The purpose of this paper is to estimate the relationship among a primary set of economic variables, including two types of monetary aggregates: simple sum M2 and credit-card-augmented Divisia inside money services. The importance of that comparison has grown as the use of credit cards in...

We use Belgian data on domestic firm-to-firm transactions and ask how the measurement of the share of imports in final consumption is affected when one uses data recorded at higher levels of aggregation. We find that aggregating detailed firm-to-firm transaction data to the firm level and...

Politicians, CEOs and various other types of dictators make social choices that influence both their own and others' welfare. When a dictator's preferred alternative differs from recipients', it is unclear which preferences they aggregate and how they determine this set of admissible...

Consider a setting in which individual strict preferences need to be aggregated into a social strict preference relation. For two alternatives and an odd number of agents, it follows from May’s Theorem that the majority aggregation rule is the only one satisfying anonymity, neutrality, and...

The efficient market hypothesis predicts that asset prices reflect all available information. Recent experimental work found the rational expectation model to outperform the prior information model in contingent claim markets when traders hold homogeneous values, despite the no trade...

This paper decision-theoretically investigates belief aggregation method which allows consistently updating the aggregate belief.After confirming that the Pareto axiom and dynamic consistency require decision power of an individual to evolve proportionally to how much his/her prior has been...

HighlightsOrder aggregation and scheduling in a meal delivery problemAlessandro Agnetis, Matteo Cosmi, Gaia Nicosia, Andrea Pacifici• A new model for scheduling single- or dual-order deliveries• A branch and bound algorithm makes use of sophisticated lower bounding schemes• Extensive...

Machine learning algorithms dedicated to financial time series forecasting have gained a lot of interest. But choosing between several algorithms can be challenging, as their estimation accuracy may be unstable over time. Online aggregation of experts combine the forecasts of a finite set of...