544

0.7541

¬ ­ ž Ÿ

0.2605*

0.1486

® ¯ « ž

0.4767

0.7900

| ° ž Ÿ

0.7263***

0.1370

| ° z ± ² ž

0.4180*

0.2249

| ³ ž Ÿ

0.4394***

0.1235

| ³ ´ µ « ž

0.3275***

0.1180

¶ · ž Ÿ

0.5868***

0.1736

¸ ¹ ´ µ « ž

0.3440**

0.1711

º » 5 ¼

0.6213***

0.1243

| z « ž

0.3151***

0.1040

½ « ž

0.6565***

0.1420

| ¾ z ± ² ž

0.2286

0.1725

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0.6407***

0.1397

¿ À z ± ² ž

0.2195

0.1836

Á  « ž

0.6411***

0.1381

Ã Ä z ± ² ž

0.1180

0.1507

z ´ ´ µ « ž

0.3380**

0.1478

| Å z ± ² ž

0.0000

Æ © Ç º « ž

0.6929

0.7518

¿ À ž Ÿ

0.0989

0.2244

) * +

0.4022



:

P 0

4

Q { 6 h Ì 6  Þ  ? ) X ß * r 0 1

,

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,

) { , t ÿ 0 -

,

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,

a 5 h ? 6 Í _ - # ` % d J

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,

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,

a 5  )  j 3 4 Ò j [ L  Ó

,

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,

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8

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< “ L Z [ .

,

Ù 5 c 7 h  7 Ü j 3 4  r 0 s t

,

' - H ]

,

4 / 3 4 7 Ü _ ä Z Ò Û

,

Ý ä Z Þ | ß x  þ à

,

  Ü j 3 4  j á ä Z

,

{ < Þ  & ' T 4 ß â þ à

,

a ã ä ' H j á ä Z

,

= å  Þ  & ' T 4 % | d î a

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,

_ 2 )  : % S T

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,

a 5 é  ) “ L Z [  ê t á Š C  ë € ë

,

 L Z [ / õ % ì + ] } n ~

,

á Š C € ë ‰ í 4 î ã b 7  U ï 8 h J ð : 4 '

,

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,

] ô õ _ > ö á Š C  ë € ë G

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,

ä Z Ò Û r 0 1 ' ƒ {

(23)

"

8

# ! ø ù  r s % ú û ü ý þ ÿ   þ ÿ       ý ý  ý ý  ý ý  

1.9947*** 1.0742***

1.0376***

−0.5476*** −2.07E-05

1.16E-04

(0.171)

(0.034)

(0.897)

(0.354)

(3.51E-04)

(1.88E-03)

   

2.1063*** 1.0721***

1.4578***

−0.4947*** −1.14E-07*** −5.77E-06***

(0.112)

(0.037)

(0.903)

(0.450)

(6.13E-07)

(2.41E-05)

   

1.8835*** 1.0763***

0.6191***

−0.6004*** −4.13E-05

2.37E-04

(0.144)

(0.030)

(0.667)

(0.209)

(4.96E-04)

(2.65E-03)



: 1.

       Ø  Q

2. ***

0 1 Ô 

1%

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; **

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5%

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; *

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10%

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,

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,

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,

13

S w v _  G U D  : v

,

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robustness

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14

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p ) y z i k , r L i ô + q $ i 2 { Œ % S Y G i ô +

,

h # P * [

1998

\ X & ' ( h ) * + [

2000

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14

# P * [

1998

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22

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,

, r s m . ,

;

ƒ  J { | i k d L  , r Z

(24)

6.

) L 1 8 " % i  # c

22

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70

4 :

91

4 6  ž 2 ?

,

F O

Ahn et

al.

[

2000

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,

=    ` = e B  5 6 " 0  T . J ( 7  T   6      3    d   8 "

Ahn et al.

[

2000

\ c   c A  P 5 6 ) 2

,

     7  :

Translog

b 8   2 M

,

{ N o   6 ` Z 

,

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,

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,

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,

; z  / ^ R % i  # 8 0  T .   6 ` Z   T d    o   ¹ +  = < " ˜ ™ ` Z  -

,

* Z  T    o       T 3 :

0.3563,

   o       T 3 : q 2

1.0209,

) K z Y i    c 0 ?  

,

+ , ! 8  T o e K E 4 s * #  %  o   d  ] ^   L 

,

* Z  T 6 3  & \   T 3 :

0.5978

(1 − 0.4022),

! 8  T  z 2 +    !

