Search results for "ECs"

An Assessment of Carousel Value-Added Tax Fraud in The European Carbon Market

2017

AbstractThe literature on the European Union Emission Trading System (EU ETS) is by now very rich. Much is known about the efficiency, the effectiveness, and the environmental and distributional impacts of the EU ETS. Less, however, is known about the carousel value-added-tax (VAT) fraud phenomena in the European carbon market. This article evaluates the welfare effects of carousel VAT fraud in the EU ETS using a computable general equilibrium (CGE) analysis. According to our findings, if VAT fraud occurs in the EU ETS, the effects on welfare for the EU Member States are negative, with welfare loss significantly higher than the VAT fraud value. This article also discusses the reverse charge…

Modelling the labour market of minority ethnic groups

2012

Abstract This paper investigates the effects, in terms of labour and macroeconomic indicators, of closing the gap between the ethnic minority employment rate and the overall population rate using a computable general equilibrium modelling framework. The labour market has been integrated by indicators related to ethnicity, employment status and occupational class. The policy test has been designed for the UK. According to the results, the policy actions aimed to remove the barriers that contribute to the unemployment of the minority ethnic groups improve not only the employment and occupational status of these groups, but the effects are also positive in terms of aggregate employment, GDP, t…

KLUM@GTAP: Introducing Biophysical Aspects of Land-Use Decisions into a Computable General Equilibrium Model a Coupling Experiment

2008

In this paper, the global agricultural land use model Kleines Land Use Model is coupled to an extended version of the computable general equilibrium model (CGE) Global Trade Analysis Project in order to consistently assess the integrated impacts of climate change on global cropland allocation and its implication for economic development. The methodology is innovative as it introduces dynamic economic land-use decisions based also on the biophysical aspects of land into a state-of-the-art CGE; it further allows the projection of resulting changes in cropland patterns on a spatially more explicit level. A convergence test and illustrative future simulations underpin the robustness and potenti…

The erosion of personal norms and cognitive dissonance

2016

ABSTRACTIn this article, we study how personal norms and behaviour interact and evolve when agents try to reduce cognitive dissonance, and how this dynamic relates to Nash equilibrium. We find that in long run, agents play, and norms prescribe, Nash equilibrium in material payoffs (in the absence of norms). Our model captures two main facts: (i) norms erode along the play of the game; (ii) the erosion of norms depends on the set of possible economic choices, so that the policy maker can potentially influence them.

Unreliable predictions about COVID‐19 infections and hospitalizations make people worry: The case of Italy

2021

Influence Diagnostics for Meta-Analysis of Individual Patient Data Using Generalized Linear Mixed Models

2014

In meta-analysis, generalized linear mixed models (GLMMs) are usually used when heterogeneity is present and individual patient data (IPD) are available, while accepting binary, discrete as well as continuous response variables. In the present paper some measures of influence diagnostics based on log-likelihood are suggested and discussed. A known measure is approximated to get a simpler form, for which the information matrix is no more necessary. The performance of the proposed measure is assessed through a diagnostic analysis on simulated data reproducing a possible meta-analytical context of IPD with influential outliers. The proposed measure is showed to work well and to have a form sim…

Projection Clustering Unfolding: A New Algorithm for Clustering Individuals or Items in a Preference Matrix

2020

In the framework of preference rankings, the interest can lie in clustering individuals or items in order to reduce the complexity of the preference space for an easier interpretation of collected data. The last years have seen a remarkable flowering of works about the use of decision tree for clustering preference vectors. As a matter of fact, decision trees are useful and intuitive, but they are very unstable: small perturbations bring big changes. This is the reason why it could be necessary to use more stable procedures in order to clustering ranking data. In this work, a Projection Clustering Unfolding (PCU) algorithm for preference data will be proposed in order to extract useful info…

The Holonic Production System: a Multi Agent Simulation Approach

2010

Today’s turbulent markets are facing unpredictable and sudden variations in demand. In this context, the Holonic Production System (HPS) seems to be able to overcome the operational and economic problems of traditional production systems. The HPS’ ability to adapt and react to business environment changes, whilst maintaining systemic synergies and coordination, leverage on its network organizational structure, assuring both flexibility and profitability. In this paper we study HPS experimentally, modeling holon-firms as agents. In our simulation, holon-firms interact both with each other and with the external environment without predetermined hierarchies and following their own aims and int…

A statistical monitoring approach for automotive on-board diagnostic systems

2007

The current generation of vehicle models are increasingly being equipped with on-board diagnostic (OBD) systems aimed at assessing the ‘state of health’ of important anti-pollution subsystems and components. In order to promptly diagnose and fix quality and reliability problems that may potentially affect such complex diagnostic systems, even during advanced development prior to mass production, some vehicle prototypes undergo a testing phase under realistic conditions of use (a mileage accumulation campaign). The aim of this work is to set up a statistical tool for improving the reliability of the OBD system by monitoring its operation during the mileage accumulation campaign of a new vehi…

“The Same Staff Can Be Enough”. Employers’ Resilience Strategies in Recruitment Decisions

2018

Studies on resilience have sprung from a need to understand the survival strategies of organizations when faced with the emergence of unexpected, potentially destructive and negative events in the lives of the organizations. This article, on the other hand, intends to highlight organizational resilience when confronted with unexpected positive events, seldom considered by such studies. This is the well-known macroeconomic phenomenon of the time lag between economic growth and labor demand at the moment that a regressive economic cycle is reversed. With which strategies do companies, in the face of such an event, transform a resilient attitude into real resilient behavior? Five strategies of…