The Role of Probability Weighting in Optimal Insurance Demand: A Double-Edged Sword

2019 ◽  
Author(s):  
Johannes Gerd Jaspersen ◽  
Richard Peter ◽  
Marc A. Ragin
Keyword(s):  
Probability Weighting ◽  
Insurance Demand ◽  
Optimal Insurance

On a new paradigm of optimal insurance demand and saving in an intertemporal framework: Why is post-accident insurance so high?

2021 ◽  
Author(s):  
Richard Mumo ◽  
John Boscoh Hatson Njagarah ◽  
Richard Watt
Keyword(s):  
Accident Insurance ◽  
New Paradigm ◽  
Insurance Demand ◽  
Optimal Insurance

What's at Stake? Understanding the Role of Home Equity in Flood Insurance Demand

2021 ◽  
Author(s):  
Yanjun Liao ◽  
Philip Mulder
Keyword(s):  
Flood Insurance ◽  
Home Equity ◽  
Insurance Demand

scholarly journals Applied causal inference methods for sequential mediators

2021 ◽  
Author(s):  
Maja Popovic ◽  
Lorenzo Richiardi ◽  
Ghislaine Scelo ◽  
Francesca Fasanelli ◽  
Barbara Heude ◽  
...  
Keyword(s):  
Mediation Analysis ◽  
Odds Ratio ◽  
Respiratory Infections ◽  
Probability Weighting ◽  
Inverse Probability ◽  
Causal Pathway ◽  
Inference Methods ◽  
Imputation Approach

Abstract Mediation analysis aims at estimating to what extent the effect of an exposure on an outcome is explained by a set of mediators on the causal pathway between the exposure and the outcome. In this context, the total effect of the exposure on the outcome can be decomposed into the natural indirect effect, i.e. the effect explained by the mediators jointly, and the natural direct effect, i.e. the effect unexplained by the mediators. However finer decompositions are also possible in presence of independent or sequential mediators. As sequential mediation analysis is increasingly common in epidemiology, applied researchers have to interface with difficulties related to the application, implementation, and interpretation of the methods pro- posed in literature. We review four statistical methods to analyse multiple sequential mediators, all based on the counterfactual framework: the inverse odds ratio weight- ing approach, the inverse probability weighting approach, the imputation approach and the extended imputation approach. These approaches are described, compared and implemented using a case-study with the aim to investigate the role of adverse reproductive outcomes and infant respiratory infections on infant wheezing in the Ninfea birth cohort.

Probability weighting in different domains: The role of affect, fungibility, and stakes

2015 ◽  
Vol 51 ◽  
pp. 1-15 ◽  
Author(s):  
Michał Wiktor Krawczyk
Keyword(s):  
Probability Weighting

Aspects of optimal insurance demand when there are uninsurable risks

1988 ◽  
Vol 7 (1) ◽  
pp. 9-14 ◽  
Author(s):  
Peter Kischka
Keyword(s):  
Insurance Demand ◽  
Optimal Insurance

Do you trust your insurer? Ambiguity about contract nonperformance and optimal insurance demand

2020 ◽  
Vol 180 ◽  
pp. 938-954 ◽  
Author(s):  
Richard Peter ◽  
Jie Ying
Keyword(s):  
Insurance Demand ◽  
Optimal Insurance

scholarly journals Optimal insurance demand under marked point processes shocks

2000 ◽  
Vol 10 (1) ◽  
pp. 283-312 ◽  
Author(s):  
Nizar Touzi
Keyword(s):  
Point Processes ◽  
Marked Point ◽  
Marked Point Processes ◽  
Insurance Demand ◽  
Optimal Insurance

Some new results about optimal insurance demand under uncertainty

2016 ◽  
Vol 17 ◽  
pp. 280-284
Author(s):  
Baoan Huang ◽  
Jianjun Miao ◽  
Zongliang Zhang ◽  
Dianbo Zhao
Keyword(s):  
Insurance Demand ◽  
Optimal Insurance
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