Dec 2, 2003 - nato Lima, Carlos Eugênio da Costa, Samuel Pessôa, Marcelo ...... [3] Barros, Ricardo Paes de, Camargo, José Márcio & Mendonça, Rosane (1997). ..... dos Santos Junior; Naércio Menezes Filho; Pedro Cavalcanti Ferreira ...
Nº 532
ISSN 0104-8910
Regional or educational disparities? A counterfactual exercise Angelo José Mont’Alverne Pedro Cavalcanti Ferreira Márcio Antônio Salvato Março de 2004
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5$ )(
South 0.804 0.895 0.715 0.776 0.689 0.747 0.736 0.806
' " U
# H
'(
3 "
E
!
Theil
Gini
1970
1980
1991
1981
1990
North
0.44
0.56
0.72
0.51
0.58
2001 0.57
Northeast
0.57
0.65
0.78
0.57
0.63
0.60
Midwest
0.55
0.66
0.70
0.58
0.61
0.60
Southeast
0.61
0.60
0.66
0.56
0.58
0.57
South
0.53
0.58
0.63
0.54
0.58
0.55
Brazil
0.68
0.70
0.78
0.58
0.61
0.60
Source: IPEA
E
! ( 56D% 4H H ) #%%%.P
H $ ( ( 58. E $ ( ) $ ! 57.SB 56&6
H E
9
(
5D.PB
567%$
(5 ! 4
! ( 1
( (
! 5&.5B
8
9.5
9.0
8.5
8.0
7.5
7.0
NE SE
6.5
BR 6.0
1939
'( " )
(
!
1944
1949
1954
1959
1964
1969
! ( #%%% ( ) ( ( ! ( ( ( #A 4H ( #8$ )( ( " T ( 9 ( !
. PH
1974
! ( E,H .
A
1979
1984
1989
1994
1999
( (
(
( (
(
( (
H !
E
(# (
500 DF 450
Per Capita Income (R$)
400 350
São Paulo
300 250 Rio de Janeiro 200 M inas G erais 150
Ceará
100 Sergipe
Piauí 50 0 3
4
5
6
7
8
9
Years of Schooling
? ! ( 1 = ( ;4 1 8 5666 4 "; ( , E H (; : E,H 8$ ) ( ( ) ( " ! ( ( #%%% . '( ( 1 " ( ! ( ( . E ( ( ;$ )( ( $ ! ( 4 $ $ $ $ $ .8W ; " ( X$ ! ( 4" ( $ A; " ( ;$ .8$ $) * ! ( "K . ? ( 0 ) ( $ )( ( ( )! ( ) ( ( +( ( ( . '( ! ( ) ( ! ! " ( ! ( ( ;4 !" 56668$ ) ( * ) ( ) * D% ( ) *. ? ( ) * ( ( ; ! * ! ! ! ! ( ! ! ! ( ( ) $ ( " ) " ( ( ; ;4 # " 8. &A#$&6& ) ) ( ( ( ;$ ) ( 7S$555 " ( 5% ; ( ! $ )( ! F ) * " " ! . L ( #PA$#P# ! $ ; 5S&$7&D ) 0 6 ! ; $ ( &$#7A ( ! + ( $ 5S%$&76 . ! ( ! , $) A "0 ! ( @ 4 8C < 4 8$ 1 ( 41 8C ( $ ( N 4 58C ( ( N < 4 #8. 5% ? ( ( 1 ( ( " ( ; ( ( ) ( ( ! ( > , . ? ( 6 '(
) *. 5% # ! ( ) (
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< $
$
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!
! ! ! " $ < " ( ( ( ;. ? N " ( ! ( !; ( ( ( ( $ ( " ( " > ( F 4 ( / 1 8. ? "0 ! ) ( ( < $" ( ( , ! . $ ) ( ;$ < ( ;, )( ( ( ( ! ! ! ;$ )( ( ! ; "; ( ! $ ( " ) * ! . E ( ( ( ! ( " ! " ; ( ( ! ! ! ;. '( ) " ( ! "; + ( ! $ )( ( ) ( ) ( ( . !
