Compiling the national accounts demystified

This paper unveils the mystery of national accounts statistics. National accounts statistics are not facts. They are estimates of a universal accounting model (SNA93) for describing, analyzing and managing national economies. The operational versions of the universal model decide what is actually estimated. They are estimated by expanding and transforming the available data with accounting identities, tested and untested assumptions and previous estimates. The estimates reflect skills, resources and compilation policy. The resulting differences in the reliability of the national accounts statistics are to a great extent the price to be paid for a miracle come true: all over the world, very incomplete, imperfect, heterogeneous and partly outdated data are to be transformed into complete, consistent, internationally standardized and up-to-date overviews of the national economies and their major components. Nevertheless, compiling the national accounts can be improved in various ways, but this requires an international long-term strategy.National accounts; data compilation; reliability of national accounts statistics; measurement in economics

An Architectural Approach to Ensuring Consistency in Hierarchical Execution

Hierarchical task decomposition is a method used in many agent systems to organize agent knowledge. This work shows how the combination of a hierarchy and persistent assertions of knowledge can lead to difficulty in maintaining logical consistency in asserted knowledge. We explore the problematic consequences of persistent assumptions in the reasoning process and introduce novel potential solutions. Having implemented one of the possible solutions, Dynamic Hierarchical Justification, its effectiveness is demonstrated with an empirical analysis

Automatic multi-label subject indexing in a multilingual environment

This paper presents an approach to automatically subject index fulltext documents with multiple labels based on binary support vector machines(SVM). The aim was to test the applicability of SVMs with a real world dataset. We have also explored the feasibility of incorporating multilingual background knowledge, as represented in thesauri or ontologies, into our text document representation for indexing purposes. The test set for our evaluations has been compiled from an extensive document base maintained by the Food and Agriculture Organization (FAO) of the United Nations (UN). Empirical results show that SVMs are a good method for automatic multi- label classification of documents in multiple languages

Paranoia.Ada: A diagnostic program to evaluate Ada floating-point arithmetic

Many essential software functions in the mission critical computer resource application domain depend on floating point arithmetic. Numerically intensive functions associated with the Space Station project, such as emphemeris generation or the implementation of Kalman filters, are likely to employ the floating point facilities of Ada. Paranoia.Ada appears to be a valuabe program to insure that Ada environments and their underlying hardware exhibit the precision and correctness required to satisfy mission computational requirements. As a diagnostic tool, Paranoia.Ada reveals many essential characteristics of an Ada floating point implementation. Equipped with such knowledge, programmers need not tremble before the complex task of floating point computation

Heuristic usability evaluation on games: a modular approach

Heuristic evaluation is the preferred method to assess usability in games when experts conduct this evaluation. Many heuristics guidelines have been proposed attending to specificities of games but they only focus on specific subsets of games or platforms. In fact, to date the most used guideline to evaluate games usability is still Nielsen’s proposal, which is focused on generic software. As a result, most evaluations do not cover important aspects in games such as mobility, multiplayer interactions, enjoyability and playability, etc. To promote the usage of new heuristics adapted to different game and platform aspects we propose a modular approach based on the classification of existing game heuristics using metadata and a tool, MUSE (Meta-heUristics uSability Evaluation tool) for games, which allows a rebuild of heuristic guidelines based on metadata selection in order to obtain a customized list for every real evaluation case. The usage of these new rebuilt heuristic guidelines allows an explicit attendance to a wide range of usability aspects in games and a better detection of usability issues. We preliminarily evaluate MUSE with an analysis of two different games, using both the Nielsen’s heuristics and the customized heuristic lists generated by our tool.Unión Europea PI055-15/E0

Use, misuse and proper use of national accounts statistics

In this paper, the relevance of national accounts statistics and their underlying conceptual framework is investigated for their four roles: description and object of analysis, tool for analysis and forecasting, tool for communication and decision-making and input for alternative accounts budgetary rules and estimates. For each role, the merits and limitations of national accounts statistics are described and discussed. Proper use should be stimulated by improving education and marketing and by supplementing national accounts with information about their meaning and reliability.National accounts; relevance and reliability; forecasting; economic and fiscal policy