Behavioral Economy
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  Organisation : Noémi Berlin et Olivier Renault
Program

Upcoming seminars

date_range 06 OCTOBER 2026

When Female Doctors Fly In: Access to Female Physicians in Primary Care

Speaker(s)

Martina Repetto (University of Melbourne)

Additional information

Abstract: Policies addressing physician shortages typically target aggregate supply, yet the composition of the local workforce may also determine which health needs get met. I study a program that periodically sends a visiting female general practitioner (GP) to rural Australian towns where all resident physicians are male, comparing each woman's consultations with the visiting GP to her own consultations with local male providers. The same woman is roughly four times as likely to receive genitourinary or hormonal prescriptions when consulting the female GP, against a baseline of 6 percent, and more than ten times as likely to be screened for cervical cancer, against a baseline of 1 percent. Consultations with the female GP are also nearly four times as likely to be long, while placebo visits to other male providers generate no comparable response. Complementary difference-in-differences estimates, which exploit variation in when the program began across towns, show that prescribing effects are concentrated among program users. The pattern is consistent with women raising hormonal and gynaecological concerns with the female GP that they are less likely to raise with local male providers.

 

date_range 20 OCTOBER 2026

Peer Effects Behind Bars: Social Networks and Behavioral Change in Prison

Speaker(s)

Tarek Jaber-Lopez (Research Fellow at CSIC (Spanish National Research Council), Institute of Public Goods and Policies)

Additional information

Co auteurs : Loukas Balafoutas; Antonio Cabrales
Abstract : This paper investigates how social networks inside prison shape economic behavior. We combine detailed network data, incentivized behavioral experiments, and administrative records for 490 male inmates housed in 14 units across two maximum-security prisons in Catalonia, Spain. We elicit five directed networks and measure altruism, cooperation, destructive behavior, risk-taking, and dishonesty. To identify endogenous peer effects within pre-existing relationships, we exploit intransitive network links and instrument direct peers’ behavior with the behavior of peers of peers. We complement this analysis with administrative measures of disciplinary sanctions and participation in prison activities, as well as with behavioral changes following discussion in randomly assigned groups. The network-IV estimates reveal substantial peer effects within friendship networks across all six behavioral domains, including altruism, cooperation, destructive behavior, risk-taking, and both measures of dishonesty, whereas conventional OLS estimates are generally smaller and less precise. Behavioral clustering also extends to naturally occurring institutional conduct: friends’ sanction rates and participation in prison activities predict inmates’ corresponding outcomes. Randomly assigned group composition, however, robustly predicts behavioral change only for the two prosocial measures, altruism and cooperation. Evidence that network centrality systematically amplifies peer influence is limited. Overall, the findings show that prison networks transmit both constructive and harmful behavior, suggesting that social relationships behind bars can operate as channels for misconduct as well as for cooperation and institutional participation.

date_range 10 NOVEMBER 2026

Powering Down Nuclear: A Multidimensional Impact Evaluation of the German Case

Speaker(s)

Claire Alestra (Associate Professor, Université Lumière Lyon 2, GATE)

Additional information

Abstract : Following the Fukushima nuclear accident, Germany has adopted the 2011 Atomic Energy Act, which plans the phase-out of nuclear power by 2022. It establishes the immediate and permanent shutdown of half of the country's nuclear reactors and the gradual closure of the remaining ones. Using German Socio-Economic Panel (2022) data at the district scale and the Difference-in-Difference approach, this paper aims to evaluate the overlooked local effects of this exogenous policy on socio-economic indicators. Employment and health estimates indicate a trade-off between a positive ``direct" effect of the phase-out on energy workers and a negative ``induced" effect on the other local economic activities revolving around the nuclear power plants. The dismantling of these plants and the adjustments required to compensate for the change in electricity supply might explain the ``direct" impact. A possible channel for the ``induced" effect is adaptive behaviours to economic uncertainty, reflecting concerns for the future district's dynamism following the sudden shutdown. I find no evidence for real-estate outcomes. This study aspires to help fill the gap in empirical work assessing the effects of large-scale nuclear shutdowns, a policy considered by other countries, and to contribute to the discussion on the consequences of ambitious energy policies.

date_range 24 NOVEMBER 2026

Preferences for Urban Agriculture in Low-Income Neighborhoods: A Choice Experiment

Speaker(s)

Maïa David PSAE, INRAE, AgroParis Tech, University of Paris-Saclay)

Additional information

Co auteurs : G. Giacché, , J. Rinn, et L. Tuffery
Abstract : Urban agriculture (UA) is rapidly expanding, providing environmental, social, economic, and well-being services. With limited space and resources in urban areas, trade-offs between these services must be carefully considered when designing UA projects. Discrete choice experiments (DCE) can elicit and quantify such trade-offs, but have never been applied to disadvantaged neighborhoods, where needs and constraints are acute and trade-offs particularly crucial. Our work addresses this gap by conducting a DCE on a UA project in a low-income neighborhood in the Paris region. We elicit residents' preferences for both private (food, individual learning) and public (social integration, solidarity) services procured by UA. In addition, we introduce a methodological innovation by weighting responses according to respondents' understanding of the DCE choice tasks to improve data quality. Our results indicate that local food production is the most valued service, followed by social dimensions such as educational activities for members and hosting vulnerable external visitors. However, willingness-to-pay remains low, suggesting a need for public funding. We also find substantial preference heterogeneity across age, education, and income levels highlighting the importance of flexible project design. Last, while weighting by respondents' understanding improves data reliability, it may come at the cost of reduced representativeness.

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