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& 0 1 !"
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)
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+
Persons interviewed
Brazil 352,393
NE 113,902
CE 22,124
SE1 110,558
SE2 67,890
SP 42,668
IAP with known income and schooling
170,369
53,210
10,163
53,162
32,658
20,504
37,808
14,718
2,588
9,530
6,061
3,469
28,501 104,060
10,237 28,255
1,867 5,708
8,251 35,381
5,486 21,111
2,765 14,270
Persons with no labor income Persons working less than 40 hours/week Sample size
'" (in R$)
D0
(
!
Brazil
NE
CE
SE1
SE2
SP
mean
572
358
338
676
554
775
standard deviation
905
704
697
977
866
1.055
Gini Coeff.
0.55
0.57
0.58
0.52
0.53
0.50
Income from labor
Log labor income mean
5.81
5.3
5.21
6.04
5.83
6.22
standard deviation
0.96
0.95
0.98
0.9
0.9
0.85
6.4 0.32
4.6 0.42
4.5 0.42
7.3 0.29
6.9 0.30
7.8 0.27
Schooling (years) Gini Coeff.
'"
D ( ) ( ( ( ( ( ! $ ( F ;$ ! ( "; ( U H . '( ! ( (; ( ! ( ; $ + . '( ( ( ( ( ( . E $ ) ( ! ( $ )( ( ( ( (; ( ( ( "; ( 9 ( . (
S
( !
!
( U (
F ( ;&; ;
9
! ( ; (
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! ( H
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( ! !
$
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( ) (( (
+
(
H
( &4 8 :
( $
*
(
( * ) ( ! " .
E
!
9
10
(!
! "; $ (
8.0 7.5
Median Work Income (in log)
NE SE1
7.0
SE2 6.5 6.0 5.5 5.0 4.5 4.0 0
1
2
3
4
5
6
7
8
11
12
13
14
15
11
12
13
14
15
"K
$
Y ears of S chooling
H
( &4"8 :
(
E
!
9
10
8.0 7.5
Median Work Income (in log)
SP CE
7.0 6.5 6.0 5.5 5.0 4.5 4.0 0
1
2
3
4
5
6
7
8
Y ears of S chooling
(
( ) ( ; !" ( ' " &$ ( ! ! ) F " ) ( . E ! $" ! (; $) ) ; ! ; 4 Q 5&7 ( ! 8$ ! ;> 5%%. '( !" ! ) " ) DP%
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)
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(
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
55
*
4566%8
(
456658
6
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478 ( $ ( ! "; '( !$" ( ; ! 4 ( !. L ! ; * ( 9 $ " !
" ( " ! F ! 0 8 ! " ) ( ( ( 5%
! ! (
> ! $ 9
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( " ) 0
(
!
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"; ( 9 9$ $ 9
W)(; *. , .
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?
( ! ( ; " ( " ( (! ! ( ! 4, - 8$ &. '( $ " ( 1 ( $ ( ( ( ( 4 < . E ( ) !! $ ) ( "; ( ( < $ ) ( "; ( ( ( ( ( ( ( . ( ( ( 4D078 " ) ( ) ( ( ; ! )( ( ( $ ( 5# ( ) ( . '( ( (
H 5
! ( A "0 ! ( ) ! ( 0 ) ( ( ! "; ( 5 #8 ( ( ( ( 1 ( $ 4 5 #8. '( @
;$ ;
(
( (! .
(D
1
1 ) (
(
5
0.80 NE
0.70 0.60
SE1
0.50 0.40
NE/SE1
0.30 0.20 0.10 0.00 4
7
11
18
29
48
80
132
217
358
590
973
1604
work income 5#
( !
;
, -
;$ (
55
4
8.