,

8 ; m

67%

(1/0.5978 − 1)

6 H b 8 d ' ?

,

 . 8 0  T . = Y ! ) ] ^   ] ^ d

(25)

c "

1

#

AR(1)

“ ” • – r s ( )   ' ( . ( ¤ ¥ + ¤ ¥ w , ¦

ln

y

1

t

0.1022

0.6629

ln

y

2

t

0.6511***

0.1651

ln

(P

2

/P

1

)

t

−0.1747

0.1355

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(P

3

/P

1

)

t

0.5692***

0.2050

0

.5(ln y

1

t

)

2

0.1107***

0.0330

0

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2

t

)

2

0.0500

0.0450

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y

1

t

ln

y

2

t

−0.0942***

0.0318

0

.5[ln(P

2

/P

1

)

t

]

2

0.1783***

0.0569

0

.5[ln(P

3

/P

1

)

t

]

2

−0.4231***

0.1287

ln

(P

2

/P

1

)

t

ln

(P

3

/P

1

)

t

0.4302***

0.1233

ln

y

1

t

ln

(P

2

/P

1

)

t

−0.0781**

0.0397

ln

y

1

t

ln

(P

3

/P

1

)

t

0.0315

0.0429

ln

y

2

t

ln

(P

2

/P

1

)

t

0.0467

0.0514

ln

y

2

t

ln

(P

3

/P

1

)

t

−0.0420

0.7660

ln

(y

1

)

t−1

0.0226

0.1140

ln

(y

2

)

t−1

0.0494

0.2200

ln

(P

2

/P

1

)

t−1

0.0171

0.1005

ln

(P

3

/P

1

)

t−1

−0.3104**

0.1423

0

.5[ln(y

1

)

t−1

]

2

−0.0555

0.0548

0

.5[ln(y

2

)

t−1

]

2

−0.0841

0.0734

ln

(y

1

)

t−1

ln

(y

2

)

t−1

0.0233

0.0545

0

.5[ln(P

2

/P

1

)

t−1

]

2

−0.1079***

0.0384

0

.5[ln(P

3

/P

1

)

t−1

]

2

0.1729**

0.0686

ln

(P

2

/P

1

)

t−1

ln

(P

3

/P

1

)

t−1

−0.1420

0.0920

ln

(y

1

)

t−1

ln

(P

2

/P

1

)

t−1

0.0019

0.0437

ln

(y

1

)

t−1

ln

(P

3

/P

1

)

t−1

0.0352

0.0703

ln

(y

2

)

t−1

ln

(P

2

/P

1

)

t−1

0.0157

0.0480

ln

(y

2

)

t−1

ln

(P

3

/P

1

)

t−1

−0.0201

0.0845



: 1.

S _  

483

` Q

2.

/ 0  1 2 3  4  5  

,

6  4  5  V 7 8   R  Ó 9 : ; < =

,

>   ? @  ! "   Q

3. ***

0 1 Ô 

1%

Õ Ö × Ø

; **

0 1 Ô 

5%

Õ Ö × Ø

; *

0 1 Ô 

10%

Õ Ö × Ø Q

(26)

c "

2

#

AR(2)

“ ” • – r s ( )   ' ( . ( ¤ ¥ + ¤ ¥ w , ¦

ln

y

1

t

0.1201

0.0841

ln

y

2

t

0.9789***

0.1812

ln

(P

2

/P

1

)

t

−0.0023

0.1183

ln

(P

3

/P

1

)

t

0.4478**

0.1876

0

.5(ln y

1

t

)

2

0.1046***

0.0329

0

.5(ln y

2

t

)

2

−0.0347

0.0483

ln

y

1

t

ln

y

2

t

−0.0873**

0.0339

0

.5[ln(P

2

/P

1

)

t

]

2

0.2274***

0.0379

0

.5[ln(P

3

/P

1

)

t

]

2

−0.4744***

0.1432

ln

(P

2

/P

1

)

t

ln

(P

3

/P

1

)

t

0.3219**

0.1320

ln

y

1

t

ln

(P

2

/P

1

)

t

−0.0531

0.0333

ln

y

1

t

ln

(P

3

/P

1

)

t

−0.0182

0.0454

ln

y

2

t

ln

(P

2

/P

1

)

t

−0.0028

0.0411

ln

y

2

t

ln

(P

3

/P

1

)

t

0.0501

0.0776

ln

(y

1

)

t−1

0.0564

0.0866

ln

(y

2

)

t−1

0.1543

0.2232

ln

(P

2

/P

1

)

t−1

0.0042

0.0856

ln

(P

3

/P

1

)

t−1

−0.0483

0.2004

0

.5[ln(y

1

)

t−1

]

2

−0.0351

0.0468

0

.5[ln(y

2

)

t−1

]

2

−0.0601

0.0692

ln

(y

1

)

t−1

ln

(y

2

)

t−1

−0.0063

0.0449

0

.5[ln(P

2

/P

1

)

t−1

]

2

−0.0894***

0.0322

0

.5[ln(P

3

/P

1

)

t−1

]

2

0.0668

0.1641

ln

(P

2

/P

1

)

t−1

ln

(P

3

/P

1

)

t−1

−0.1785

0.1346

ln

(y

1

)

t−1

ln

(P

2

/P

1

)

t−1

−0.0330

0.0378

ln

(y

1

)

t−1

ln

(P

3

/P

1

)

t−1

0.1005

0.0979

ln

(y

2

)

t−1

ln

(P

2

/P

1

)

t−1

0.0476

0.0432

ln

(y

2

)

t−1

ln

(P

3

/P

1

)

t−1

−0.1031

0.1349

ln

(y

1

)

t−2

0.0463

0.0822

ln

(y

2

)

t−2

−0.0875

0.1835

(27)

c "

