This page is a depository for data developed through research at the
Center for International Development at Harvard University
(CID). Often the data are associated with a research paper and, thus,
the paper is also available for downloading.
CID is in the process of migrating its datasets into a new dataverse network hosted by the The Institute for Quantitative Social Science at Harvard University (IQSS). To view CID's dataset there, click the following link: http://dvn.iq.harvard.edu/dvn/dv/cid
PDF files require the Adobe Acrobat Reader. If you don't already have it, you can download
Adobe Acrobat for free.
ADDITIONS TO OUR DATASETS: Hausmann et al,
"Growth Accelerations", version October 2004; Larsen et al,
A Cross-Country Database for Sector
Investment and Capital;
Oster, DHS data
extractors for Stata.
- DHS data extractors for Stata
(Emily Oster). This package contains two files designed to help read
individual level DHS data into Stata. The first file addresses the problem that
versions of Stata before Version 7/SE will read in only up to 2047 variables and
most of the individual files have more variables than that. The file will read
in the .do, .dct and .dat file and output new .do and .dct files with only a
subset of the variables specified by the user. The second file deals with
earlier DHS surveys in which .do and .dct file do not exist and only .sps and .sas
files are provided. The file will read in the .sas and .sps files and output a .dct
and .do file. If necessary the first file can then be run again to select a
subset of variables.
- Gallup, John L. and Jeffrey D. Sachs, with Andrew Mellinger,
and Economic Development" (CID Working Paper
- GEOGRAPHY DATA SETS
- GEOGRAPHICAL INFORMATION SYSTEMS (GIS) DATA SETS
- Hausmann, Ricardo, Lant Pritchett
and Dani Rodrik, "Growth
Accelerations," version October 2004. This
is a Stata dataset.
- Highly Indebted Poor Countries (HIPC) Debt Database
Butzer, Yair Mundlak, and Al Crego. 2000. "A Cross-Country Database
for Sector Investment and Capital." The World
Bank Economic Review. 14:2, 371-91.
The authors present a new database of investment and capital
for the agricultural and manufacturing sectors and for
the general economies of 62 developed and developing
countries for the years 1967-1992. A common method is
used in the calculations, which facilitates
comparisons among countries and sectors. For detailed
information on data sources on investment and the
method used to convert the investment series to
capital stock series, see
World Bank Policy Research Working Paper No. 2013.
- McCleary, Rachel M., "McCleary PVO Data Set"
(2008). The data set includes information on 1689 U.S.-based private voluntary organizations (PVOs) that registered with the U.S. federal government sometime between 1939 and 2005. The label “U.S.-based” means that an agency received 501(c)(3) tax-exempt charitable status with the U.S. Internal Revenue Service (IRS). PVOs are classified by type (secular, religious) at founding as well as by the kind of activity they engage in. The data set contains information on revenue (private, federal, and international) from 1939 to 2005 for all PVOs registered with the U.S. federal government. When the information is available, federal receipts are distinguished by type of program—grants, contracts, freight, food, and property. Dollar values given for in-kind programs, such as freight, surplus food, and excess property, are based on market values estimated by USAID and other governmental agencies. Revenue from international organizations and other governments is a composite of funding from international organizations, such as the United Nations, along with receipts from state & local governments and foreign governments.
- Sachs, Jeffrey D. and Andrew M. Warner,
Resource Abundance and Economic Growth" (PDF, revised
- Sachs, Jeffrey D. and Andrew M. Warner, "Trade
Openness Indicators." A data set of 1s and 0s
which represent whether a country has open trade or not (Microsoft
- Sachs, Jeffrey D. and Andrew M. Warner, "Sources
of Slow Growth in African Economies" (PDF,
- Task Force on Higher Education and Society, "Higher Education in Developing Countries: Peril and Promise"
- Vincent, Jeffrey R., "Latin America Natural Resource Data"
(May 2001). Compiled for the AVINA Foundation study on green
accounting in Latin America, the natural resource data
consist of 21 Excel workbooks which cover the
following countries: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador,
Guyana, Mexico, Paraguay, Peru, Suriname, Uruguay and Venezuela. The data were
compiled for the purpose of calculating resource rents, which in turn were
used to estimate changes in the values of natural resource stocks. They
pertain to three categories of natural resources: fossil fuels, metal ores and roundwood.
Direct site comments or questions to CID's Webmaster.
© 2007 by the President and Fellows of Harvard College.
Last revised 11/01/2007