2644
4359
7187
11849
19536
H #
(A
1
1 ) (
(
#
0.80 NE
0.70 0.60 SE2
0.50 0.40 NE/SE2
0.30 0.20 0.10 0.00 4
7
11
18
29
48
80
132
217
358
590
973
1604
2644
4359
7187
11849
19536
11849
19536
work income
H
(7 ) (
(
0.80 CE
0.70 0.60
SP
0.50 0.40
CE/SP
0.30 0.20 0.10 0.00 4
7
11
18
29
48
80
132
217
358
590
973
1604
2644
4359
7187
work income
?
(
; " ) ( ! " ( V ! 0 ! $ )( ( ( ! ! ! ( 9 " ) ( ! @ ? K ( (; ( ( ( F 5B > $ ( ) ( ( ( ( ( > ( ! 5& E ( ( " ( 9 ( ( ; ( ! ( ! ! ! ;$ Q 5&7 ( ! ( ;$ ( 5&
1 + 1 + +
! ( 5@ #@ @
F
( ( . " (
.
. '( !
( @ ( 1 ( 1
( (
( ( (
(
5#
( (
@ ( ! ) ( ) ( ( 5&B ( ! $ ( S%B ( ( ( ! . '( ! ( ( ! 1 ( ( " 7%B ( ( ( 5 ! 7SB ( #$ ( ( ! F ( ! ( ( ) ( ( ! . '( ! ( ( ( 1 ) ( "; ( ( ( # ( 6%B ( # ! . '( " H ( S 64 .D .7 ( 8$ )( ( ( ! " ( + ( ) " ( ) ( ( ( ( ( ( ( ! . 5D
(
( > (
$ ( )
! ! &PB
( $ (
"
)
! &&B
S6B.
5D
DSB
(
( ( ( ) $ ( 1 ( ) ( ( ( $" ! F . '( 9
(
"; ( "; ! ( 0 " ( ! " . ). E ! ! $ 0 ) " ! ( AAB ( S%B )( ) ( ( 1 ( ) ( ) 9 @ 48 ( ! 0 4 8 ( ! $ ( ) ( ; $ ! ( ! ) . E ( > ( ( ) " !4 8 $ $ ! ( 5P
( (
( (
;
$ . .$
F
"
( ! (
(
( ) !
! ( )
"
"
;.
' "
60
";
(
Metric
SP x CE
SE1 x NE
SE2 x NE
Mean
56.3%
55.3%
69.2%
Median Theil Coefficient
27.8% -10.7%
26.9% -18.0%
32.6% -23.4% -75.0%
Gini Coefficient
-51.9%
-66.9%
Kullbach-Leibler Distance
55.3%
55.0%
57.3%
Chernoff Distance Sibson Distance
56.0% 52.5%
55.5% 53.6%
57.5% 56.5%
? ( " ! ( " 4Y#AB8$ ! ( . ? ( ( ( ) ( " ( ( E ( " "; ( ( 9 ( . $ T ; ( ! " 0 . '( 9 ) " ( ) ) (( ( ! ( ) H ( S 6.
