[:es]Aparicio, J.(Miguel Hernandez University of Elche); Santin, D. (Complutense University of Madrid).
Abstract: Aparicio, Crespo-Cebada, Pedraja-Chaparro, and Santin (2017) recently extended the Camanho and Dyson (2006) Malmquist-type index (CDMI) for determining group performance in cross-sectional studies to panel or pseudo-panel databases. In that paper, it was shown that the pseudo-panel Malmquist index (PPMI) can be easily interpreted as the ratio of aggregated productivity changes in two groups of decision making units over time, if and only if a new difficult-to-interpret term, the so called ‘divergence component’ (DC), is equal to one. The aim of this paper is twofold. First, based upon considering a baseline group technology, we define a new base-group base-period PPMI where the DC always vanishes. Second, when more than two groups are analyzed, we show that under this framework the new base-group base-period PPMI, the new base-group CDMI and the components of both indexes satisfy the circular relation. Both results will make it easier for practitioners applying the two indexes in different economic sectors, regardless of how many groups are being compared.[:]
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Seminario CIO-Prometeo: Predicting chaotic dynamics with reservoir computing
Título: Predicting chaotic dynamics with reservoir computing Ponente: Ulrich Parlitz (Max Planck Institute for Dynamics and Self-Organization) Fecha y hora: 04/12/2024, 12:00 Inscripción online (cierre 30 minutos antes del inicio): https://forms.gle/dvaxftX815mttHvN9 Lugar: Sala de Seminarios del Edificio Torretamarit (CIO) y online Organizador: José María Amigó García Abstract: Reservoir computing utilizes the response of driven dynamical systems for predicting and analyzing time [...]
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