Representative evidence on lying costs

By Johannes Abeler, Anke Becker, Armin Falk. 2014

332 citations recorded by the source corpus.

A central assumption in economics is that people misreport their private information if this is to their material benefit. Several recent models depart from this assumption and posit that some people do not lie or at least do not lie maximally. These models invoke many different underlying motives including intrinsic lying costs, altruism, efficiency concerns, or conditional cooperation. To provide an empirically-validated microfoundation for these models, it is crucial to understand the relevance of the different potential motives. We measure the extent of lying costs among a representative sample of the German population by calling them at home. In our setup, participants have a clear monetary incentive to misreport, misreporting cannot be detected, reputational concerns are negligible and altruism, efficiency concerns or conditional cooperation cannot play a role. Yet, we find that aggregate reporting behavior is close to the expected truthful distribution suggesting that lying costs are large and widespread. Further lab experiments show that this result is not driven by the mode of communication.

Subfields: General Decision Sciences, Management Science and Operations Research, Safety Research

View Paper: https://www.semanticscholar.org/paper/7ae93a18c9f1bc4f167c2a399a7377fb67ccfc6e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Decision Sciences

  1. David Pascual-Ezama
  2. Catrine Jacobsen
  3. Toke Reinholt Fosgaard
  4. Collin Raymond
  5. Daniele Nosenzo
  6. N. Wallmeier
  7. Stephan Billinger
  8. Andreas Roider

In Management Science and Operations Research

  1. David Pascual-Ezama
  2. Collin Raymond
  3. Daniele Nosenzo
  4. Catrine Jacobsen
  5. Toke Reinholt Fosgaard
  6. Stefano Puntoni
  7. Florian Zimmermann
  8. Johannes Abeler

In Safety Research

  1. David Pascual-Ezama
  2. Catrine Jacobsen
  3. Toke Reinholt Fosgaard
  4. Collin Raymond
  5. Daniele Nosenzo
  6. N. Wallmeier
  7. Stefano Puntoni
  8. Stephan Billinger

Citations in the corpus