(
( 4:#AB ( "
) (
( (
)
) - ";
0
8
) ( ( ! ! ( !$ ( ( ) ) '" A ( ( 6. ( ( ( ! 9 ( ( ) ( ) *$ ( " ( ( 9 ) $ ( ! " "; ( ) ( ! 4 ! ) 8 4 ! ! 8$ ( 9 ( " )
E ( ) *) ( ;( )! ( ( ! 9 " ) ( 1 ( ( " ) ( < "; ( 9 ( ( . ? ! ! ! ; $ ) ( ( ( " + "; ( " ( ! . ? ! ( " ! ( ( 1 ( ) ( "; ( ( ( ( ( < . ? ( @ 48 ( ! ( " ) ( ) ! $ . .$ ( ! F ;$ )( ( ! $ ( C4 8! ( AAB ( 9 ! " ) ( 1 ( ( " ) ( < $ )( ! "; ( V " (03 " ! ! $ ( 9 ( C4 8 ( ) ( "; ( ( ! ( 1 ( "; ; A%B "; ! ( S%B C4 8 ( ( ( ( ! $ ( ) ( " ( 9 ( ( 9 ! C 4 8 ( ! ( )( ) ( ! ( ( ( ( $ )( ! ( ) > ( . 56
'(
( "; (
(
( $ (
+ " ( ) *) ! 9
! ;" ! ( ! 9 0 $ ! ( ! ( ; ( $ ( $F ; $ 0 ! ( . ( ! ( $ ! ( ( " ( $ * 9 . '( ! ( " ( ! ) " 0 F ;O . L ( ! " ( 1 ( "; ( 56 1 ( C 4 8 ) ( ( ! ( > , )( $ ! F ( .
9 ! " $
; ! ( ! ( ! " !" M ) " @ 48 ) ( ( ( , - ) ( ( " "; ( ! ( -
W5X , $ , - @ ( W#X ,
$
2 O$ '
, W&X , M
4566&8. M ;
[
$
$
< !
$ ,
$
WAX , L
2 !
O$ $ 0,
R
$
! . R $
*
O$
)
(
W5&X
"
$
; W5DX
(
. 456A78. M O$ &' !
! * ( '
$ . .2 $ ( V )% A&$ 7P&076%.
W5AX
.
! 1
0
. 456658. M ; !
! " O$
! #S$ P�P&S. 0"
! $ ,. 456P78. * ) @ ( ! 2 = $ 56P7.
3
0
, )
)
(
0
*
!
)
$
! H
(
.5
1
1 ) (
(
0.80 NE
0.70 0.60 SP
0.50 0.40 NE/SP
0.30 0.20 0.10 0.00 4
7
11
18
29
48
80
132
217
358
590
973
1604
2644
4359
7187
11849
19536
work income
9
" )
(
"
1 4
8
0.40 SP - CE
0.30 0.20 0.10 0.00 4
7
11
18
29
48
80
132
217
358
590
973
1604
2644
-0.10 SP - CE/SP
-0.20 -0.30 -0.40 -0.50 -0.60
work income
#5
4359
7187
11849
19536
H
(
.#
5
) (
(
5
0.80
CE 0.70
0.60
SE1 0.50
0.40
CE/SE1 0.30
0.20
0.10
0.00 4
7
11
18
29
48
80
132
217
358
590
973
1604
2644
4359
7187
11849
19536
work income
9
" )
(
"
5
4
8
0.40 SE1 - CE
0.30 0.20 0.10 0.00 4
7
11
18
29
48
80
132
217
358
590
973
1604
2644
4359
-0.10 SE1 - CE/SE1
-0.20 -0.30 -0.40 -0.50 -0.60
work income
##
7187
11849
19536
H
(
.&
#
) (
(
#
0.80
CE 0.70
0.60
SE2 0.50
0.40
CE/SE2 0.30
0.20
0.10
0.00 4
7
11
18
29
48
80
132
217
358
590
973
1604
2644
4359
7187
11849
19536
work income
9
" )
(
"
#
4
8
0.40 0.30 SE2 - CE
0.20 0.10 0.00 4
7
11
18
29
48
80
132
217
358
590
973
1604
2644
4359
7187
11849
19536
-0.10 SE2 - CE/SE2
-0.20 -0.30 -0.40 -0.50 -0.60
work income
H
(
.D 0
E $
! "; + 5
5
1,600 1,400
Work Income
1,200 1,000 CE SE1 CE/SE1
800 600 400 200 10
20
30
40
50 Percentiles
#&
60
70
80
90
H
(
.A :
E $
! "; + #
#
1,200
Work Income
1,000
800 CE SE2 CE/SE2
600
400
200
10
20
30
40
50
60
70
80
90
Percentiles
H
(
.7 0
E 1 $
! "; 1 +
1,600 1,400
Work Income
1,200 1,000 NE SP NE/SP
800 600 400 200 10
20
30
40
50
60
70
80
90
Percentiles
' " Brazil Percentile 10 20 30 40 50 60 70 80 90 Mean SD
CE
.5 : 1 SP
" NE
(
!
