R语言包plm内置的面板数据集
- 1 Cigarette Consumption
- 2 Crime in North Carolina
- 3 Gasoline Consumption
- 4 Grunfeld's Investment Data
- 5 Wages and Hours Worked
- 6 Wages and Education of Young Males
- 7 Purchasing Power Parity and other parity relationships
- 8 US States Production
- 9 Production of Rice in Indonesia
- 10 Employment and Wages in Spain
- 11 The Penn World Table, v. 5
- 12 Panel Data of Individual Wages
(注意:本博客关于数据的描述全部来自于R语言内置帮助文件,仅供自己学习使用)
1 Cigarette Consumption
data(Cigar)
Description
a panel of 46 observations from 1963 to 1992
Format
A data frame containing :
state
state abbreviation
year
the year
price
price per pack of cigarettes
pop
population
pop16
population above the age of 16岁以上人口总数
cpi
consumer price index (1983=100) 消费者价格指数
ndi
per capita disposable income 人均可支配收入
sales
cigarette sales in packs per capita 人均卷烟销售量(包)
pimin
minimum price in adjoining states per pack of cigarettes 相邻州每包香烟的最低价格
Details
total number of observations : 1380
observation : regional
country : United States
Source
Online complements to Baltagi (2001):
https://www.wiley.com/legacy/wileychi/baltagi/
Online complements to Baltagi (2013):
https://bcs.wiley.com/he-bcs/Books?action=resource&bcsId=4338&itemId=1118672321&resourceId=13452
References
Baltagi BH (2001). Econometric Analysis of Panel Data, 3rd edition. John Wiley and Sons ltd.
Baltagi BH (2013). Econometric Analysis of Panel Data, 5th edition. John Wiley and Sons ltd.
Baltagi B, Levin D (1992). “Cigarette taxation: Raising revenues and reducing consumption.” Structural Change and Economic Dynamics, 3(2), 321-335. https://EconPapers.repec.org/RePEc:eee:streco✌️3:y:1992:i:2:p:321-335.
Baltagi BH, Griffin JM, Xiong W (2000). “To Pool or Not to Pool: Homogeneous Versus Heterogeneous Estimators Applied to Cigarette Demand.” The Review of Economics and Statistics, 82(1), 117-126. doi: 10.1162/003465300558551, https://doi.org/10.1162/003465300558551.
2 Crime in North Carolina
data(Crime)
Description
a panel of 90 observational units (counties) from 1981 to 1987
Format
A data frame containing :
county
county identifier
year
year from 1981 to 1987
crmrte
crimes committed per person
prbarr
‘probability’ of arrest
prbconv
‘probability’ of conviction
prbpris
‘probability’ of prison sentence
avgsen
average sentence, days
polpc
police per capita
density
people per square mile
taxpc
tax revenue per capita
region
factor. One of ‘other’, ‘west’ or ‘central’.
smsa
factor. (Also called “urban”.) Does the individual reside in a SMSA (standard metropolitan statistical area)?
pctmin
percentage minority in 1980
wcon
weekly wage in construction
wtuc
weekly wage in transportation, utilities, communications
wtrd
weekly wage in wholesale and retail trade
wfir
weekly wage in finance, insurance and real estate
wser
weekly wage in service industry
wmfg
weekly wage in manufacturing
wfed
weekly wage in federal government
wsta
weekly wage in state government
wloc
weekly wage in local government
mix
offence mix: face-to-face/other
pctymle
percentage of young males (between ages 15 to 24)
lcrmrte
log of crimes committed per person
lprbarr
log of ‘probability’ of arrest
lprbconv
log of ‘probability’ of conviction
lprbpris
log of ‘probability’ of prison sentence
lavgsen
log of average sentence, days
lpolpc
log of police per capita
ldensity
log of people per square mile
ltaxpc
log of tax revenue per capita
lpctmin
log of percentage minority in 1980
lwcon
log of weekly wage in construction
lwtuc
log of weekly wage in transportation, utilities, communications
lwtrd
log of weekly wage in wholesale and retail trade
lwfir
log of weekly wage in finance, insurance and real estate
lwser
log of weekly wage in service industry
lwmfg
log of weekly wage in manufacturing
lwfed
log of weekly wage in federal government
lwsta
log of weekly wage in state government
lwloc
log of weekly wage in local government
lmix
log of offence mix: face-to-face/other
lpctymle
log of percentage of young males