Aliya Saperstein

Assistant Professor

Department of Sociology, Stanford University

NLS user since 2007

  • Saperstein, Aliya and Andrew M. Penner. 2012. “Racial Fluidity and Inequality in the United States.” American Journal of Sociology 118(3): 676-727.
  • Penner, Andrew M. and Aliya Saperstein. 2013. “Engendering Racial Perceptions: An Intersectional Analysis of How Social Status Shapes Race.” Gender & Society 27(3): 319-44.
  • Saperstein, Aliya and Andrew M. Penner. 2010. “The Race of a Criminal Record: How Incarceration Colors Racial Perceptions” Social Problems 57: 92-113.
  • Penner, Andrew M. and Aliya Saperstein. 2008. “How Social Status Shapes Race.” Proceedings of the National Academy of Sciences 105(50): 19628-30.
  • Westbrook, Laurel and Aliya Saperstein. Forthcoming. “New Categories Are Not Enough: Rethinking the Measurement of Sex and Gender in Social Surveys.” Gender & Society.
What I learned from NLS data

I have learned to be diligent in reading through the user's guides and technical materials available for all surveys, including NLS data, to get the most out of them. I no longer take summary or calculated variables (like race) for granted but look carefully for the "raw material" so I can decide how to use all the information that was collected to best suit my specific research purposes.

Why I chose NLS data

A fellow Berkeley graduate student first brought my attention to the multiple measures of race in NLSY79, including two different measures of self-identification at different points in time, and annual interviewer classifications from 1979 to 1998. (Thank you, Sarah Z!)