Data: based originally on BdM and Siverson 1995. This data was cleaned up by Goemans. Alastair Smith updated it through 2001 with the research help of Matthew Gross (mainly), Melissa Muscat and Carolyn Zabrycki (Yale undergrads)
Coding is described in Hafner-Burton (2004) - Trading Human Rights.
Data include Political Terror Data from Steven Poe, 1976 to 1993 (Poe and Tate 1994), Mark Gibney, 1980 to 2002, and Emilie M. Hafner-Burton, 1994-2002. I would like to thank both Steven Poe and Mark Gibney for sharing their data.
Data compiled by Emilie M. Hafner-Burton
Archigos is a collaborative effort of Hein Goemans (University of Rochester), Kristian Skrede Gleditsch (University of Essex) and Giacomo Chiozza (University of California, Berkeley). For a detailed description of the data, please refer to the case description document, available at mail.rochester.edu/~hgoemans.
Archigos is a collaborative effort of Hein Goemans (University of Rochester), Kristian Skrede Gleditsch (University of Essex (UK)) and Giacomo Chiozza (University of California, Berkeley). This data set contains time-varying co-variates and is built on Archigos 2.5; this version has yearly records for each leader. The unit of observation is the leader-year, or, in case the leader serves less than a full year, leader-spell-in-one-year.
This data set contains the data necessary to replicate Table 1 in James D. Fearon and David D. Laitin, Ethnicity, Insurgency, and Civil War, _American Political Science Review_ 97, 1 (March, 2003):1-17. A few additional variables are included relevant to claims made in the paper. See Fearon and Laitin, , at http://www.stanford.edu/group/ethnic/ for more information on the data contained here.
JF changed estimates for GDR, which appeared to be mistaken for FRG, 8/6/01.
Falciparum malaria index = % of pop at risk of transmission * (falciparum cases/total malaria cases)
CLUSTER BY YEAR
Alternatives to m2/GDP
POLARIZATION
financial liberalization
PREVIOUS SYSTEM WRONG: included noncompetitive elections
Table 4
TAKE OUT LIEC<7, Reg 1, Table 2
TAKE OUT LIEC<6, Reg 1, Table 2
TAKE OUT LIEC<7, Reg 1, Table 1
TAKE OUT LIEC<5, Reg 1, Table 1
TABLE 3
'TABLE ONE
robustness of table 4 results to log check
robustness of table 3 results to logcheck
Table 1, col. 2 (with gdp/cap)
robustness to ln(checks)
Table 3 forbearance results (checks first), robustness
robustness of Table 4 results (w/, w/o eiecav) to liqliab, pri.cre
Table 1, columns 1 and 2, using liq liabilities and priv.cred
robustness of regressions to private credit and liqu. liabi
sull_new and atl_new in table 3, cols 3 and 4
check table 4 results with sull_new and atl_new (four regs).
Check table 1, col 2 adding atl_new
ABOVE IS TABLE 1, Col 2.
First robustness result: including sull_new in Table 1 column 1
Robustness results
column 2, for eiecav==7
Column 1: for all countries
Table 4, forbearance determinants generally and eiecav==7
delete above, footnote 33 deleted b/c difference with competitive elections not large
footnote 33 to Table 3 (effects of elections in competitive systems)
column 4, availability of trade statistics
column 3, RDTV_NEW and forbearance
column 2, control for gdp/cap
column 1: no control for gdp/cap
Table 3, checks and forbearance
Column 3, terms of trade statistics
Column 2, Table 2, using papr_new
Delete Last Regression
TABLE 2, Incomplete info and fiscal costs
column 3, controlling for terms of trade
column 2, add GDP/capita
Column 1
TABLE 1: CHECKS AND FISCAL COST
LOG FILE FOR RESULTS OF BANK WORKING PAPER
column 4, use trade statistics info variable
column 3, pr(forb) on rdtv_new
column 2, add GDP per capita
Column 1, checks, no gdp
Table 2 regressions
29 Apr 2006 23:22 fixedfactors.dta comes from Easterly's website (Social Indicators and Fixed Factors)
Regression results differ from NBER (2003) because malaria ecology variable (ME) and mal94p variables have been updated
Dataset for Sachs, Jeffrey, Institutions Don't Rule: Direct Effects of Geography on Per Capita Income, NBER February 2003.
Transition Economies are taken from the file Fixed Factors in Global Development Database in worldbank.org
29 Dec 2003 21:33 For further explanation of allpd1500.dta see allpopden1500.xls
Please consult appendix A of the paper Why Countries are Fiscally Decentralizing, Journal of Public Economics, 2004 and the additional documents provided with this data for definition of the variables and exact sources.
The federalism variable is revised for India. 10/4/02
World Bank, World Development Report, New York: Oxford University Press, 1998.
World Bank, World Development Indicators (WDI) on CD-Rom, Washington D.C.: World Bank, 1998.
United Nations, World Urbanization Prospects: The 1996 Revision, United Nations Population Division, Department for Economic and Social Information and Policy Analysis, New York, 1996.
Summers, R., and A. Heston, Penn World Table Mark 5.6 revision of Summers and Heston (1991) online data, Computing in the Humanities and Social Sciences (CHASS), Toronto: University of Toronto, 1995.
Summers, R., and A. Heston, The Penn World Table (Mark 5): An Expanded Set of International Comparisons, 1950-1988, Quarterly Journal of Economics, 106, 327-68, 1991.
