NLSY97

• Respondent Migration Variables
• Migration Distance Variables
• Parent Distance Variables

Respondent Migration Variables

In addition to current address, each NLSY97 interview since round 2 has collected some information about moves between interviews. Respondents are asked to report any moves to a new city, state or county (but not local moves).

During the interview, respondents report the name and location of each college they have attended. Information from the Integrated Postsecondary Education Data System (IPEDS) is then merged with the name and address of the youth's college to provide users with a code identifying the school (GEO69) and its location (GEO70). 

The NLSY97 geocode restricated access data file contains detailed information on the geographic residence of each NLSY97 respondent. (Information on access to the file is detailed below.) These data permit researchers to analyze the influences that a respondent's area of residence or type of environment may have on outcomes such as education and employment.

To complement data on respondents' educational experiences collected during the yearly interviews, NLSY97 staff collected transcripts directly from respondents' high schools once the youths graduated or left school. Once the transcripts were received from the schools, survey staff coded the transcript record into a standard format. The resulting created variables comprise a history of the respondent's terms in school, courses taken, and other academic indicators.

• Administration and Scoring of the CAT-ASVAB
• CAT-ASVAB Data in the NLSY97 Dataset
• References

 Administration and Scoring of the CAT-ASVAB

This appendix, which describes a number of variables created by Child Trends. Inc., is provided as a separate PDF file: Appendix 9. The variables discussed in the Appendix are as follows:

• Introduction
• Continuous Month and Week Crosswalk

The NLSY97 survey records significant life-course transitions experienced by young people in a longitudinal format. The event history arrays document these events in a chronological format that records the significant transitions in a meaningful manner while maintaining data quality. Using these arrays, researchers can extract the status of a respondent at a point in time or over time.