This paper is concerned with preference-aggregation rules satisfying desirable efficiency and solidarity requirements. We formulate weaker versions of existing solidarity axioms and show how they imply, in conjunction with strategy-proofness, the existence of reference outcomes holding...

A problem often faced by economic researchers is the interpolation or distribution of economic time series observed at low frequency into compatible higher frequency data. A method based on wavelet analysis is presented to temporal disaggregate time series. A standard `plausible' method is...

This article addresses the phenomenon of deflation from a historical perspective, a phenomenon rarely encountered in our days. Deflation is generally defined as the fall in the aggregate level of the consumer price index, respectively, the reverse inflationary phenomenon. The article also...

Cameleon# is a web data extraction and management tool that provides information aggregation with advanced capabilities that are useful for developing value-added applications and services for electronic business and electronic commerce. To illustrate its features, we use an airfare aggregation...

We study the real cost of market inefficiency, distinguishing between two types of market inefficiency: aggregate and cross-sectional mispricing. We argue that the real cost of cross-sectional mispricing is more severe than that of aggregate mispricing. The aggregate mispricing has a relatively...

In this paper a model for the aggregation of ballot profiles is considered.In this framework some new results are obtained:the characterization of the plurality aggregator and the non existence of a vote aggregator which is anonymous and yet preserves proximity

The combination of classifiers leads to substantial reduction of misclassification error in a wide range of applications and benchmark problems. We suggest to use the out-of-bag sample for combining different classifiers. In our setup, a Linear Discriminant Analysis is performed using the...

In this paper we studied two different classifiers fusion algorithms exploiting the combination weights expressed over the entire data space and the combination with data dependent weights. The following aggregation schemes are employed in the study: the majority vote, the averaging, the...

We propose a new approach based on a generalization of the classic logit model to improve prediction accuracy in US bank failures. We introduce mixed-data sampling (Midas) aggregation to construct financial predictors in a logistic regression. This allows us to relax the limitation of...

The paper studies topological properties of weighted directed graphs corresponding to highly aggregated macroeconomic input-output networks in Russia and the USA. As these graphs are complete or almost complete the study focuses on weight-sensitive characteristics of weighted directed networks....