What do we know about consumers' ontological security in disaster scenarios?

While prior consumer studies have adopted various theoretical perspectives to explain individuals' reactions to disasters, scant attention has been paid to the role of ontological security in shaping those responses. This study attempts to fill this knowledge gap by qualitatively exploring ontological security in two contexts: man-made and natural disasters. To this end, we conducted 35 focus groups in the UK, Germany, and France to address how people reacted to terrorist attacks and the COVID-19 pandemic respectively. Through thematic analysis, three themes emerged: fear versus anxiety, oneself versus others, and materialistic versus experiential purchases. Man-made disasters appear to elicit fear, concern for self, and a preference for materialistic purchases, whereas natural disasters seem to trigger anxiety, concern for others, and a preference for experiential purchases. Both types of disasters seem to evoke a desire to escape from reality. In closing, we discuss both transitory and prolonged threats to ontological security and how they shape individuals' behaviours while restoring their security.     

The Macroeconomic Effects of Shocks to Large Banks’ Capital

We propose a simple approach to quantifying the macroeconomic effects of shocks to large banks’ leverage. We first estimate a standard dynamic model of leverage targeting at the bank level and use it to derive an aggregate measure of the economic capital buffer of large US bank holding corporations. We then evaluate the response of key macro variables to a shock to this aggregate bank capital buffer using standard monetary VAR models. We find that shocks to the capital of large US banks explain a substantial share of the variance of credit to firms and real activity.     

LA GOUVERNANCE PAR L’EVALUATION. LES QUASI‐MARCHES DANS LES SERVICES A DOMICILE

RESUME 1 : Cet article propose une étude du rôle croissant que joue l’évaluation dans la gouvernance des services à domicile en Europe. L’introduction de quasi‐marchés dans plusieurs pays européens va de pair avec un processus d’autonomisation de la fonction d’évaluation qui devient un véritable outil de régulation de la concurrence. Une analyse comparée des situations en Belgique, France et Royaume‐Uni, tant de la demande que de l’offre de services, met en évidence les tensions récurrentes dans les objectifs de l’évaluation (qualité des services, maîtrise des budgets sociaux, création d’emploi), la faible prise en compte de la qualité de l’emploi ainsi que les limites des dispositifs standardisés d’évaluation au regard de la rhétorique du libre choix de l’usager (consommateur).     

Gini-PLS Regressions

Journal of Quantitative Economics - Data contamination and excessive correlations between regressors (multicollinearity) constitute a standard and major problem in econometrics. Two techniques...     

Downstream labeling and upstream price competition

This paper analyses the economic consequences of labeling in a setting with two vertically related markets. Labeling on the downstream market affects upstream price competition through two effects: a differentiation effect and a ranking effect. The magnitude of these two effects determines who in the supply chain will receive the benefits and who will bear the burden of labeling. For instance, whenever the ranking effect dominates the differentiation effect, the low-quality upstream firm loses from labeling while all downstream actors are individually better off. By decreasing the low-quality input price, the label acts as a subsidy and leads to an increase of the downstream market welfare. This analysis furthers our understanding of the economic consequences of labeling in cases like those of GMOs or restaurants.     

Should the Good and the Selfish be Taxed Differently?*

In this paper, we consider an environment where individual actions have externalities and two types of agents exist: agents with social preferences (the good) and selfish agents. Selfish agents have pay‐off functions that do not take into account social welfare. The pay‐off of an agent is a linear combination of social welfare and the pay‐off of a selfish agent. We demonstrate that the corrective tax rates that maximize social welfare do not depend on the degree of social preferences. Hence, the good and the selfish should not be taxed differently.     

Non-market valuation of forest goods and services: Good practice guidelines

The European COST Action E45 on European Forest Externalities (EUROFOREX) participants developed a set of good practice guidelines for the non-market valuation of forests, elaborating on stated and revealed preference methodologies, as well as benefit transfer and meta-analytical procedures. This article presents a summary of the guidelines.     

Contingent trade policy and economic efficiency

Review of World Economics - This paper models the competition for a domestic market between one domestic and one foreign firm as a pricing game under incomplete cost information. As the foreign...     

Delta-hedging correlation risk?

While the Gaussian copula model is commonly used as a static quotation device for CDO tranches, its use for hedging is questionable. In particular, the spread delta computed from the Gaussian copula model assumes constant base correlations, whereas we show that the correlations are dynamic and correlated to the index spread. It might therefore be expected that a dynamic model of credit risk, which is able to capture the dependence between the base correlations and the index spread, will have better hedging performances. In this paper, we compare delta hedging of spread risk based on the Gaussian copula model, to the implementation of jump-to-default ratio computed from the dynamic local intensity model. Theoretical and empirical analysis are illustrated by using the market data in both before and after the subprime crisis. We observe that delta hedging of spread risk outperforms the implementation of jump-to-default ratio in the pre-crisis period associated with CDX.NA.IG series 5, and the two strategies have comparable performance for crisis period associated with CDX.NA.IG series 9 and 10. This shows that, although the local intensity model is a dynamic model, it is not sufficient to explain the joint dynamic of the index spread and the base correlations, and a richer dynamic model is required to obtain better hedging results. Moreover, although different specifications of the local intensity can be fitted to the market data equally well, their hedging results can be significant different. This reveals substantial model risk when hedging CDO tranches.