This brief is based on results from the study Impact of energy access on food security and child nutrition: panel data evidence from rural Ethiopia, EfD Discussion Paper 22-11, June 2022, by Tagel Gebrehiwot and Sied Hassen.
Behavioral economics - a field based in collaborations among economists and psychologists - focuses on integrating a nuanced understanding of behavior into models of decision-making. Since the mid-20th century, this growing field has produced research in numerous domains and has influenced policymaking, research, and marketing. However, little has been done to assess these contributions and review evidence of their use in the policy arena.
This study is one of the first to present causal evidence of the morbidity costs of fine particulates (PM2.5) for all age cohorts in a developing country, using individual-level health spending data from a basic medical insurance program in Wuhan, China. Our instrumental variable (IV) approach uses thermal inversion to address potential endogeneity in PM2.5 concentrations and shows that PM2.5 imposes a significant impact on healthcare expenditures.
Malnutrition continues to affect many vulnerable populations worldwide, with the majority of these residing in developing and underdeveloped countries. This problem has been exacerbated by the changing climate and more recently by the COVID-19 pandemic. Urgent efforts geared towards enhancing sustainable production and value chains of nutritious foods to ensure access to healthier diets are therefore critical.
Dans le cadre du premier appel à projet « Flash-COVID-19 » de l’Agence nationale de la recherche, nous avons mobilisé des méthodes récentes de l’économie comportementale afin de mieux comprendre les décisions des individus face à la crise sanitaire due à la pandémie de COVID-19 (coronavirus disease 2019) et d’identifier les paramètres pouvant influencer le respect des mesures sanitaires.
Abstract. We test the effectiveness of a social comparison nudge (SCN) to enhance lockdown compliance during the COVID-19 pandemic using a French representative sample ( N = 1,154). Respondents were randomly assigned to a favorable/unfavorable informational feedback (daily road traffic mobility patterns, in Normandy – a region of France) on peer lockdown compliance. Our dependent variable was the intention to comply with a possible future lockdown. We controlled for risk, time, and social preferences and tested the effectiveness of the nudge.
The public acceptability of a policy is an important issue in democracies, in particular for anti-COVID-19 policies, which require the adherence of the population to be applicable and efficient. Discrete choice experiment (DCE) can help elicit preference ranking among various policies for the whole population and subgroups. Using a representative sample of the French population, we apply DCE methods to assess the acceptability of various anti-COVID-19 measures, separately and as a package.