Download disk

Documentation for this disk.
There are 8 files for the original Barro data set. The ninth file listed
(BARRO9.DAT) matches certain variables from the World Development Report
data set with the Barro data set. There are 118 cross-sectional
observations
on each file.
Names of variables on the files follow the file names below. Variable
descriptions and countries included in the samples follow that.
Missing values on each of these files have been set to -1.0E-15, values
consistent with HUMMER.
If one wishes to be completely consistent with Barro's empirical work,
then
when the 98 country sample is used, each variable should be interacted
with
the BIGSAMP dummy. Likewise, if the 76 country sample is desired,
interactions with the SMLSAMP variable should be made.
As a check, means and variances of the interacted variables should be
computed and compared to the appendix results in Barro's empirical paper.
Note, however, that the ASSASS variable is not correct. The
assassinations
variable listed below and on the file is that identified by Barro as
being
the assassinations variable. However, what we see is not what he claims
it to be. Further, no other variable on his original file has a
mean/variance matching that listed in his paper.
The variable names and descriptions should match up to those used in
Barro's
empirical piece fairly well.
THE FILES:
File = Barro1.dat
Variables = bigsamp smlsamp sec60 sec85
File = Barro2.dat
Variables = sttease
File = Barro3.dat
Variables = mort04
File = Barro4.dat
Variables = ppi60dev
File = Barro5.dat
Variables = fertnet
File = Barro6.dat
iy_7085
pppi60
pppy60
gdp85
gi/y
iy_6085
gr6085
gi/i
soc
stteapr
latin
lit60
prim60
gr7085
prim85
gpop6080
africa
gc/y
mixed
rev
fert
Variables =
prim70
sec70
File = Barro7.dat
Variables = pop60
pop85
File = Barro8.dat
Variables = gdp60
prim50
File = Barro9.dat
Variables = ko2 k2
pop70
assass
gov
hsgov
gdp70
gde
geetot
gtran
sec50
black
infl
tvalx2
The following transformations must be made to get the population
variables
(geometric means, as in the Barro empirical paper):
pop_6085 = sqrt(pop60(t)*pop85(t))
pop_7085 = sqrt(pop70(t)*pop85(t))
The following transformation creates the private investment dummy:
ipriv_y = iy_7085(t)-gi/y(t)
VARIABLE DESCRIPTIONS for the files: Barro1.Dat - Barro8.Dat
AFRICA
:
Dummy for Sub-Sahara Africa
ASSASS
year
:
Number of assassinations per million population per
(1960-1985 or sub sample)
BIGSMPL
:
Dummy for the 98 country sample;
1 = included in the 98 country sample, missing
:
Total fertility rate, average
o'wise.
FERT
1965
of yearly rates for
and 1985
FERTNET
:
FERTAV*(1-MORTAV)
GC/Y
net of
:
Ratio of real government "consumption" expenditure
spending on defense and on education to real GDP.
(=HSGOV-GDE-GEETOT; see below)
GDE
of
:
Average
from
1970
to
1985
of
the
ratio
nominal government expenditure on defense to nominal
GDP.
GDPxx
:
GDP per capita in real terms; xx is the year
GEETOT
of
:
Average
from
1970
to
1985
of
the
ratio
nominal government expenditure on education to
nominal
GDP.
GI/I
public
:
Average from 1970 to 1985 of the ratio
of
real
domestic investment to real domestic investment
(private
plus public).(GII=GGCFD/HSINV)
GOV
expenditure
:
Ratio
of
real
to real GDP.
government
"consumption"
Average from 1960 to 1985)
GPOPxxyy
:
Growth rate of population from 19xx to 19yy
GRxxyy
:
Growth rate of per capita GDP
GTRAN
nominal
:
Nominal Government Transfer Payments as ratio to
GDP (Average 1970 to 1985)
HSGOV
expenditure
:
Ratio
of
real
government
"consumption"
to real GDP. (Average from 1970 to 1985).
IY_7085
of
:
Average
from
1970
to
1985
of
the
ratio
real domestic investment (private plus public) to
real
GDP
IY_6085
of
:
Average
from
1970
to
1985
of
the
ratio
real domestic investment (private plus public) to
real
GDP
LATIN
:
Dummy variable for Latin America
LIT60
:
Adult literacy rate in 1960.
MIXED
:
Dummy variable for
enterprise/socialistic
economic system
MORT04
1965
:
Mortality rate for
mixed
ages
0
free
through
4.Average
of
and 1985.
POPxx
:
Population in
millions for year xx.
