Matching food security and malnutrition indicators: evidence from Southeast Asia

This article aims to understand the relation between household food security and individual undernutrition. The multitude of indicators available raises the question which aspects of food security are captured by the respective indicator. In our analysis, we first assess the relation between the dimensions of food security and households’ socioeconomic characteristics. Second, we examine whether household indicators detect undernutrition in children. Finally, we investigate the role of individual‐specific characteristics for child undernutrition. The analysis is based on a novel data set of 1,200 rural households from Cambodia and Lao PDR, which combines household‐ and individual‐level data. We capture household food security by three indicators including a dietary diversity score, a consumption behavior measure, and an experiential measure. Individual nutrition status is measured via anthropometric indicators. Our results show that different household‐level indicators capture fundamentally different aspects of food security. Moreover, household food security fails to explain stunting for children under five. Dietary diversity indicators, however, explain underweight in children to a small extent. We call for more research on intrahousehold allocation of food and stress the implications of our research for the design and targeting of food and nutrition support programs.     

The Delphi method, impeachment and terrorism: Accuracies of short-range forecasts for volatile world events

Two experiments examined the effects of iterated polling and feedback on prediction accuracy for volatile world events using the Delphi paradigm. In both experiments, participants predicted rapidly changing geopolitical events. The first experiment occurred during the litigation surrounding the Clinton/Lewinsky affair in 1998. Results indicated that feedback improved individual and group accuracy for predictions of whether an event would occur. These types of predictions derived from group consensus were approximately 90% accurate, which was significantly higher than the average individual participant's accuracy. Neither polling nor feedback had much effect on time course predictions. The second experiment occurred during the American military action against the Taliban regime in Afghanistan in 2001. In Experiment 2, participants were polled three times to determine if increasing the number of iterated polls would improve Delphi accuracy. The results showed that accuracy improved from the first to the second poll but not from the second to the third. The groups predicted whether these scenarios would occur with approximately 75% accuracy, which was significantly higher than the accuracy of any individual participant. Once again, the Delphi procedure did not enhance time course predictions in Experiment 2.     

Agent-based model generating stylized facts of fixed income markets

Journal of Economic Interaction and Coordination - We develop an agent-based model (ABM) of a financial market with multiple assets belonging either to the fixed income or equity asset classes. The...     

Overlooked encounters: young tourists' experiences at dark sites

This research note reviews the existing literature comprised of dark tourism articles and chapters mentioning children. Publications meeting the search criteria were few. Accordingly, we offer possible reasons for the scarcity of research on children in dark tourism, including the legal constraints when researching with minors, the academic risk in undertaking a new field of research, and the substantial expertise needed to engage children in studies. We conclude with the compelling reasons to undertake such research: to inform interpretation of emotionally provocative sites for children, to understand and mitigate children's psychological distress at dark sites, and to advance theoretical work on children as tourists.     

Some Variants of Constrained Estimation in Finite Population Sampling

This is a review article that unifies several important examples using constrained optimisation techniques. The basic tools are three simple mathematical optimisation results subject to certain constraints. Applications include calibration, benchmarking in small area estimation and imputation. A final illustration is constrained optimisation under a general divergence loss.     

Research needs for assessing online value creation in complex consumer purchase process behavior

Consumers face considerable frustration when purchasing structurally and/or semantically complex high-involvement products online. Reliance on computer-mediated communications for their information needs may result in functional and emotional frustration from information overload and lack of personal trust. This paper proposes a responsive real-time information system as a proxy for a perceptive sales representative who assesses customer needs based on information exchanges and then offers appropriate responses. By tracking and analyzing a consumer's online activity, vendors can offer information relevant to the consumer's real-time needs, facilitating their purchase process. In essence, this is a real-time value co-creation process based on the consumer offering cues to vendors through their key strokes and mouse click activity. This allows for differentiated information offerings for inexperienced and more experienced consumers, creating value by dynamic information serving. Where appropriate value is created, consumers will experience less frustration and continue online, rather than possibly moving offline or to alternative vendors. In examining the bases of consumer information needs in complex purchases, this paper identifies the data required to enable a responsive dialog between vendors and consumers.     

Accounting aggregation: User preferences and decision making

This experiment tests the effects of alternative aggregations of accounting data in a simulated portfolio task. Certain entropy-based aggregation criteria were used to prepare differentially aggregated financial statements for use in the task. Subjects made allocations of initial edowments between hypothetical firms, disclosed confidence in their allocation decisions and reported on specific characteristics of the financial statements. Differences in reported usefulness of statement sets furnished were found to be associated strongly with measured information content. The results also provide limited evidence that decisions and judgments of subjects were affected by the information content of the accounting aggregations provided.     

Absorptive Capacity, Coauthoring Behavior, and the Organization of Research in Drug Discovery

We examine the interface between for-profit and publicly funded research in pharmaceuticals. Firms access upstream basic research through investments in absorptive capacity in the form of in-house basic research and 'pro-publication' internal incentives. Some firms also maintain extensive connections to the wider scientific community, which we measure using data on coauthorship of scientific papers between pharmaceutical company scientists and publicly funded researchers. 'Connectedness' is significantly correlated with firms' internal organization, as well as their performance in drug discovery. The estimated impact of 'connectedness' on private research productivity implies a substantial return to public investments in basic research.