Representative policymakers? A behavioural experiment with French politicians

Abstract This study leverages an online behavioural experiment to analyse whether politicians' decisions align with citizens' preferences and with citizens' decisions within the same decision environment. We recruited 760 local politicians and 655 non‐politicians in France to participate as policymakers in a taxation‐redistribution game. In the game, two policymakers compete to choose a flat tax rate for a group of citizens selected from the French general population. We manipulate (i) the information provided to policymakers about citizens' preferred tax rates, and (ii) the incentives associated with applying citizens' preferred tax rate. We also measure policymakers' beliefs regarding citizens' preferences. We observe that policymakers react positively to information, but they often deviate from it, which can be mostly explained by their beliefs. Incentivizing responsiveness has no impact on these results. This suggests that politicians trade off their own preferences about the policy outcome with an intrinsic motivation to implement citizens' preferences. Finally, we find that politicians believe that citizens want lower tax rates and are more confident in their beliefs than non‐politicians. Once beliefs are accounted for, we observe minor differences between the two samples. Our findings highlight the importance of politicians' beliefs and non‐financial motivations as determinants of their decisions.

Authors

Institutions

Publication Details

Journal
Economica
Published
2026-03-26
DOI
https://doi.org/10.1111/ecca.70043
Primary Topic
Experimental Behavioral Economics Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Representative policymakers? A behavioural experiment with French politicians

Matthieu Pourieux, Roberto Brunetti
Economica
Experimental Behavioral Economics Studies
article

Representative policymakers? A behavioural experiment with French politicians

Matthieu Pourieux, Roberto Brunetti
article en

Abstract

Abstract This study leverages an online behavioural experiment to analyse whether politicians' decisions align with citizens' preferences and with citizens' decisions within the same decision environment. We recruited 760 local politicians and 655 non‐politicians in France to participate as policymakers in a taxation‐redistribution game. In the game, two policymakers compete to choose a flat tax rate for a group of citizens selected from the French general population. We manipulate (i) the information provided to policymakers about citizens' preferred tax rates, and (ii) the incentives associated with applying citizens' preferred tax rate. We also measure policymakers' beliefs regarding citizens' preferences. We observe that policymakers react positively to information, but they often deviate from it, which can be mostly explained by their beliefs. Incentivizing responsiveness has no impact on these results. This suggests that politicians trade off their own preferences about the policy outcome with an intrinsic motivation to implement citizens' preferences. Finally, we find that politicians believe that citizens want lower tax rates and are more confident in their beliefs than non‐politicians. Once beliefs are accounted for, we observe minor differences between the two samples. Our findings highlight the importance of politicians' beliefs and non‐financial motivations as determinants of their decisions.

Economica
Université Paris-Panthéon-Assas (FR), Université de Rennes (FR)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Experimental Behavioral Economics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.