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\name{StrikeDuration}
\alias{StrikeDuration}
\title{Strike Durations}
\description{
Data on the duration of strikes in US manufacturing industries, 1968--1976.
}
\usage{data("StrikeDuration")}
\format{
A data frame containing 62 observations on 2 variables for the period 1968--1976.
\describe{
\item{duration}{strike duration in days.}
\item{uoutput}{unanticipated output (a measure of unanticipated aggregate
industrial production net of seasonal and trend components).}
}
}
\details{
The original data provided by Kennan (1985) are on a monthly basis, for the period 1968(1) through 1976(12). Greene (2003) only provides the June data for each year. Also, the duration for observation 36 is given as 3 by Greene while Kennan has 2. Here we use Greene's version.
\code{uoutput} is the residual from a regression of the logarithm of industrial production in manufacturing on time, time squared, and monthly dummy variables.
}
\source{
Online complements to Greene (2003).
\url{http://pages.stern.nyu.edu/~wgreene/Text/tables/tablelist5.htm}
}
\references{
Greene, W.H. (2003). \emph{Econometric Analysis}, 5th edition. Upper Saddle River, NJ: Prentice Hall.
Kennan, J. (1985). The Duration of Contract Strikes in US Manufacturing.
\emph{Journal of Econometrics}, \bold{28}, 5--28.
}
\seealso{\code{\link{Greene2003}}}
\examples{
data("StrikeDuration")
library("MASS")
## Greene (2003), Table 22.10
fit_exp <- fitdistr(StrikeDuration$duration, "exponential")
fit_wei <- fitdistr(StrikeDuration$duration, "weibull")
fit_wei$estimate[2]^(-1)
fit_lnorm <- fitdistr(StrikeDuration$duration, "lognormal")
1/fit_lnorm$estimate[2]
exp(-fit_lnorm$estimate[1])
## Weibull and lognormal distribution have
## different parameterizations, see Greene p. 794
## Greene (2003), Example 22.10
library("survival")
fm_wei <- survreg(Surv(duration) ~ uoutput, dist = "weibull", data = StrikeDuration)
summary(fm_wei)
}
\keyword{datasets}
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