Treibich

Carole Treibich

  • Post-doc
Contact:

Centre de la Vieille Charité
2 rue de la Charité
13002 Marseille
caroletreibich[at]gmail.com
Domaines de recherche:
Économie comportementale et expérimentale
Économie du développement
Économie de la santé
Thèse:
2014
Paris School of Economics, École des hautes études en sciences sociales
Is Self-Reported Risk Aversion Time Variant?, Seeun Jung et Carole Treibich, Revue d'économie politique, Volume 125, Issue 4, pp. 547-570, 2015

We examine a Japanese Panel Survey in order to check whether self-reported risk aversion varies over time. In most panels, risk attitude variables are collected only once (found in only one survey wave), and it is assumed that self-reported risk aversion reflects the individual’s time-invariant component of preferences toward risk. Nonetheless, the question could be asked as to whether the financial and personal shocks an individual faces over his lifetime modify his risk aversion. Our empirical analysis provides evidence that risk aversion is composed of a time-variant part and shows that the variation cannot be ascribed to measurement error or noise given that it is related to income shocks. Yet, the true time variant factor explains a relatively small share of the observed variation in risk aversion while differences between individuals account for nearly 50 % of it. Taking into account the fact that there are time-variant factors in risk aversion, we investigate how often it is preferable to collect the risk aversion measure in long panel surveys. Our result suggests that the best predictor of current behavior is the average of risk aversion, where risk aversion is collected every two years. It is therefore advisable for risk aversion measures to be collected every two years in long panel surveys.

Determinants of road traffic crash fatalities across Indian States, Michael Grimm et Carole Treibich, Health Economics, Volume 22, Issue 8, pp. 915-930, 2013

This article explores the determinants of road traffic crash fatalities in India. In addition to income, the analysis considers the sociodemographic population structure, motorization levels, road and health infrastructure and road rule enforcement as potential factors. An original panel data set covering 25 Indian states is analyzed using multivariate regression analysis. Time and state fixed-effects account for unobserved heterogeneity across states and time. The rising motorization, urbanization and accompanying increase in the share of vulnerable road users, that is, pedestrians and two-wheelers, are the major drivers of road traffic crash fatalities in India. Among vulnerable road users, women form a particularly high-risk group. Higher expenditure per police officer is associated with a lower fatality rate. The results suggest that India should focus, in particular, on road infrastructure investments that allow the separation of vulnerable from other road users on improved road rule enforcement and should pay special attention to vulnerable female road users.