Significant changes made between the October 2006 round 8 event history file release and the September 2007 round 9 file release
1) Dropped case and sampling weight variables - Round 6 and Round 7 All data for case 316 in rounds 2 through 8 have been deleted, as interviewers discovered that the wrong person had been interviewed in those rounds. As a result, the sampling weight variables for those rounds were recomputed.
2) Created college credits variables - Round 2 to Round 8 Two main changes were made to this set of variables to standardize variables across rounds:
An invalid skip (-3) was assigned to rounds in which an answer of don't know (-2) or refuse (-1) was erroneously coded in the Round 2 and the Round 3 surveys.
A correction was made to Round 1 and Round 2 cases in which respondents who were not enrolled in a college program were incorrectly assigned a 0 percentage rather than a valid skip (-4).
The variables and number of cases affected are the following:
3) Created age 20 assets variables - Round 6 to Round 8 Due to small coding errors involving mortgages, education loans, and government loans, variables in rounds 6 through round 8 have been updated. The variables and number of cases affected are the following:
In addition, respondents who rented were wrongly assigned a valid skip rather than a housing value of 0 and a housing type of 6; these values were updated in the round 8 CV_HOUSE_TYPE_20 (4642 cases) and the round 8 CV_HOUSE_VALUE_20 (7173 cases) variables.
4) Created unemployment spells - Round 8 In round 8, CV_UI_SPELLS_YR.96 was incorrectly coded as a 0 for 2940 respondents; this variable was updated to the correct code of a valid skip (-4).
5) Created transcript variables - Round 3 The construction of TRANS_ACAD_CONC and TRANS_ACAD_SPEC were not consistent with the construction of TRANS_VOC_CONC and TRANS_VOC_SPEC. As a result, 802 TRANS_ACAD_CONC cases were recoded to 'yes' because they also met the requirements for one of the vocational categories (specialist or concentrator). In the TRANS_ACAD_SPEC variable, the change reclassifies to 'yes' 475 cases that had been classified as 'no' because they also met the requirements for one of the vocational categories.
6) Created wage, compensation and job length variables - Round 2 though Round 6 The deletion of duplicate job information from the employer supplements led to deletions in the created wage compensation and job length variables. The variables and number of cases affected are the following:
7) Created household size variables - Round 2 though Round 8 In round 3, the household roster used to create the created household size variables was not fully cleaned; as a result a number of updates were made to the round 3 household size variables. In addition, a small programming error that affected all rounds was corrected. The variables and number of cases affected are the following:
8) Created highest degree received variables - Round 2 In the round 2 data, the values for a small number of respondents were reversed in the following variables:
CV_HIGHEST_DEGREE_EVER (34 cases) and the CV_HIGHEST_DEGREE_YEAR (31 cases).
9) Created parent distance variables - Round 8 The prior round's address for deceased parents was mistakenly coded to determine the distance between the parent and the respondent. The affected variables were updated to a valid skip (-4) for the following cases:
10) Created fertility variables - Round 4 to Round 8 New data led to updated information on the children of 4 respondents. The affected variables and respondent ids are the following:
Respondent #2091 in round 4 through round 8: CV_CHILD_DEATH_DATE.01~M, CV_CHILD_DEATH_DATE.01~Y, CV_CHILD_DEATH_MONTH.01, CV_CHILD_STATUS.01, CV_BIO_CHILD_HH, and CV_BIO_CHILD_NR Respondents #2426, #6961, and #8359 in round 6 through round 8: CV_BIO_CHILD_HH and CV_BIO_CHILD_NR
11) Created marriage variables - Round 3 to Round 8 New data led to updated information on the marital and cohabitation status of 39 respondents. The affected variables and respondent ids are the following:
Respondent #7131 in rounds 3 to 8: CV_FIRST_COHAB_DATE~M, CV_FIRST_COHAB_DATE~Y, CV_FIRST_COHAB_MONTH
Respondent #440 in rounds 5 to 8: CV_MARRIAGES_TTL
Respondent #652 in rounds 6 to 8: CV_FIRST_MARRY_DATE~M, CV_FIRST_MARRY_DATE~Y, CV_FIRST_MARRY_MONTH
Respondents #2321, #4894 & #5781 in rounds 6 to 8: CV_FIRST_COHAB_DATE~M, CV_FIRST_COHAB_DATE~Y, CV_FIRST_COHAB_MONTH
Respondent #5462 in rounds 6 and 7: CV_FIRST_COHAB_DATE~M, CV_FIRST_COHAB_DATE~Y, CV_FIRST_COHAB_MONTH
Respondent #3778 in rounds 6 to 8: CV_MARRIAGES_TTL
Respondent #6227 in rounds 6 to 8: CV_FIRST_COHAB_MONTH and in rounds 7 & 8: CV_FIRST_COHAB_MONTH~M/Y
Respondent #4417 in rounds 6 to 8: CV_MARSTAT, CV_MARSTAT_COLLAPSED
Respondent #1001 in round 7: CV_FIRST_COHAB_DATE~M, CV_FIRST_COHAB_DATE~Y, CV_FIRST_COHAB_MONTH
Respondents #1851, #2019, #2360, #7877, #7989 & #8483 in rounds 7 and 8: CV_FIRST_COHAB_DATE~M, CV_FIRST_COHAB_DATE~Y, CV_FIRST_COHAB_MONTH
Respondent # 8969 in rounds 7 and 8: CV_MARSTAT, CV_MARSTAT_COLLAPSED
Respondent #256 in round 8: CV_FIRST_COHAB_DATE~M, CV_FIRST_COHAB_DATE~Y, CV_FIRST_COHAB_MONTH