Exploiting French survey data, we empirically ascertain whether earnings uncertainty and borrowing constraints decrease households demand for risky assets, consistent with theoretical predictions. A major empirical problem is the potential endogeneity bias of income risk, as more risk averse...

We work with a multi-period system where a finite number of agents need to share multiple monetary risks. We look for the solutions that are both Pareto efficient utility-wise and financially fair value-wise. A buffer enables the inter-temporal capital transfer. Expected utility is used to...

This study explores the risk-based effects of negative electronic word-of-mouth (neWOM) perception (financial and performance risks) on electronic word-of-mouth (eWOM) credibility and purchase intention for promotion- and prevention-focused consumers. In this experimental study, a survey was...

A method for treating Contingent Valuation data obtained from a polychotomous response format designed to accommodate respondent uncertainty is developed. The parameters that determine the probability of indefinite responses are estimated and used to truncate utility distributions within a...

This paper explores the interactions between the risk of food insecurity and the decision to health insure in the Palestinian Territories. The risk of adverse health conditions is insurable; the risk of food insecurity is a background risk and no market insurance exists. The vulnerability to food...

The main aim of this paper is to assess whether there is a statistically significant environmental impact of cities within European countries. Second, starting from the estimated environmental impact of cities within European countries, the paper investigates whether cross-country variation can...

Analysing the US Panel Study of Income Dynamics, we present a new empirical method to investigate the extent to which households reduce their financial risk exposure when confronted with background risk. Our novel modelling approach – termed a deflated fractional ordered probit model –...

This paper is an exposition of an experiment on revealed preferences, where we posit a novel discrete binary choice model. To estimate this model, we use general estimating equations or GEE. This is a methodology originating in biostatistics for estimating regression models with correlated data....

Analysing the US Panel Study of Income Dynamics, we present a new empirical method to investigate the extent to which households reduce their financial risk exposure when confronted with background risk. Our novel modelling approach - termed a deflated fractional ordered probit model -...

We establish nonparametric identification in a class of so-called index models using a novel approach that relies on general topological results. Our proof strategy imposes very weak smoothness conditions on the functions to be identified and does not require any large support conditions on the...