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An Economist's Primer on Survey Samples

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  • William J Carrington
  • John L Eltinge
  • Kristin McCue

Abstract

Survey data underlie most empirical work in economics, yet economists typically have little familiarity with survey sample design and its effects on inference. This paper describes how sample designs depart from the simple random sampling model implicit in most econometrics textbooks, points out where the effects of this departure are likely to be greatest, and describes the relationship between design-based estimators developed by survey statisticians and related econometric methods for regression. Its intent is to provide empirical economists with enough background in survey methods to make informed use of design-based estimators. It emphasizes surveys of households (the source of most public-use files), but also considers how surveys of businesses differ. Examples from the National Longitudinal Survey of Youth of 1979 and the Current Population Survey illustrate practical aspects of design-based estimation.

Suggested Citation

  • William J Carrington & John L Eltinge & Kristin McCue, 2000. "An Economist's Primer on Survey Samples," Working Papers 00-15, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:00-15
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    File URL: https://www2.census.gov/ces/wp/2000/CES-WP-00-15.pdf
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    References listed on IDEAS

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    Cited by:

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    2. Evans Jadotte, 2006. "Income Distribution and Poverty in the Republic of Haiti," Working Papers PMMA 2006-13, PEP-PMMA.
    3. Chandran, Ram, 2004. "A Tobit Analysis of WIC Children's Consumption of Pyramid Group Foods," 2004 Annual meeting, August 1-4, Denver, CO 19998, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Jarvis, Justin, 2015. "Individual determinants of homelessness: A descriptive approach," Journal of Housing Economics, Elsevier, vol. 30(C), pages 23-32.

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