E
Estimated Distributions(*) SE1 SE2 CE/SP
!
"
CE/SE1
CE/SE2
NE/SP
NE/SE1
116 147 189 237 293 365 469 665 1,130
61 90 117 136 158 194 247 334 567
187 250 302 358 428 523 672 916 1,510
70 101 124 141 166 202 262 365 639
144 196 250 299 365 450 572 796 1,339
125 153 192 235 284 358 459 639 1,086
87 125 147 183 233 296 412 639 1,200
82 122 143 172 219 279 380 578 1,108
77 116 137 162 204 260 344 513 1,002
94 128 148 183 233 302 412 633 1,176
89 124 144 174 219 281 384 578 1,086
572 905
338 697
775 1,056
358 704
676 977
553 855
584 1,091
547 1,041
503 978
569 1,033
534 687
506 97 409 244
1,323 242 1,082 666
569 96 473 264
1,195 221 974 600
961 159 801 486
1,113 145 967 514
1,025 137 888 457
926 128 798 397
1,082 139 943 505
997 130 867 454
Differences of Percentiles 10-90 1,014 10-50 177 50-90 837 20-80 518
(*) The values presented were extracted from the estimated (in log), taking the exponential of each point. The means and standard deviations were calculated directly from the reweighted sample with the income in level.
#D
NE/SE2
' "
.# 0 E
!
(
Percentile 10 20 30 40 50 60 70 80 90
CE x SP
CE/SP x SP
CE x SE1
CE x SE2
33% 36% 39% 38% 37% 37% 37% 36% 38%
47% 50% 49% 51% 54% 57% 61% 70% 79%
42% 46% 47% 45% 43% 43% 43% 42% 42%
49% 59% 61% 58% 55% 54% 54% 52% 52%
Percentile 10 20 30 40 50 60 70 80 90
NE x SP
NE/SP x SP
NE x SE1
NE x SE2
38% 41% 41% 39% 39% 39% 39% 40% 42%
50% 51% 49% 51% 54% 58% 61% 69% 78%
49% 52% 50% 47% 45% 45% 46% 46% 48%
56% 66% 64% 60% 58% 57% 57% 57% 59%
' "
.& :
U
H
Brazil
57% 62% 57% 58% 60% 62% 66% 73% 83%
61% 76% 71% 69% 72% 73% 75% 80% 92%
NE/SE1 x SE1 NE/SE2 x SE2
62% 63% 58% 58% 60% 63% 67% 73% 81%
67% 78% 73% 70% 72% 73% 76% 82% 90%
'(
Gini Coefficient
Theil Coefficient
0.551
0.607
CE
0.582
0.768
NE
0.574
0.731
SE1 SE2
0.523
0.539
0.534
0.573
SP
0.505
0.498
CE/SP
0.622
0.797
CE/SE1
0.621
0.805
CE/SE2
0.618
0.810
NE/SP
0.609
0.760
NE/SE1 NE/SE2
0.608
0.766
0.604
0.768
Original Weighting Reweighting by Education
Regions
CE/SE1 x SE1 CE/SE2 x SE2
Remark: SE1 = MG + RJ + SP SE2 = MG + RJ
'"
.D :
";
(
Metric
SP x CE
SE1 x CE
SE2 x CE
SP x NE
SE1 x NE
SE2 x NE
Mean
56.3%
61.8%
76.7%
50.6%
55.3%
69.2%
Median
27.8%
29.7%
36.9%
25.5%
26.9%
32.6%
Theil Coefficient
-10.7%
-16.2%
-21.5%
-12.3%
-18.0%
-23.4%
Gini Coefficient
-51.9%
-66.8%
-75.0%
-51.4%
-66.9%
-75.0%
Kullbach-Leibler Distance
55.3%
58.7%
60.3%
51.5%
55.0%
57.3%
Chernoff Distance Sibson Distance
56.0% 52.5%
59.1% 56.9%
60.4% 59.2%
52.3% 49.2%
55.5% 53.6%
57.5% 56.5%
#A
ENSAIOS ECONÔMICOS DA EPGE 482.