2

#

AR(2)

“ ” • – r s ( ) [ A \   ' ( . ( ¤ ¥ + ¤ ¥ w , ¦

ln

(P

2

/P

1

)

t−2

−0.0413

0.0549

ln

(P

3

/P

1

)

t−2

−0.1603

0.1253

0

.5[ln(y

1

)

t−2

]

2

−0.0549***

0.0264

0

.5[ln(y

2

)

t−2

]

2

−0.0324

0.0497

ln

(y

1

)

t−2

ln

(y

2

)

t−2

0.0423

0.0312

0

.5[ln(P

2

/P

1

)

t−2

]

2

−0.0208

0.0301

0

.5[ln(P

3

/P

1

)

t−2

]

2

−0.0599

0.0758

ln

(P

2

/P

1

)

t−2

ln

(P

3

/P

1

)

t−2

0.1368**

0.0734

ln

(y

1

)

t−2

ln

(P

2

/P

1

)

t−2

−0.0042

0.0227

ln

(y

1

)

t−2

ln

(P

3

/P

1

)

t−2

−0.0280

0.0561

ln

(y

2

)

t−2

ln

(P

2

/P

1

)

t−2

0.0032

0.0215

ln

(y

2

)

t−2

ln

(P

3

/P

1

)

t−2

0.0629

0.0789



:

P B 0

1

Q c "

3

# ž ” & d r s ( )   ' ( . ( ¤ ¥ + ¤ ¥ w , ¦

ln

y

1

t

0.1821***

0.0146

ln

y

2

t

0.1125***

0.0075

ln

(P

2

/P

1

)

t

0.0402***

0.0040

ln

(P

3

/P

1

)

t

0.0645***

0.0069

0

.5(ln y

1

t

)

2

−0.0965***

0.0073

0

.5(ln y

2

t

)

2

0.0684***

0.0039

ln

y

1

t

ln

y

2

t

0.0861***

0.0033

0

.5[ln(P

2

/P

1

)

t

]

2

0.1169***

0.0093

0

.5[ln(P

3

/P

1

)

t

]

2

0.0218

0.0157

ln

(P

2

/P

1

)

t

ln

(P

3

/P

1

)

t

0.0440***

0.0061

ln

y

1

t

ln

(P

2

/P

1

)

t

−0.0610***

0.0050

ln

y

1

t

ln

(P

3

/P

1

)

t

−0.0711***

0.0083

ln

y

2

t

ln

(P

2

/P

1

)

t

0.0466***

0.0037

ln

y

2

t

ln

(P

3

/P

1

)

t

0.0542***

0.0032



:

P B 0

1

Q

(28)

7 8 ! " C D [

1995

\

,

‚ = E F G H Í Î H I J 5 ƒ K L „

,

M N O H P Q R R S T

, 16, 109–

154

Q U = = [

1997

\

,

‚ = E F G H Í Î T 5 „ ƒ P V : ; W X Y Z … [ \ ƒ ] ] „

,

M ^ ^ _ ` N a R b c T

, 9, 85–123

Q U = = [

1998

\

,

‚ C X Y T Z … d  K L H Í Î  e [ V f A H P „

,

M H P … ^ g c T

, 26, 209–241

Q U = = [

1999

\

,

‚ 6 h i d  j \ k H Í Î l Q ƒ H P 5 „ W m  " \ n  ] ] „

,

M H P … ^ T

, 27, 283–309

Q U = = [

2002

\

,

‚ k H f †  Í Î o † p q r s t u Î  ƒ : ; „

,

M H P … ^ T

, 30, 79–

113

Q v w x V y ‡ < [

1998

\

,

‚ Ï Ð z { * ƒ Í Î 5 „ K L „

,

M H P … ^ g c T

, 26, 337–

366

Q v w x V | } ~ [

2000

\

,

‚ Í Î e [ U f  €  Ò V H I 5 „ K L W C D 2 ‚ n ƒ ] ] „

,

M ^ ^ _ ` N a R b c T

, 12, 103–148

Q v w x

,

| ƒ „ V C … † [

1997

\

,

‚ = E  ‡ ˆ o Í Î  5 „ K L [

1986–1994

E \ „

,

M H P … ^ T

, 25, 69–95

Q

Ahn, S. C., D. H. Good, and R. C. Sickles (2000), “Estimation of Long-Run Inefficiency

Levels: A Dynamic Frontier Approach,” Econometric Reviews, 19, 461–492.

Aigner, D., C. A. K. Lovell, and P. Schmidt (1977), “Formulation and Estimation of Stochastic

Frontier Production Function Models,” Journal of Econometrics, 6, 21–37.

Allen, L. and A. Rai (1996), “Operational Efficiency in Banking: An International

Compari-son,” Journal of Banking and Finance, 20, 655–672.

Arellano, M. and S. Bond (1991), “Some Tests of Specification for Panel Data: Monte Carlo

Evidence and an Application to Employment Equations,” Review of Economic Studies,

58, 277–297.

Banker, R. D. and R. C. Morey (1986), “Efficiency Analysis for Exogenously Fixed Inputs and

Outputs,” Operations Research, 34, 513–521.

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