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Statistical Analysis of Choice Experiments and Surveys

Author

Listed:
  • Daniel McFadden
  • Albert Bemmaor
  • Francis Caro
  • Jeff Dominitz
  • Byung-Hill Jun
  • Arthur Lewbel
  • Rosa Matzkin
  • Francesca Molinari
  • Norbert Schwarz
  • Robert Willis
  • Joachim Winter

Abstract

Measures of households' past behavior, their expectations with respect to future events and contingencies, and their intentions with respect to future behavior are frequently collected using household surveys. These questions are conceptually difficult. Answering them requires elaborate cognitive and social processes, and often respondents report only their “best” guesses and/or estimates, using more or less sophisticated heuristics. A large body of literature in psychology and survey research shows that as a result, responses to such questions may be severely biased. In this paper, (1) we describe some of the problems that are typically encountered, (2) provide some empirical illustrations of these biases, and (3) develop a framework for conceptualizing survey response behavior and for integrating structural models of response behavior into the statistical analysis of the underlying economic behavior. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • Daniel McFadden & Albert Bemmaor & Francis Caro & Jeff Dominitz & Byung-Hill Jun & Arthur Lewbel & Rosa Matzkin & Francesca Molinari & Norbert Schwarz & Robert Willis & Joachim Winter, 2005. "Statistical Analysis of Choice Experiments and Surveys," Marketing Letters, Springer, vol. 16(3), pages 183-196, December.
    • Handle: RePEc:kap:mktlet:v:16:y:2005:i:3:p:183-196
    DOI: 10.1007/s11002-005-5884-2
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