منابع مشابه
Neuroforecasting Aggregate Choice
Advances in brain-imaging design and analysis have allowed investigators to use neural activity to predict individual choice, while emerging Internet markets have opened up new opportunities for forecasting aggregate choice. Here, we review emerging research that bridges these levels of analysis by attempting to use group neural activity to forecast aggregate choice. A survey of initial finding...
متن کاملWhen Brain Beats Behavior: Neuroforecasting Crowdfunding Outcomes
Although traditional economic and psychological theories imply that individual choice best scales to aggregate choice, primary components of choice reflected in neural activity may support even more generalizable forecasts. Crowdfunding represents a significant and growing platform for funding new and unique projects, causes, and products. To test whether neural activity could forecast market-l...
متن کاملTitle: Building Aggregate Timber Supply Models from Individual Harvest Choice Building Aggregate Timber Supply Models from Individual Harvest Choice
Timber supply has traditionally been modelled using aggregate data. In this paper, we build aggregate supply models for four roundwood products for the US state of North Carolina from a stand-level harvest choice model applied to detailed forest inventory. The simulated elasticities of pulpwood supply are much lower than reported by previous studies. Cross price elasticities indicate a dominant...
متن کاملFinal Analytical Comparison of Aggregate and Disaggregate Mode Choice Models Transferability
Transportation models as tools for transportation planning are critical to such related decisions. Considering the high cost of calibrating and validating such models, effective alternatives are highly sought for; one such alternative being the use of models calibrated for other cities. This calls for transferability analysis which has not been the subject of many researches. Due to criticalit...
متن کاملBayesian Estimation of Random-Coefficients Choice Models Using Aggregate Data
This article discusses the use of Bayesian methods for estimating logit demand models using aggregate data. We analyze two different demand systems: independent samples and consumer panel. Under the first system, there is a different and independent random sample of N consumers in each period and each consumer makes only a single purchase decision. Under the second system, the same N consumers ...
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ژورنال
عنوان ژورنال: Current Directions in Psychological Science
سال: 2018
ISSN: 0963-7214,1467-8721
DOI: 10.1177/0963721417737877