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Would I lie to you? �Project Selection with Biased Advice

Miguel Martinez-Carrasco Univ. de Los Andes

Eric Schmidbauer U. Central FL

John Hamman FSU

ESA, Bogotá, June 2024

We are grateful to IFREE for funding

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Our research question

How will competition among biased advisors affect the quality of a chosen project when the principal faces information and resource constraints?

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A (stylized) motivating example

  • CEO of multidivisional firm with limited resources seeks to invest in a project
  • Division heads report profitability of their best project
  • CEO wants best project, but division heads want their project accepted
  • New projects available in future if none accepted now

See also: lobbyist pushing preferred agenda; construction firms bidding on project; agent seeking contract for client (sportsball!)

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Conflict

  • Agent and Principal prefer high quality projects
  • Agent prefers own project, independent of quality

  • If facing competition: when might an agent truthfully report her project quality?
    • Contracting on outcome
    • Reputation
    • What if we get rid of these?

Endogenous lying cost

  • Inducing acceptance now consumes resources
  • Pre-empts better opportunities in future

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Will agents truthfully report?

Stark modeling assumptions

  • Self-interested agents
  • No explicit cost of lying
  • No ability to contract on outcome
  • No role for reputation

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Model

  • There is a principal and “n” advisors

  • Each advisor receives a project via iid draw 𝜃 (private information)
    • Two states: 0 ≤ l < h with Pr(l)=r.

  • Agents simultaneously report “Low” or “High” (cheap talk)

  • Principal picks one project to adopt, ending the game, or rejects all and the stage game repeats with iid draws.

  • Stage game payoffs
    • Payoff of advisor i = θi if adopted, 0 otherwise.
    • Payoff of principal = θ of adopted project, 0 if none is adopted

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Example with 2 advisors

  •  

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Proposition 1

  •  

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Equilibrium selection

  • With two states, there are 2 qualitatively different equilibria.
    1. L-advisor induces rejection, H-advisor induces acceptance (truth-telling).
    2. L- and H-advisor induce acceptance (babbling).

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Experimental design

  • Groups of three or four, with make-up {P, A1 , A2, A3 }.
  • Each Ai privately sees the randomly assigned project value, l with probability r or h with probability 1 − r.
  • Each Ai sends the message “High” or “Low”.
  • P sees the messages and decides to accept one or none.
  • If none is accepted go back to step #2, with i.i.d draws.
    • Private known histories displayed.

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Experimental design

  • We conducted all sessions in the xs/fs laboratory at Florida State University.
  • Each session involves between 18 and 24 subjects
  • 45 minutes sessions.
  • Earnings: 15 dollars per subject on average.

  • Elicitation of beliefs on truthful reporting when agents received a low-quality project.
  • Questionnaire on demographics.
  • Eckel-Grossman risk aversion test.

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  • 18 to 24 subjects per session, with 297 participants total

Experiment 1

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Results: Experiment 1

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Experiment 2

  • Ten games of repeated play with random anonymous rematching.

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Results: Experiment 2

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Results: Experiment 2 –Number of bad projects accepted

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Exp 1 (one-shot)

  • Truthful reporting increases in r
  • Decreases in l
  • Decreases in n, weakly
  • Participants hold surprisingly (to me) accurate beliefs

Exp 2 (repeated)

  • Truthful reporting increases in r
  • Decreases in l, weakly
  • Decreases in n
  • Participant beliefs become more pessimistic over time
  • Truthful reporting gradually declines over time

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The role of beliefs

 

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Results: Beliefs

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Results: Beliefs

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Conclusions

  • In project selection environment, biased agents may recommend rejection of their own project even without reputational concerns.
  • Honesty requires
    • high continuation value
    • reduced-competition setting
    • Stark contrast in outcome payoffs

  • Implications for organizations:
    • Organizational structure can be engineered to effectively promote honesty even by biased agents
    • Managers slightly, but routinely, underestimate truthful reporting.
    • The promotion of honesty is not always beneficial for the organization.

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Conclusions

  • When experts compete to have their favored projects adopted,
    • advisors may recommend rejection of their own project in a dynamic setting
    • but this requires a high continuation value.

  • In most cases we find evidence consistent with the theoretical predictions.

  • Truth-telling, and beliefs about truth-telling, fall over time.

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Research Arc: Honesty in Organizations

  • Implications for organizations:
    • Managers slightly, but routinely, underestimate truthful reporting.
    • Organizational structure can be engineered to effectively promote honesty even by biased agents
    • The promotion of honesty is not always beneficial for the organization.