Data sets are provided in two compressed formats:
as a self-extracting exe file and as a zip file. Both files contain the
same information.
eastrebl.exe (317 K)
or eastrebl.zip (294 K)
Data Set Description
The data for the paper is provided as Lotus-1-2-3 (.wk1) and corresponding TSP (.h or .fmt) files. It is organized in three files:
FISCAL.wk1
This is a Lotus
1-2-3 file that has cross-sectional data for 160 countries for the period
1970-88 (occasionally coverage may be 1970-85; where
this is so it
is documented in the variable list below). Tables 1,2,3,4 and 7 in the
paper are based on this data. The country order is provided at
the end of this
document. The variables covered in this file are mostly fiscal policy and
output variables. The variable list is provided at the end of
this document
after the country lists.
Please note that in table 4 of the paper the conditioning variables M2
(ratio of money supply to GDP) and STRD (share of trade in GDP)
refer to their
1960 values.
FISCALD.wk1
This file has pooled cross-section data for the same 160 countries for
each of the three decades: 1960s, 1970s, 1980s. The three
cross-sections
are stacked up in the order 1960s, 1970s, 1980s to give a file that has
480 (= 3 * 160) observations for each series. Tables 5
and 6 in the
paper are based upon this data. There are mostly public investment variables
in this file. The variables are:
ASSP6070
Number of assasinations per year per million people between 1960 and 1970.
Source: Barro and Wolf data-set.
CS6070
Average war casualties per capita between 1960 and 1970
GCON6070
Government consumption as percent of GDP, average for the years 1960-69.
Both series were in constant prices.
IAGRIC6D
Sectoral public investment in agriculture
ICMGGV6
Public investment by general government
ICMPBE6D
Public investment by public enterprises
ICMPUB6D
Total consolidated public investment
IEDUCT6D
Sectoral public investment in education
IHLTH6D
Sectoral public investment in health
IHOUSE6D
Sectoral public investment in housing and urban infrastructure
IINDML6D
Sectoral public investment in industry and mining.
IPRIVT6D
Private investment as a percentage of GDP. Calculated as the difference
between total and public investment.
ITRNCM6D
Sectoral public investment in transport and communications.
LGPC6070
Least squares log growth rate of GDP per capita (Source: World Bank)
M260
Money supply (M2) as a percent of GDP for 1960.
PRIM60
Primary gross enrollment rate for 1960 (Source: World Bank, Social Indicators)
REVC6070
Total number of revolutions and coups per year between1960 and 1970.
SEC60
Secondary gross enrollment rate for 1960
SGDPPC60
Gross domestic product per capita in 1960 (Summers and Heston [1991])
STRD60
Imports plus exports as percent of GDP (Summers and Heston [1988])
Note that the variable names refer to the 1960s value but the series are
for the entire 3-decade period. For example, STRD60 refers to
the share of
trade in GDP for the initial year of each of the three decades. ITRNCM6D
refers to the average public investment in transport and
communication
for each of the three decades. Note that all investment series are expressed
as percentages of GDP.
The source for the public investment series is primarily World Bank Country
Reports, which provide data on sectoral public investment.
These data were
consolidated as part of a comprehensive research project on Economic Growth
managed by Dr. William Easterly and Dr. Ross
Levine of The
World Bank. Additional data sources used were United Nations and the World
Development Report.
Public investment data for Algeria and Somalia, though provided in the
file, was not used in the regressions in tables 5 and 6 because of
the poor quality
of public investment data in these countries.
HIST.wk1
This file has historical data for the 28 OECD and Latin American countries
listed in the appendix table "Summary Statistics on Historical
Data-set" of
the paper. The country list is repeated at the end of this document. Table
8 in the paper is based on this data. The data is organized
as a panel.
Each country has annual observations from 1870 to 1988 (119 years).
The 28 countries,
each with 119 rows of data, are stacked up in the same country order as
in the 28 country list below to give a file with 3,332
(= 119 * 28)
observation cells for each of the 10 variables. The variables in this file
are:
CUSTREV
Share of customs tax revenue in total tax revenue
DATE
Year of observation
GREVGDP
Share of government revenue in GDP
GROWTH
Growth of real per capita GDP
INCTREV
Share of income tax revenue in total tax revenue
LGDPPC
Log of real per capita GDP
LPOP
Log of population
TRDGDP
Share of Exports plus Imports in GDP
WWI
Dummy for World War I years
WWII
Dummy for World War II years
For further details on the sources and construction of these variables please see the paper.