Data on net financial assets and 401(k) eligibility.
data('pension')A data.frame with 9915 observations and 44 variables, among them:
net_tfa: net total financial assets
e401: =1 if employer offers 401(k)
p401: =1 if individual participates in a 401(k) plan
age: age
inc: income
fsize: family size
educ: years of education
db: =1 if individual has defined benefit pension
marr: =1 if married
twoearn: =1 if two-earner household
pira: =1 if individual participates in IRA plan
hown: =1 if home owner
data('pension')
head(pension)
#> ira a401 hval hmort hequity nifa net_nifa tfa net_tfa tfa_he tw age
#> 1 0 0 69000 60150 8850 100 -3300 100 -3300 5550 53550 31
#> 2 0 0 78000 20000 58000 61010 61010 61010 61010 119010 124635 52
#> 3 1800 0 200000 15900 184100 7549 7049 9349 8849 192949 192949 50
#> 4 0 0 0 0 0 2487 -6013 2487 -6013 -6013 -513 28
#> 5 0 0 300000 90000 210000 10625 -2375 10625 -2375 207625 212087 42
#> 6 0 0 120000 99600 20400 9000 -11000 9000 -11000 9400 24400 49
#> inc fsize educ db marr male twoearn dum91 e401 p401 pira nohs hs smcol col
#> 1 28146 5 12 0 1 0 0 1 0 0 0 0 1 0 0
#> 2 32634 5 16 0 0 0 0 1 0 0 0 0 0 0 1
#> 3 52206 3 11 0 1 1 1 1 0 0 1 1 0 0 0
#> 4 45252 4 15 0 1 0 1 1 0 0 0 0 0 1 0
#> 5 33126 3 12 1 0 0 0 1 0 0 0 0 1 0 0
#> 6 76860 6 15 1 1 0 1 1 0 0 0 0 0 1 0
#> icat ecat zhat net_n401 hown i1 i2 i3 i4 i5 i6 i7 a1 a2 a3 a4 a5
#> 1 3 2 0.2731780 -3300 1 0 0 1 0 0 0 0 0 1 0 0 0
#> 2 4 4 0.3866406 61010 1 0 0 0 1 0 0 0 0 0 0 1 0
#> 3 6 1 0.5336504 8849 1 0 0 0 0 0 1 0 0 0 0 1 0
#> 4 5 3 0.3243191 -6013 0 0 0 0 0 1 0 0 1 0 0 0 0
#> 5 4 2 0.6028074 -2375 1 0 0 0 1 0 0 0 0 0 1 0 0
#> 6 7 3 0.6849159 -11000 1 0 0 0 0 0 0 1 0 0 0 1 0