RETORNOS ANORMAIS E ESTRATÉGIAS CONTRÁRIAS - Marco Antonio Bonomo; Ivana Dall’Agnol – Junho de 2003 – 27 págs.
483.
EVOLUÇÃO DA PRODUTIVIDADE TOTAL DOS FATORES NA ECONOMIA BRASILEIRA: UMA ANÁLISE COMPARATIVA - Victor Gomes; Samuel de Abreu Pessoa;Fernando A . Veloso – Junho de 2003 – 45 págs.
484.
MIGRAÇÃO, SELEÇÃO E DIFERENÇAS REGIONAIS DE RENDA NO BRASIL - Enestor da Rosa dos Santos Junior; Naércio Menezes Filho; Pedro Cavalcanti Ferreira – Junho de 2003 – 23 págs.
485.
THE RISK PREMIUM ON BRAZILIAN GOVERNMENT DEBT, 1996-2002 - André Soares Loureiro; Fernando de Holanda Barbosa - Junho de 2003 – 16 págs.
486.
FORECASTING ELECTRICITY DEMAND USING GENERALIZED LONG MEMORY - Lacir Jorge Soares; Leonardo Rocha Souza – Junho de 2003 – 22 págs.
487.
USING IRREGULARLY SPACED RETURNS TO ESTIMATE MULTI-FACTOR MODELS: APPLICATION TO BRAZILIAN EQUITY DATA - Álvaro Veiga; Leonardo Rocha Souza – Junho de 2003 – 26 págs.
488.
BOUNDS FOR THE PROBABILITY DISTRIBUTION FUNCTION OF THE LINEAR ACD PROCESS – Marcelo Fernandes – Julho de 2003 – 10 págs.
489.
CONVEX COMBINATIONS OF LONG MEMORY ESTIMATES FROM DIFFERENT SAMPLING RATES - Leonardo R. Souza; Jeremy Smith; Reinaldo C. Souza – Julho de 2003 – 20 págs.
490.
IDADE, INCAPACIDADE E A INFLAÇÃO DO NÚMERO DE PESSOAS COM DEFICIÊNCIA Marcelo Neri ; Wagner Soares – Julho de 2003 – 54 págs.
491.
FORECASTING ELECTRICITY LOAD DEMAND: ANALYSIS OF THE 2001 RATIONING PERIOD IN BRAZIL - Leonardo Rocha Souza; Lacir Jorge Soares – Julho de 2003 – 27 págs.
492.
THE MISSING LINK: USING THE NBER RECESSION INDICATOR TO CONSTRUCT COINCIDENT AND LEADING INDICES OF ECONOMIC ACTIVITY - JoãoVictor Issler; Farshid Vahid – Agosto de 2003 – 26 págs.
493.
REAL EXCHANGE RATE MISALIGNMENTS - Maria Cristina T. Terra; Frederico Estrella Carneiro Valladares – Agosto de 2003 – 26 págs.
494.
ELASTICITY OF SUBSTITUTION BETWEEN CAPITAL AND LABOR: A PANEL DATA APPROACH - Samuel de Abreu Pessoa ; Silvia Matos Pessoa; Rafael Rob – Agosto de 2003 – 30 págs.
495.
A EXPERIÊNCIA DE CRESCIMENTO DAS ECONOMIAS DE MERCADO NOS ÚLTIMOS 40 ANOS – Samuel de Abreu Pessoa – Agosto de 2003 – 22 págs.
