Quicksand or Bedrock for Behavioral Economics: Assessing Foundational Empirical Questions

Working Paper: NBER ID: w23625

Authors: Victor Stango; Joanne Yoong; Jonathan Zinman

Abstract: Behavioral economics lacks empirical evidence on some foundational empirical questions. We adapt standard elicitation methods to measure multiple behavioral factors per person in a representative U.S. sample, along with financial condition, cognitive skills, financial literacy, classical preferences and demographics. Individually, B-factors are prevalent, distinct from other decision inputs, and correlate negatively with financial outcomes in richly-conditioned regressions. Conditioning further on other B-factors does not change the results, validating common practice of modeling B-factors separately. Corrections for low task/survey effort modestly strengthen the results. Our findings provide bedrock empirical foundations for behavioral economics, and offer methodological guidance for research designs.

Keywords: Behavioral Economics; Financial Decision-Making; Empirical Evidence

JEL Codes: D03; D14; D6; D8; D9; E03; G02


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
behavioral factors (D91)financial outcomes (G39)
cross-sectional heterogeneity in behavioral factors (D91)financial condition (G32)
behavioral factors are distinct from classical factors (D91)financial outcomes (G39)
behavioral factors influence financial outcomes independently (G41)financial outcomes (G39)

Back to index