International Telecommunication Union (ITU), Telecommunication Statistics, Geneva: International Telecommunication Union, various years.
International Road Federation (IRF), World Road Statistics, Washington D.C.: International Road Federation, various years.
Freedom House, Freedom in the World, New York: Freedom House, various years.
The Concise Columbia Encyclopedia, New York: Columbia University Press, 1995.
Central Intelligence Agency (CIA), World Factbook, Washington D.C.: US Government Printing Office, various years.
Barro, R.J., and J.W.Lee, International Measures of Schooling Years and Schooling Quality online data, World Bank Economic Growth Research Group, Washington D.C.: World Bank, 1996.
Barro, R.J., and J.W.Lee, International Measures of Schooling Years and Schooling Quality, American Economic Review, 86(2), 218-223, 1996.
Barro, R.J., and J.W.Lee, International Comparisons of Educational Attainment, Journal of Monetary Economics, 32, 363-394, 1993.
To see all the documentation, type note on the Stata command line. To see a description of the variables, type desc on the command line. To see only the note for a particular variable, type note varname on the command line, where varname is the name of the variable. To see a list of countries, type list wbcode country if year==90 on the command line.
Fiscal decentralization database is a panel of data on indices of fiscal decentralization every ten years from 1975, 1985, and 1995 for about 100 countries. The main variables, fiscal decentralization indices, are constructed using IMF's GFS database and publications. The data were prepared by Vernon Henderson (Vernon_Henderson@brown.edu) and Mohammd Arzaghi (marzaghi@brown.edu). Please properly cite our paper, Why Countries are Fiscally Decentralizing, in the Journal of Public Economics 2005.
end_dic = 2: country is dem in previous year (no autocracy to end)
end_dic = 1: country is dic in previous, dem in current year (autocracy ends)
end_dic = 0: country is dic in previous AND current year (autocracy does not end)
end_dem = 2: country is dic in previous year (no democracy to end)
end_dem = 1: country is dem in previous, dic in current year (democracy ends)
end_dem = 0: country is dem in previous AND current year (democracy does not end)
All interaction terms are from centered component variables
For c variable, pre-1973 values are set 1973 value if missing
Interstate, CIVIL and extrastate wars, by nation year, when multiple wars then only consider largest (by deaths)
this file was updated 29 Oct 1998 09:21 . contact amar to see if it's the latest version.
this file was complete as of 30 Sep 1998 17:15 . contact amar for the latest version.
updated 6/25/07 with 2006 BP data on oil and gas from Liz
population data are not comparable across the two datasets; hence a weird change from 1959 to 1960, and similarly, in all figures that are calculated on a per capita basis (e.g., oil_gas_rent/valuePOP)
the oil/gas data for 2002-05 does not include small producers; the data are drawn from BP, and they don't report these smaller amounts.
my conflict variables are defined slightly differently from UCDP/PRIO's, so the numbers may look a little different. Their list is by conflict, mine by country-year. For my at_dom_conflict and at_CW variables, for example, the maximum number is one - although sometimes countries have, for example, two CWs going on at once (e.g., India). Also, for them an international war is counted as a single conflict event; for me, since each party is at war, it counts as two or more.
type variable is from v4-2006 UCDP/PRIO for types 1, 3, and 4. Because I couldn't transfer the international conflicts over from the new version - since they didn't have COW codes attached - I instead used the international conflicts (type 2) from the old, prior version of the same dataset.
while all the price and value data are updated to the country-specific numbers, I kept the rent figures unchanged - using the WB prices and before 1970, the BP prices. This is because the new country-specific prices were clearly not comparable with the old WB/BP prices: they sometimes produced negative figures, which I suspect are inaccurate.
This is the dataset used in the following paper: Jeffrey D. Sachs and Andrew Warner, Natural Resource Abundance and Economic Activity, CID, 1997. Later published in Leading Issues in Economic Development, Oxford University Press, 2000.
gdpppp95 data for Bosnia/Herzegovina; Bhutan; Brunei; */
This data set contains the data necessary to replicate Table 1 in James D. Fearon and David D. Laitin, Ethnicity,Insurgency, and Civil War, _American Political Science Review_ 97, 1 (February 2003):75-90. A few additional variables are included relevant to claims made in the paper. See Fearon and Laitin, Additional Tables for Ethnicity, Insurgency, and Civil War, at http://www.stanford.edu/group/ethnic/ for more information on the data contained here.
This data set contains the data necessary to replicate Tables 1-4 in Macartan Humphreys, Natural Resources, Conflict and Conflict Resolution, _Journal of Conflict Resolution_ 49, 4 (August 2005):508-537. Further information on the data is contained in the article. To replicate the results in the article use the accompanying do file MH8JCR05.do
dropped Germany (ccode = 255) for lack of data, added missing cases for Czechoslovakia to match to cyear2 data
wbgdp gives federal republic data for Germany. unclear if Czech data refers to Czechoslovakia or only the Czech part.
Exceptions to averaging deaths over conflict years include Rwanda and Nagorno Karabagh.
Data for Conley, McCord and Sachs, 'Africa's Lagging Demographic Transition: Evidence from Exogenous Impacts of Malaria Ecology and Agricultural Technology' February 2007
This is the replication dataset for "The Oil Curse" by Michael L. Ross (Princeton University Press, 2012).  For definitions & sources of the variables, see the appendices in the book.  The replication data for the cross-sectional regressions in Chapter 4 (Tables 4.7, 4.8, and 4.9) are in a separate file.  See the log file for specific commands.