StrikeDuration | R Documentation |

## 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.

- duration
strike duration in days.

- 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.

`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).

https://pages.stern.nyu.edu/~wgreene/Text/tables/tablelist5.htm

### References

Greene, W.H. (2003). *Econometric Analysis*, 5th edition. Upper Saddle River, NJ: Prentice Hall.

Kennan, J. (1985). The Duration of Contract Strikes in US Manufacturing.
*Journal of Econometrics*, **28**, 5–28.

### See Also

`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)
```