wages(rrcov)
wages()所属R语言包:rrcov
Wages and Hours
工资和工作时间
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The data are from a national sample of 6000 households with a male head earning less than USD 15,000 annually in 1966. The data were clasified into 39 demographic groups for analysis. The study was undertaken in the context of proposals for a guaranteed annual wage (negative income tax). At issue was the response of labor supply (average hours) to increasing hourly wages. The study was undertaken to estimate this response from available data.
一个男户主收入低于15,000美元,每年在1966年的数据是从全国抽样6000户。的的数据进行clasified为39的人口群体进行分析。的背景下,为保证年度工资(负所得税)的建议进行研究。目前的问题是劳动力供给(平均小时)每小时工资增加的反应。这项研究是从现有的数据,以评估这种反应。
用法----------Usage----------
data(wages)
格式----------Format----------
A data frame with 39 observations on the following 10 variables:
一个数据框到39以下10个变量:
HRS Average hours worked during the year
HRS平均工作时间在一年
RATE Average hourly wage (USD)
RATE平均每小时工资(USD)
ERSP Average yearly earnings of spouse (USD)
ERSP的年平均收入的配偶(USD)
ERNO Average yearly earnings of other family members (USD)
ERNO其他家庭成员每年平均收入(USD)
NEIN Average yearly non-earned income
NEIN平均每年非赚来的收入
ASSET Average family asset holdings (Bank account, etc.) (USD)
ASSET一般家庭持有的资产(银行帐户等)(USD)
AGE Average age of respondent
AGE的受访者的平均年龄
DEP Average number of dependents
DEP平均眷口数
RACE Percent of white respondents
RACE白色的受访者百分比
SCHOOL Average highest grade of school completed
SCHOOL平均最高档次的学校完成
源----------Source----------
DASL library http://lib.stat.cmu.edu/DASL/Datafiles/wagesdat.html
DASL库http://lib.stat.cmu.edu/DASL/Datafiles/wagesdat.html
参考文献----------References----------
实例----------Examples----------
data(wages)
names(wages)
x <- as.matrix(wages)
ok <- is.finite(x %*% rep(1, ncol(x)))
wages <- wages[ok, , drop = FALSE]
wages.lm <- lm(HRS~AGE, data=wages)
plot(HRS ~ AGE, data = wages)
abline(wages.lm)
class(wages.lm)
names(wages.lm)
summary(wages.lm)
wages.mm <- lmrob(HRS~AGE, data=wages)
plot(HRS ~ AGE, data = wages)
abline(wages.mm)
class(wages.mm)
names(wages.mm)
summary(wages.mm)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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