Evidence map›Paper›PMID 32839305›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Eliciting preferences for truth-telling in a survey of politicians.

Katharina A Janezic, Aina Gallego

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Are dishonest politicians more likely to be reelected? A Bayesian view.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  3. Reply to Verschuere et al.: On prior choice and effect size.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  4. Eliciting preferences for truth-telling in a survey of politicians.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Katharina A JanezicDepartment of Economics and Business, Universitat Pompeu Fabra, 08005 Barcelona, Spain.ORCID 0000-0002-7626-1325
Aina GallegoInstitut Barcelona Estudis Internationals, 08005 Barcelona, Spain; agallego@ibei.org.ORCID 0000-0001-7943-3500
Institut Barcelona d'Estudis Internacionals · ESUniversitat Pompeu Fabra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honesty is one of the most valued traits in politicians. Yet, because lies often remain undiscovered, it is difficult to study if some politicians are more honest than others. This paper examines which individual characteristics are correlated with truth-telling in a controlled setting in a large sample of politicians. We designed and embedded a game that incentivizes lying with a nonmonetary method in a survey answered by 816 Spanish mayors. Mayors were first asked how interested they were in obtaining a detailed report about the survey results, and at the end of the survey, they had to flip a coin to find out whether they would be sent the report. Because the probability of heads is known, we can estimate the proportion of mayors who lied to obtain the report. We find that a large and statistically significant proportion of mayors lied. Mayors that are members of the two major political parties lied significantly more. We further find that women and men were equally likely to lie. Finally, we find a negative relationship between truth-telling and reelection in the next municipal elections, which suggests that dishonesty might help politicians survive in office.

Indexed as

Truth DisclosureDeceptionFemaleGovernment EmployeesHumansMaleSpainbehavioral gamesgenderhonestypolitical elites

Identifiers

PMID32839305
PMCPMC7486742
OpenAlexW3081335746

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.