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
All interaction terms are from centered component variables
For c variable, pre-1973 values are set 1973 value if missing
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.
gdpppp95 data for Bosnia/Herzegovina; Bhutan; Brunei; */
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
Interstate, CIVIL and extrastate wars, by nation year, when multiple wars then only consider largest (by deaths)
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.
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.
this file was complete as of 30 Sep 1998 17:15 . contact amar for the latest version.
this file was updated 29 Oct 1998 09:21 . contact amar to see if it's the latest version.
europe omitted because of collinearity
This file contains data from the 2012 update of the Worldwide Governance Indicators.  The WGI report data on six dimensions of governance for over 200 countries over the period 1996-2011: Voice and Accountability (VA), Political stability and Absence of Violence (PV), Government Effectiveness (GE), Regulatory Quality (RQ), Rule of Law (RL), and Control of Corruption (CC).
Full documentation of the WGI data is available at www.govindicators.org.
For questions about the data please contact Aart Kraay, akraay@worldbank.org.
Variables in this file are labelled as follows:
Variable XX_EST contains the estimate of governance, for XX={VA, PV, GE, RQ, RL, CC}.  The estimates range from approximately -2.5 (weak) to 2.5 (strong) governance performance).
Variable XX_STD contains the standard error of the governance estimate, for XX={VA, PV, GE, RQ, RL, CC}.  There is a 90 percent probability that the unobserved true level of governance lies within 1.64 standard errors of the point estimate.
Variable XX_NSRC contains the number of underlying data sources on which the governance estimate is based, for XX={VA, PV, GE, RQ, RL, CC}.
Variable XX_PRANK contains the country's percentile rank on indicator XX={VA, PV, GE, RQ, RL, CC}, for the indicated year, ranging from 0 (lowest) to 100 (highest) rank.  Percentile ranks have been adjusted to account for changes in the composition of the country sample covered by the WGI over time.
Variable XX_PRANKLOWER contains the lower bound of the 90% confidence interval for governance in percentile rank terms, for indicator XX={VA, PV, GE, RQ, RL, CC}.
Variable XX_PRANKUPPER contains the upper bound of the 90% confidence interval for governance in percentile rank terms, for indicator XX={VA, PV, GE, RQ, RL, CC}.
Disclaimer:  The WGI are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources.
"Bunnies aren't just cute like everybody supposes."
31 Oct 2001 11:13 This dataset is based on Selins data on ICRG variables. There are individual observations for various countries for various years and a time average for each country.
This dataset icrginitialandavg contains the initial icrg values available for each country and the average value that can be calculated for each country.