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Time Use and Population Representation in the Sloan Study of Adolescents

Author

Listed:
  • Casey B. Mulligan
  • Barbara Schneider
  • Rurtin Wolfe

Abstract

Do studies of time use interfere too much in the lives of the subjects? As a result are those who agree to participate a biased sample of the population? We examine the characteristics of the Experience Sampling Method (ESM) adolescent sample from the Alfred P. Sloan Study of Youth and Social Development in order to detect and quantify instances of sampling and nonresponse bias. According to available proxies for time use and standard demographic variables, the Sloan ESM sample is nearly representative in terms of teen employment rates, parental employment rates, a student's grade point average, and TV watching. Work hours are slightly undercounted in the study because of slightly higher nonresponse rates by teenagers working long hours. The sample is less representative in terms of the time of week and gender; nonresponse is relatively common on school nights and (to a lesser extent) on weekends, and among boys. We offer some suggestions regarding general implications of our findings for the measurement of time use.

Suggested Citation

  • Casey B. Mulligan & Barbara Schneider & Rurtin Wolfe, 2000. "Time Use and Population Representation in the Sloan Study of Adolescents," NBER Technical Working Papers 0265, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberte:0265
    Note: TWP
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    Cited by:

    1. Meng, C.M. & Heijke, J.A.M., 2005. "Student time allocation, the learning environment and the acquisition of competencies," ROA Research Memorandum 1E, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    2. Baxter, Ryan J. & Hunton, James E., 2011. "Capturing affect via the experience sampling method: Prospects for accounting information systems researchers," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 90-98.
    3. Dolton, Peter & Marcenaro, Oscar D. & Navarro, Lucia, 2003. "The effective use of student time: a stochastic frontier production function case study," Economics of Education Review, Elsevier, vol. 22(6), pages 547-560, December.
    4. Juan Carlos Trujillo Lora & Wilman Iglesias Pinedo, 2015. "Sueno y asignación de tiempo entre los estudiantes universitarios: el caso de la Universidad del Atlántico," Revista Semestre Económico, Universidad de Medellín, vol. 13(27), pages 99-116, September.
    5. Jiménez Martín, Juan Ángel, 2006. "Can Equilibrium Models Replicate the Stochastic Properties of the Exchange Rates?/¿Se pueden replicar las propiedades estocásticas del tipo de cambio con un modelo de Equilibrio?," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 24, pages 361-395, Abril.
    6. Meng,Christoph & Heijke,Hans, 2005. "Student time allocation, the learning environment and the acquisition of competencies," ROA Research Memorandum 001, Maastricht University, Research Centre for Education and the Labour Market (ROA).

    More about this item

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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