496.
NORMALITY UNDER UNCERTAINTY – Carlos Eugênio E. da Costa – Setembro de 2003 – 08 págs.
497.
RISK SHARING AND THE HOUSEHOLD COLLECTIVE MODEL - Carlos Eugênio E. da Costa – Setembro de 2003 – 15 págs.
498.
REDISTRIBUTION WITH UNOBSERVED 'EX-ANTE' CHOICES - Carlos Eugênio E. da Costa – Setembro de 2003 – 30 págs.
499.
OPTIMAL TAXATION WITH GRADUAL LEARNING OF TYPES - Carlos Eugênio E. da Costa – Setembro de 2003 – 26 págs.
500.
AVALIANDO PESQUISADORES E DEPARTAMENTOS DE ECONOMIA NO BRASIL A PARTIR DE CITAÇÕES INTERNACIONAIS - João Victor Issler; Rachel Couto Ferreira – Setembro de 2003 – 29 págs.
501.
A FAMILY OF AUTOREGRESSIVE CONDITIONAL DURATION MODELS - Marcelo Fernandes; Joachim Grammig – Setembro de 2003 – 37 págs.
502.
NONPARAMETRIC SPECIFICATION TESTS FOR CONDITIONAL DURATION MODELS Marcelo Fernandes; Joachim Grammig – Setembro de 2003 – 42 págs.
503.
A NOTE ON CHAMBERS’S “LONG MEMORY AND AGGREGATION IN MACROECONOMIC TIME SERIES” – Leonardo Rocha Souza – Setembro de 2003 – 11págs.
504.
ON CHOICE OF TECHNIQUE IN THE ROBINSON-SOLOW-SRINIVASAN MODEL - M. Ali Khan – Setembro de 2003 – 34 págs.
505.
ENDOGENOUS TIME-DEPENDENT RULES AND THE COSTS OF DISINFLATION WITH IMPERFECT CREDIBILITY - Marco Bonomo; Carlos Viana de Carvalho – Outubro de 2003 – 27 págs.
506.
CAPITAIS INTERNACIONAIS: COMPLEMENTARES OU SUBSTITUTOS? - Carlos Hamilton V. Araújo; Renato G. Flôres Jr. – Outubro de 2003 – 24 págs.
507.
TESTING PRODUCTION FUNCTIONS USED IN EMPIRICAL GROWTH STUDIES - Pedro Cavalcanti Ferreira; João Victor Issler; Samuel de Abreu Pessoa – Outubro de 2003 – 8 págs.
508.
SHOULD EDUCATIONAL POLICIES BE REGRESSIVE ? Daniel Gottlieb; Humberto Moreira – Outubro de 2003 – 25 págs.
509.
TRADE AND CO-OPERATION IN THE EU-MERCOSUL FREE TRADE AGREEMENT - Renato G. Flôres Jr. – Outubro de 2003 – 33 págs.
510.
OUTPUT CONVERGENCE IN MERCOSUR: MULTIVARIATE TIME SERIES EVIDENCE - Mariam Camarero; Renato G. Flôres Jr; Cecílio Tamarit – Outubro de 2003 – 36 págs.
511.
ENDOGENOUS COLLATERAL - Aloísio Araújo; José Fajardo Barbachan; Mario R. Páscoa – Novembro de 2003 – 37 págs.
512.
NON-MONOTONE INSURANCE CONTRACTS AND THEIR EMPIRICAL CONSEQUENCES Aloísio Araujo; Humberto Moreira – Novembro de 2003 – 31 págs.
513.
EQUILIBRIA IN SECURITY MARKETS WITH A CONTINUUM OF AGENTS - A. Araujo; V. F. Martins da Rocha; P. K. Monteiro – Novembro de 2003 – 17 pág’s.
514.
