Description Usage Details References See Also Examples
Data on speculative currency attacks and devaluation decisions for 90 countries from 1985 to 1998.
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The dataset is taken from Leblang (2003). The unit of observation is the country-month, and the variables are:
outcomeWhether the country faced no speculative attack, defended its currency against an attack, or devalued in response to an attack in the given month
preelecIndicator for being in the three months prior to an election
postelecIndicator for being in the three months following an election
rightgovIndicator for a right-wing party being in power
unifgovIndicator for unified government: in presidential systems, the same party controlling the presidency and the lower house of the legislature; in parliamentary systems, one party/coalition having a majority of seats
lreservesLogged ratio of currency reserves to base money in the previous month
realinterestDomestic real interest rate in the previous month
lexportsLogged ratio of exports to GDP in the previous month
capcontIndicator for capital controls in the previous year
overvalOvervaluation of the real exchange rate
creditgrowDomestic credit growth in the previous month
serviceExternal debt service (as percentage of exports) paid in previous month
USinterestU.S. domestic interest rates in the previous month
contagionNumber of other countries experiencing speculative attacks in the same month
priorattNumber of prior speculative attacks experienced by the country
nationCountry name
monthMonth of observation
yearYear of observation
All of the non-binary variables other than nation, month,
and year are standardized to have mean 0 and unit variance.
We are grateful to David Leblang for allowing us to redistribute his data. The original replication file is available in Stata format at https://sites.google.com/site/davidaleblang/data-1 (as of 2015-02-22).
David Leblang. 2003. "To Defend or Devalue: The Political Economy of Exchange Rate Policy." International Studies Quarterly 47: 533–559.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## Replicate analysis in Leblang (2003)
data("leblang2003")
## NOTE: Convergence tolerance is set to 1e-4 to reduce testing runtime on
## CRAN; do not reduce tolerance in real applications!
m1 <- egame12(outcome ~
capcont + lreserves + overval + creditgrow + USinterest + service
+ contagion + prioratt - 1 |
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unifgov + lexports + preelec + postelec + rightgov + realinterest
+ capcont + lreserves,
data = leblang2003,
link = "probit",
type = "private",
reltol = 1e-4)
summary(m1)
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