100 research outputs found
For Love or Money: A Common Neural Currency forĀ Social and Monetary Reward
Two papers in the current issue of Neuron (Izuma etĀ al. and Zink etĀ al.) report that activity in specific regions of the brain, especially the striatum, reflects a common signal of reward in both the economic (e.g., money) and social (e.g., praise and status) domains
Community-based Crisis Response: Evidence from Sierra Leoneās Ebola Outbreak
Postmortems on the recent Ebola outbreak in West Africa suggest that effective community engagement helped slow transmission by encouraging people to come forward and be tested. We evaluate the impact of Community Care Centers: a new crisis response model designed to allay fears about western medical care and, thus, encourage early reporting, isolation, and treatment. We employ new panel data on reported Ebola cases and a difference-in-difference design and find that Community Care Centers dramatically increased reporting, potentially reducing the spread of Ebola. Our results highlight how community-based efforts to increase confidence in health systems can be critical for crisis management
Recommended from our members
General equilibrium effects of cash transfers: experimental evidence from Kenya
Multivariate Patterns in Object-Selective Cortex Dissociate Perceptual and Physical Shape Similarity
Prior research has identified the lateral occipital complex (LOC) as a critical cortical region for the representation of object shape in humans. However, little is known about the nature of the representations contained in the LOC and their relationship to the perceptual experience of shape. We used human functional MRI to measure the physical, behavioral, and neural similarity between pairs of novel shapes to ask whether the representations of shape contained in subregions of the LOC more closely reflect the physical stimuli themselves, or the perceptual experience of those stimuli. Perceptual similarity measures for each pair of shapes were obtained from a psychophysical same-different task; physical similarity measures were based on stimulus parameters; and neural similarity measures were obtained from multivoxel pattern analysis methods applied to anterior LOC (pFs) and posterior LOC (LO). We found that the pattern of pairwise shape similarities in LO most closely matched physical shape similarities, whereas shape similarities in pFs most closely matched perceptual shape similarities. Further, shape representations were similar across participants in LO but highly variable across participants in pFs. Together, these findings indicate that activation patterns in subregions of object-selective cortex encode objects according to a hierarchy, with stimulus-based representations in posterior regions and subjective and observer-specific representations in anterior regions
Recommended from our members
Measuring and bounding experimenter demand
We propose a technique for assessing robustness to demand effects of findings from experiments and surveys. The core idea is that by deliberately inducing demand in a structured way we can bound its influence. We present a model in which participants respond to their beliefs about the researcher's objectives. Bounds are obtained by manipulating those beliefs with "demand treatments." We apply the method to 11 classic tasks, and estimate bounds averaging 0.13 standard deviations, suggesting that typical demand effects are probably modest. We also show how to compute demand-robust treatment effects and how to structurally estimate the model
Using behavioral science to promote international development
https://issuu.com/behavioralsciencepolicyassociation/docs/v3i3_web_bryanhttps://issuu.com/behavioralsciencepolicyassociation/docs/v3i3_web_bryanhttps://issuu.com/behavioralsciencepolicyassociation/docs/v3i3_web_bryanhttps://issuu.com/behavioralsciencepolicyassociation/docs/v3i3_web_bryanhttps://issuu.com/behavioralsciencepolicyassociation/docs/v3i3_web_bryanhttps://issuu.com/behavioralsciencepolicyassociation/docs/v3i3_web_bryanAccepted manuscrip
The effects of mental health interventions on labour market outcomes in low-and-middle-income countries
Mental health conditions are prevalent but rarely treated in low- and middle-income countries (LMICs). Little is known about how these conditions affect economic participation. This paper shows that treating mental health conditions substantially improves recipientsā capacity to work in these contexts. First, we perform a systematic review and meta-analysis of all randomized controlled trials (RCTs) ever conducted that evaluate treatments for mental ill-health and measure economic outcomes in LMICs. On average, treating common mental disorders like depression with psychotherapy improves an aggregate of labor market outcomes made up of employment, time spent working, capacity to work and job search by 0.16 standard deviations. Treating severe mental disorders, like schizophrenia, improves the aggregate by 0.30 standard deviations, but effects are noisily estimated. Second, we build a new dataset, pooling all available microdata from RCTs using the most common trial design: studies of psychotherapy in LMICs that treated depression and measured days participants were unable to work in the past month. We observe comparable treatment effects on mental health and work outcomes in this sub-sample of highly similar studies. We also show evidence consistent with mental health being the mechanism through which psychotherapy improves work outcomes
- ā¦