The Analysis of Survey Data with Framing Effects

29 Pages Posted: 26 Nov 2014 Last revised: 14 Apr 2016

See all articles by Jacob Goldin

Jacob Goldin

Stanford Law School

Daniel Reck

London School of Economics & Political Science (LSE)

Date Written: April 11, 2016

Abstract

A well-known difficulty in survey research is that respondents’ answers to questions can depend on arbitrary features of a survey’s design, such as the wording of questions or the ordering of answers. We develop an empirical framework for analyzing survey data characterized by such framing effects. We show that the conventional approach to analyzing data with framing effects – randomizing across frames and pooling the data for estimation – does not generally identify a useful parameter. We consider a range of alternatives, and describe the conditions under which each yields a parameter of interest. One approach attempts to isolate the answers of respondents that are unaffected by framing. A second approach attempts to recover information on the distribution of “true answers” in the population – when true answers exist – using a technique analogous to post-survey re-weighting for non-response bias.

Keywords: framing, survey methodology, estimation, inference

JEL Classification: C13, C21, C42, C50

Suggested Citation

Goldin, Jacob and Reck, Daniel, The Analysis of Survey Data with Framing Effects (April 11, 2016). Available at SSRN: https://ssrn.com/abstract=2530393 or http://dx.doi.org/10.2139/ssrn.2530393

Jacob Goldin (Contact Author)

Stanford Law School ( email )

559 Nathan Abbott Way
Stanford, CA 94305-8610
United States

Daniel Reck

London School of Economics & Political Science (LSE) ( email )

Houghton Street
London, WC2A 2AE
United Kingdom

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