When Food Kills

When Food Kills

F or the estimated 800 million people, living largely in developing countries, without enough food to eat, the main food risk is starvation. But if you ask, 'When does food actually kill?' in a country such as the United Kingdom, 'Not that often' is the short reply you would give after reading Hugh Pennington's book When Food Kills: BSE, E. coli, and Disaster Science. The two food-borne disease...

When curiosity kills the profits: An experimental examination

Economic theory predicts that in a first-price auction with equal and observable valuations, bidders earn zero profits. Theory also predicts that if valuations are not common knowledge, then since it is weakly dominated to bid your valuation, bidders will bid less and earn positive profits. Hence, rational players in an auction game should prefer less public information. We are perhaps more use...

When Food Matters: Identifying Food-related Events on Twitter

Food communities in Twitter are growing every year, and food-related content permeates everyday conversations. Users meet on Twitter to share recipes, give cooking advices or simply inform others about what they are eating. While some of these food-related conversations are not associated with any special occurrence, many conversations take place instead during specific events. The detection of...

When Bias Kills the Variance: Central Limit Theorems for DEA and FDH Efficiency Scores

Data envelopment analysis (DEA) and free disposal hull (FDH) estimators are widely used to estimate efficiencies of production units. In applications, both efficiency scores for individual units as well as average efficiency scores are typically reported. While several bootstrap methods have been developed for making inference about the efficiencies of individual units, until now no methods hav...

When Bias Kills the Variance: Central Limit Theorems for DEA and FDH Efficiency Scores: Technical Appendix