SPECULATIVE ATTACKS ON DEBTS AND OPTIMUM CURRENCY AREA: A WELFARE ANALYSIS - Aloisio Araujo; Márcia Leon – Novembro de 2003 – 50 págs.
515.
O MÉTODO GENERALIZADO DOS MOMENTOS(MGM): CONCEITOS BÁSICOS - Renato G. Flôres Jr – Novembro de 2003 – 27 págs.
516.
VARIÁVEIS INTRUMENTAIS E O MGM: USO DE MOMENTOS CONDICIONAIS - Renato G. Flôres Jr – Novembro de 2003 – 27 págs.
517.
O VALOR DA MOEDA E A TEORIA DOS PREÇOS DOS ATIVOS - Fernando de Holanda Barbosa – Dezembro de 2003 – 17 págs.
518.
EMPRESÁRIOS NANICOS, GARANTIAS E ACESSO À CRÉDITO - Marcelo Côrtes Néri; Fabiano da Silva Giovanini - Dezembro de 2003 – 23 págs.
519.
DESENHO DE UM SISTEMA DE METAS SOCIAIS - Marcelo Côrtes Néri; Marcelo Xerez Dezembro de 2003 – 24 págs.
520.
A NEW INCIDENCE ANALYSIS OF BRAZILIAN SOCIAL POLICIES USING MULTIPLE DATA SOURCES - Marcelo Côrtes Néri - Dezembro de 2003 – 55 págs.
521.
AN INTRA-HOUSEHOLD APPROACH TO THE WELFARE COSTS OF INFLATION - Rubens Penha Cysne – Janeiro de 2004 – 16 págs.
522.
CENTRAL LIMIT THEOREM FOR ASYMMETRIC KERNEL FUNCTIONALS - Marcelo Fernandes; Paulo Klinger Monteiro – Fevereiro de 2004 – 23 págs.
523.
THE TRADE-OFF BETWEEN INCENTIVES AND ENDOGENOUS RISK - Aloísio Araujo; Humberto Moreira; Marcos H. Tsuchida – Fevereiro de 2004 – 21 págs.
524.
DO DIVIDENDS SIGNAL MORE EARNINGS ? - Aloísio Araujo; Humberto Moreira; Marcos H. Tsuchida – Fevereiro de 2004 – 26 págs.
525.
Biased managers, organizational design, and incentive provision - Cristiano M. Costa; Daniel Ferreira; Humberto Moreira – Fevereiro de 2004 – 11 págs.
526.
Land taxes in a Latin American context - Juliano J. Assunção; Humberto Moreira – Fevereiro de 2004 - 19 págs.
527.
Indicadores coincidentes de atividade econômica e uma cronologia de recessões para o Brasil - Angelo J. Mont’alverne Duarte; João Victor Issler; Andrei Spacov - Fevereiro de 2004 – 41 págs.
528.
TESTING UNIT ROOT BASED ON PARTIALLY ADAPTIVE ESTIMATION - Zhijie Xiao; Luiz Renato Lima – Março de 2004 – 27 págs.
529.
DO SHOCKS PERMANENTLY CHANGE OUTPUT? LOCAL PERSISTENCY IN ECONOMIC TIME SERIES - Luiz Renato Lima; Zhijie Xiao – Março de 2004 – 21 págs.
530.
A NEW PERSPECTIVE ON THE PPP HYPOTHESIS - Soyoung Kim; Luiz Renato Lima – Março de 2004 – 36 págs.
531.
TRADE LIBERALIZATION AND INDUSTRIAL CONCENTRATION: EVIDENCE FROM BRAZIL Pedro Cavalcanti Ferreira; Giovanni Facchini – Março de 2004 - 25 págs.
532.
REGIONAL OR EDUCATIONAL DISPARITIES? A COUNTERFACTUAL EXERCISE - Angelo José Mont’Alverne; Pedro Cavalcanti Ferreira; Márcio Antônio Salvato – Março de 2004 – 25 págs.
