Research

Publications

Peer-reviewed articles

Crainich, D., Goldzahl, L., Jusot, F., & Mignon, D. (2025). Explaining the long-term care insurance puzzle: The role of preferences for correlation and for quality of life over wealth. Journal of Health Economics.

https://doi.org/10.1016/j.jhealeco.2025.103030

Husøy, S. J., & Mignon, D. (2025). Well-being and technology: The effect of individual laptops in high school. Economics of Education Review. https://doi.org/10.1016/j.econedurev.2025.102653

Mignon, D. (2021). Étude de l’effet des fragilités psychologiques des étudiants sur les croyances de contrôle. Revue économique, 72, 969-1000. https://doi.org/10.3917/reco.726.0969

Title in English: Investigating the effect of students psychological fragilities on control beliefs - Early version in English available here

Mignon, D. & Jusot, F. (2020). Inequalities of Opportunity in the Use of Healthcare by Young Adults in France. Economie et Statistique / Economics and Statistics, 514‑515‑516, 155–173.

https://doi.org/10.24187/ecostat.2020.514t.2014

Book chapters - In French

Mignon D. & Morvan Y. (2020), "Le recours aux soins des étudiants souffrant de dépression en 2016", in La Santé des Etudiants, La Documentation Française

Mignon D. (2020), "Se préoccuper de sa santé: arbitrage entre le curatif, la prévention et les comportements à risque", in La Santé des Etudiants, La Documentation Française

Report

Simpson, J., Munford, L., Brown, H., Mignon, D., Crawshw, P., Davies, H., & Bambra, C. (2025). Health for Wealth 2025 Building a Healthier North to boost UK Productivity.

Contribution chapter 6: "Impacts of Improving Mental Health on Regional Productivity and Economic Prosperity"

Working papers

General practice experiences of patients with mental health issues – A General Practice Patient Survey analysis joint work with Pulkit Singh, Jessica Drinkwater, Maria Panagioti, Selina Robertson & Luke Munford

Abstract - General practice (GP) is a cornerstone for managing mental health, but addressing these conditions within primary care poses persistent challenges. Limited evidence exists regarding these patients'experience in primary care settings. The evolving primary care landscape in England combined with demand pressures further complicates the issue. This study aims to examine the access and experience in general practice of patients with mental health conditions. We analyzed cross-sectional individual-level data from the GP Patient Survey (20182023). We use a range of outcomes (overall experience, access, experience during last appointment) to capture the experience of the general practice. The main variable of interest is mental health status which is measured with two different variables: one indicating declared mental health needs and the other indicating a long term mental health condition. We control for patients' characteristics (sex, age, ethnicity, other long-term conditions, socioeconomic status), appointment characteristics and practices characteristics (number of different healthcare professionals, size of patients list and crowding). We run rely linear probability models and account for unobservable characteristics at the general practice level by relying on fixed effects. We use interaction terms to explore whether practice characteristics contribute more or less to the access and experience of the patients with mental health conditions. The results show that patients with a long-term mental health condition consistently report worse outcomes for access to care and experience. The results are more nuanced for patients who declared mental health needs. We find that a higher number of GPs is associated with better outcomes for patients with mental health conditions. The findings highlight the importance of addressing barriers to primary care access for patients with mental health issues. There is preliminary evidence that general practice characteristics, such as the number of GPs can mitigate the lesser outcomes of this population.

Is there an association between mental health and economic prosperity? A longitudinal ecological study in England, 2011-2019 joint work with Sam Khavandi, Clare Bambra, Matt Sutton and Luke Munford

R&R in BMJ Open

Considering population mental health spillovers on productivity- A spatial analysis in England joint work with Matt Sutton and Luke Munford

Abstract - In the English context of regional health inequalities, evidence is emerging of geographical clusters of ill-health, notably mental ill-health. These clusters are also generally areas with low economicproductivity. Measures of local area productivity do not only capture the work of individuals living in the area, as individuals might work and live in different areas (e.g. commute). The objective of this study is to explore the spatial association between population mental health and productivity, allowing for potential spatial spillovers. We use a panel dataset over the years 2011-2019 at the Middle Super Output Area Level (MSOA) in England. Our outcome is the deflated gross-value added (GVA) per capita. Our main variable of interest is population mental health measured using an index. We use spatial models which account for the potential contribution of neighbouring population mental health. We also use spatial panel models to account for time-invariant unobservables at the local area level. We explore the sensitivity of our results to different spatial weighting matrices (contiguity, inverse distance, or commuting flow matrices). The results indicate a positive total association between the population mental health index and the GVA per capita. Whether the contribution comes from the local area or the neighbouring ones depends on the spatial weighting matrix.

Crowding in general practice and patient-reported unmet needs: an analysis of GP Patient Survey data joint work with Ibrahim Al Jahwari Abstract - Crowding in primary care has emerged as a significant issue within England, where both increasing demand and limited resources are complicating patient access to services. This study aims to examine how key elements of general practice (GP) access—ease of contacting GP, securing preferred appointment times—is associated with the likelihood of unmet needs during consultations. We analysed cross-sectional individual-level data from the GP Patient Survey (2018–2023). Binary outcome variables were derived from survey questions, capturing whether individuals needs were met during an appointment. To assess the impact of access factors on these outcomes, we employed weighted linear regression models. The models control for socio-demographic characteristics, appointment characteristics and time-varying practice characteristics. We account for unobservable characteristics at the GP level by relying on fixed effects. The analysis demonstrates that positive experiences with GP access are significantly associated with lower levels of unmet needs. The evidence of the association being more pronounced among socio-economically disadvantaged populations are mixed. The findings highlight the importance of addressing barriers to primary care access to mitigate unmet needs. As these barriers can be a signal of crowding, policies which increase resources or enhance patient experience, particularly for disadvantaged groups, are crucial in reducing health inequalities and improving overall healthcare outcomes.

Effect of BMI on job satisfaction in Norway: a Mendelian Randomisation analysis using HUNT-data joint work with Edwards C. H., Hughes A., Bjørnelv G.M.W., Vie G.A., Carlsen F. & Bjørngaard J.H.

Abstract - Job satisfaction is an important outcome that reflects job quality and influences workers' productivity. Body Mass Index (BMI) might have an effect on job satisfaction for several reasons. People with higher BMI might suffer from weight stigma at work, have lower job expectations, have poorer health which affects their overall job satisfaction. The association between BMI and job satisfaction is prone to endogeneity issues (reverse causality, selection, confounders bias). To study the effect of BMI on job satisfaction, we propose an identification strategy based on Mendelian Randomization (MR), i.e. using genetic variants as instrumental variables for BMI. Relying on rich data from a Norwegian region, we show that people with higher BMI are more likely to declare good job satisfaction. Once we implement our instrumental variable strategy, there is no evidence that BMI has an effect on job satisfaction. We also explore other dimensions of job satisfaction: solidarity, support, welfare and victimization at work and do not find further evidence.

Work in progress

BMI Effect on Multimorbidity: A Mendelian Randomization Analyses within the HUNT Study joint work with Carlsen F., Vie G.A., Bjørngaard J.H. & Bjørnelv G.M.W.

A speeding revolution? The yellow vest protests and traffic accidents joint work with Krehic L.

Understanding Health Behaviours Through Mental Health, Consumption Effort, and Living Environment joint work with Lachlan Cameron

How does transitioning away from face-to-face appointments in primary care affect patients with physical and mental long-term health conditions? joint work with Pulkit Singh

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