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Finding Microlevel Data for Economists at Princeton University: Education and Labor Contacts Bobray Bordelon, Economics/Finance/Data bordelon@princeton.edu Linda Oppenheim, Industrial Relations Librarian (labor and education) lindao@princeton.edu Todd Hines, Economics/Finance/Data

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contacts
Contacts
  • Bobray Bordelon, Economics/Finance/Data

bordelon@princeton.edu

  • Linda Oppenheim, Industrial Relations Librarian

(labor and education)

lindao@princeton.edu

  • Todd Hines, Economics/Finance/Data

thines@princeton.edu

  • Data & Statistics Consultants

data@princeton.edu

a few definitions
A Few Definitions
  • Summary statistics: Aggregated counts of survey or administrative data. (e.g. Number of persons in an area)
  • Micro-data: Survey or administrative data about an entity. (e.g. person, family, household, establishment)
a few definitions from icpsr
A Few Definitions (from ICPSR)
  • Cross-sectional Study: Data from particular subjects are obtained only once. (Note that questions in a cross-sectional study can apply to previous or later time periods.)
  • Longitudinal (Panel) Study: Same group of individuals (panel) is interviewed at intervals over a period of time.
a few definitions from icpsr5
A Few Definitions (from ICPSR)
  • Panel: A group of individuals who are interviewed more than once over time in a longitudinal survey.
  • Wave: In a panel study, interviewing period during which the entire panel is surveyed and asked the same questions.
cautions using microdata
Cautions Using Microdata
  • 1. Time lag: typically 2+ years from collection to release
  • 2. Sub-national data: very little available and often restricted.
  • 3. Restricted data: not uncommon to wait a year before getting permission or denial to use the data.  Need to show why public use version is not sufficient. Each country has its own rules.
  • 4. Public use versions: Aggregation of some variables
cautions cont d
Cautions (cont’d.)
  • 5. Level of specificity of question
  • 6. Title of survey v. subject of survey
  • 7. Cross-national comparisons: What exists for one country may not exist for another country. Data is generally inconsistent across borders.
identifying finding microdata

Identifying & Finding Microdata

Literature search: Check methodology section of articles, books, working papers, etc.

Literature Databases:

Econlit – economics including labor

ERIC – education

ICPSR Bibliography of Data-related Literature

smith james p immigrants and the labor market journal of labor economics 2006 vol 24 no 2
Smith, James P. “Immigrants and the labor market,” Journal of Labor Economics, 2006, vol. 24, no. 2.
identifying finding microdata18

Identifying & Finding Microdata

Statistical tables

Use the table footnotes, methodology sections, etc. in yearbooks, statistical compilations, etc.

statistical compilations labor

Statistical Compilations: Labor

Statistical Abstract of the United States

Handbook of U.S. Labor Statistics

(electronic 2006, print 2009 in Social Science Reference Center (SSRC) call no. HD8051 .A63)

Year-book of Labour Statistics(ILO)

(Social Science Reference Center (SSRC) call no. HD7801.I6 A36)

Laborsta (ILO): International Labour Office database for over 200 countries or territories regarding labor and consumer prices. 

statistical compilations education
Statistical Compilations: Education
  • Statistical Abstract of the United States
  • Digest of Education Statistics (NCES)
  • Condition of Education(NCES)
  • Education at a Glance (OECD)

(SSRC) LB2846 .E247 (paper version)

  • Education Statistics on the Web
identifying finding microdata26

Identifying & Finding Microdata

DSS web site: Subject categories for data sets.

identifying finding microdata31
Identifying & Finding Microdata

Government statistical agencies:Bureau of Labor Statistics, National Center for Education Statistics, etc.

identifying finding microdata32
Identifying & Finding Microdata

Data archives: Repositories such as ICPSR, UK Data Archive, etc.

ICPSR

  • Search data
  • Variables Database
  • Bibliography of Data-Related Literature
  • Series
identifying finding microdata34
Identifying & Finding Microdata

Princeton University Library Catalog

identifying finding microdata35
Identifying & Finding Microdata
  • Google
    • Be careful about authority
    • Use “microdata” + keyword term
labor microdata
Labor Microdata
  • Survey of Income and Program Participation (SIPP)
  • Panel Study on Income Dynamics (PSID)
  • National Longitudinal Surveys (NLS)
  • Comparison chart
national longitudinal surveys

National Longitudinal Surveys

National Longitudinal Surveys of Young Men and Older Men-- The Young Men's survey, which was discontinued in 1981, includes ~5200 men who were ages 14-24 when first interviewed in 1966. The Older Men's survey, which was discontinued in 1990, includes ~5000 men who were ages 45-59 when first interviewed in 1966.

National Longitudinal Surveys of Young Women and Mature Women (NLSW)—Sample size: The Young Women's survey includes ~ 5000 women who were ages 14-24 when first interviewed in 1968. The Mature Women's survey includes ~5000 women who were ages 30-44 when first interviewed in 1967. Frequency: These surveys are now conducted simultaneously in odd-numbered years.

National Longitudinal Survey of Youth 1979 (NLSY79)-- Survey of men and women born in the years 1957-64; respondents were ages 14-22 when first interviewed in 1979. Frequency: annual, 1979 to 1994; biennial, 1994— present Sample size: 12,686

NLSY79 Children and Young Adults-- Survey of the biological children of women in the NLSY79. Frequency: 11 biennial rounds

National Longitudinal Survey of Youth 1997 (NLSY97)-- Survey of young men and women born in the years 1980-84; respondents were ages 12-17 when first interviewed in 1997. Frequency: 10 annual rounds (1997-2008). Sample size: 9000

education microdata
Education Microdata
  • National Education Longitudinal Study (NELS)
  • Common Core of Data (CCD)
  • Schools and Staffing Survey (SASS)
  • Private School Universe Survey (PSS)
  • Integrated Postsecondary Education Data System (IPEDS)
statistical software supported
Statistical Software Supported
  • Stata
  • MATLAB
  • SPSS
  • SAS
  • Also: Microsoft Excel, Microsoft Access, DBMS/Copy
finally
Finally
  • Remote access

“Connect from off-campus”

  • Citing and bibliographic software