__SPSS Code for Part A.__

*/* sort two data sets by mother id, and then merge*

*/* data files are "free" or "space-delimited" format*

**data list file=' _your filename and location for NLSY79 data here_' list/**

** R0000100 **

** R0216500 **

** R0406510 **

** R0619010 **

** R0898310 **

** R0898840 **

** R1145110 **

** R1146832 **

** R1520310 **

** R1522039 **

** R1891010 **

** R1892739 **

** R2258110 **

** R2259839 **

** R2445510 **

** R2448039 **

** R2871300 **

** R2877800 **

** R3075000 **

** R3076844 **

** R3401700 **

** R3407900 **

** R3657100 **

** R3659049 **

** R4007600 **

** R4009449 **

** R4418700 **

** R4444900 **

** R5081700 **

** R5087700 **

** R5167000 **

** R5173000 **

** R6479800 **

** R6486600 **

** R7007500 **

** R7014400 **

** R7704800 **

** R7712000 **

** R8497200 **

** R8504500 **

** T0989000 **

** T0996200 **

**execute**

*/* rename NLSY79 id to match name of mother id variable in child dataset*

**compute momid=r0000100**

*/* following "list" command can be deleted to reduce size of *.log file*

**list**

**save outfile="datmom.sav"**

**data list file='_your filename and location for Child/Young Adult data here_' list/**

** C0000100 **

** C0000200 **

** Y0000100 **

** Y0342400 **

** Y0677400 **

** Y0677600 **

** Y0974800 **

** Y1192400 **

** Y1205100 **

** Y1211100 **

** Y1434300 **

** Y1672700 **

** Y1948500 **

**execute**

*/* rename mother id to match name of variable in mom dataset*

**compute momid=c0000200**

*/* following "list" command can be deleted to reduce size of *.log file*

**list**

**save outfile="datkid.sav"**

**get file="datmom.sav"**

**sort cases by momid**

**save outfile="datmom2.sav"**

**get file="datkid.sav"**

**sort cases by momid**

**save outfile="datkid2.sav"**

**match files file="datkid2.sav" /table="datmom2.sav" /by=momid**

*/* following "list" command can be deleted to reduce size of *.log file*

**list**

*/* eliminate NLSY79 respondents with no children in child data set, final data set has 11469 *

*/* observations using data through 2006*

**select if not(sysmis(c0000200))**

*/* rename NLSY79 id to match name of mother id variable in child dataset*

**compute momid = c0000200**

**sort cases by momid**

__SPSS Code for Part B.__

*/* create variables for age and year of last interview for mom*

*/* note that we name these variables to start with an "m" to denote that these are variables for *

*/* the mother*

do if (t0989000 gt 0)

compute magelint = t0989000

compute myrlint = 2006

*/* repeat for all intervening years*

*/* note that we redefine these variables each time "age at interview" is reported to find the age *

*/* at last interview*

…

else if (r0898310 gt 0)

compute magelint = r0898310

compute myrlint = 1982

else

compute magelint = -4

compute myrlint = -4

end if

*/* create variable indicating that mom had a teen birth*

*/* note that we define this variable only for women ages 18 and over*

*/* currently age 18 or over and age at 1st birth is between 0 and 17*

do if (magelint ge 18 and myrlint eq 2006 and t0996200 gt 0 and t0996200 lt 18)

compute mtnbirth=1

*/*currently age 18 or over and age at 1st birth is 18 or greater, so no teen birth*

else if (magelint ge 18 and myrlint eq 2006 and t0996200 ge 18)

compute mtnbirth=0

*/* currently age 18 or over and never gave birth, so no teen birth*

else if (magelint ge 18 and myrlint eq 2006 and t0996200 eq -998)

compute mtnbirth=0

*/* repeat for each year-- this strategy lets us define these variables using data reported at the *

*/* last interview*

…

else if (magelint ge 18 and myrlint eq 1982 and r0898840 gt 0 and r0898840 lt 18)

compute mtnbirth=1

else if (magelint ge 18 and myrlint eq 1982 and r0898840 ge 18)

compute mtnbirth=0

else if (magelint ge 18 and myrlint eq 1982 and r0898840 eq -998)

compute mtnbirth=0

else

compute mtnbirth=-4

end if

*/* using data through 2006*

*/* m_teenbirth (mean = .201, N = 11463)*

*/* m_year_lint (mean =2002, N = 11465)*

*/* m_age_lint (mean =41.4, N = 11465)*

__SAS Code for Part C.__

*/* restrict sample to female young adults, drops 8322 observations using data through 2006*

*/* sample size is now 3147*

select if (y0677400 eq 2)

*/*create variables for age and year of last interview for young adult*

*/*note that we name these variables to start with "y" to denote that these are variables for the *

*/* young adult*

if (y1205100 gt 0) yyrlint = y1205100

do if (yyrlint eq 2006)

compute yagelint = y1948500

*/* repeat for each year--this strategy lets us define these variables using data reported at the last*

*/* interview*

…

else if (yyrlint eq 1994)

compute yagelint = y0342400

end if

*/* create variable indicating that female young adults who are 18 or over had a teen birth*

*/* currently age 18 or over and age at 1st birth is between 0 and 17*

do if (yagelint ge 18 and y1211100 gt 0 and y1211100 lt 18)

compute ytnbirth=1

*/* currently age 18 or over and age at 1st birth is 18 or greater, so no teen birth*

else if (yagelint ge 18 and y1211100 ge 18)

compute ytnbirth=0

*/* currently age 18 or over and never gave birth, so no teen birth*

else if (yagelint ge 18 and y1211100 eq -998)

compute ytnbirth=0

end if

*/* Final Statistics from Program: Data through 2006 survey*

*/* m_teenbirth (mean = .249, N = 3147)*

*/* y_teenbirth (mean = .137, N = 2419)—smaller sample size because only created for those at *

*/* least 18*

*/* y_year_lint (mean = 2006, N = 3147)*

*/* y_age_lint (mean = 21.3, N = 3147)*

*/* m_year_lint (mean = 2005, N = 3147)*

*/* m_age_lint (mean = 44.6, N = 3147)*