PPI60DEV
mean
:
Magnitude of the deviation of PPI60 from the sample
PPPI60
1.0)
:
1960 PPP value for the investment deflator (U.S.=
PPPY60
:
1960 PPP value for the GDP deflator (U.S.= 1.0)
PRIMxx
as
:
Enrollment ratio for
primary
education.Constructed
ratio of total students enrolled in primary
education to
estimated number of individuals in the age bracket
6-11
years.
REV
or
:
Number
of
revolutions
per
year
(1960
to
1985
subperiod).
SECxx
:
Enrollment ratio for secondary
education.Constructed as
ratio of total students enrolled in secondary
education
to estimated number of individuals in the age
bracket
12-17 years.
SMALLSMP
:
Dummy variable for the 76 country sample.
1 = included in the 76 country sample, missing
:
Dummy variable for socialist economic system.
o'wise.
SOC
STTEAPR
:
Student teacher ratio in primary schools 1960.
STTEASE
:
Student teacher ratio in secondary schools 1960.
VARIABLE DESCRIPTIONS for the file: Barro9.DAT:
KO2 : Capital stock constructed by the perpetual inventory method.
K2 : KO2 adjusted by capacity utilization; = KO2*Capacity utilization
rate.
BLACK : Black market foreign exchange premia (Blk mkt rate official)/official.
INFL : Inflation rate.
TVALX2 : Share of imports and exports of goods and non-factor services in
GDP
COUNTRY CODES-- countries in the data are in this order.
+ : Country included
© : Country excluded
#
FULL SAMPLE
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
ALGERIA
ANGOLA
BENIN
BOTSWANA
BURUNDI
CAMEROON
CAR
CHAD
CONGO
EGYPT
ETHOPIA
GABON
GAMBIA
GHANA
GUINEA
IVORY COAST
KENYA
LESOTHO
LIBERIA
MADAGASCAR
MALAWI
MALI
MAURITANIA
MAURITIUS
MOROCCO
MOZAMBIQUE
NIGER
NIGERIA
RWANDA
SENEGAL
SIERRA LEONE
SOMALIA
SOUTH AFRICA
SUDAN
SWAZILAND
TANZANIA
TOGO
TUNESIA
UGANDA
ZAIRE
ZAMBIA
ZIMBABWE
BANGLADESH
BURMA
HONGKONG
INDIA
IRAN
98 COUNTRIES
+
©
©
+
+
+
+
©
©
+
+
+
©
+
©
+
+
©
+
+
+
©
©
+
+
©
©
+
+
+
+
©
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
76 COUNTRIES
©
©
©
+
©
+
©
©
©
+
©
©
©
+
©
©
+
©
+
©
+
©
©
+
+
©
©
©
©
+
+
©
+
©
+
©
©
+
+
+
+
©
©
+
©
+
+
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
IRAQ
ISRAEL
JAPAN
JORDAN
KOREA
KUWAIT
MALAYSIA
NEPAL
PAKISTAN
PHILLIPINES
SAUDI ARABIA
SINGAPORE
SRI LANKA
SYRIA
TAIWAN
THAILAND
AUSTRIA
BELGIUM
CYPRUS
DENMARK
FINLAND
FRANCE
GERMANY
GREECE
ICELAND
IRELAND
ITALY
LUXEMBOURG
MALTA
NETHERLANDS
NORWAY
PORTUGAL
SPAIN
SWEDEN
SWITZERLAND
TURKEY
UNITED KINGDOM
BARBADOS
CANADA
COSTA RICA
DOMINICAN REPUBLIC
EL SALVADOR
GUATEMALA
HAITI
HONDURAS
JAMAICA
MEXICO
NICARAGUA
PANAMA
TRINIDAD AND TOBAGO
UNITED STATES
ARGENTINA
BOLIVIA
BRAZIL
©
+
+
+
+
©
+
+
+
+
©
+
+
©
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
©
+
+
+
+
©
+
©
+
+
©
+
+
©
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
©
+
+
+
+
+
+
+
+
+
+
+
©
©
©
+
+
+
©
+
+
+
+
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
CHILE
COLOMBIA
ECUDAOR
GUYANA
PARAGUAY
PERU
SURINAM
URUGUAY
VENEZUELA
AUSTRALIA
FIJI
NEW ZEALAND
PAPUA NEW GUINEA
BURKIN0 FASO
OMAN
YEMEN
INDONESIA
+
+
+
+
+
+
©
+
+
+
+
+
+
©
©
©
+
+
+
+
+
+
+
©
+
+
+
+
+
+
©
©
©
©