Search results for " Utility."

showing 10 items of 71 documents

Il “blocco” dei licenziamenti: profili storici e sistematici

2020

Il saggio analizza le recenti disposizioni di legge che hanno introdotto il blocco temporaneo dei licenziamenti economici come misura congiunturale per fronteggiare l’emergenza pandemica. Nella prima parte l’articolo ricostruisce le analoghe misure vigenti in Italia nell’immediato do-poguerra; nella seconda sostiene come il blocco sia conforme al principio di ragionevolezza, in quanto tutela il diritto fondamentale al lavoro senza ……..compromettere totalmente la libera iniziativa economica privata, in quanto accompagnato da misure di vario genere a favore delle imprese (sgravi fiscali, sospensione di pagamenti…). The essay analyses the recent legislative measures introducing the block of ec…

Italy pandemic emergency block of dismissals social utility.Italia emergenza pandemica blocco dei licenziamenti utilità sociale.Settore IUS/07 - Diritto Del Lavoro
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Does Promoting Homeownership Always Damage Labour Market Performances?

2018

In this paper we analyse the link between homeownership and various aggregate and individual labour market outcomes. Our aim is to investigate the likely consequences of public policies that promote homeownership. To this end, we develop a circular firm-worker matching model with Nash-bargained wage setting and free market entry. Homeowners are assumed to be less mobile than tenants and to bear higher mobility costs. Our numerical exercises show that tenants usually have lower unemployment rates and lower wage rates than homeowners. Importantly, workersʼ performances do not necessarily improve following an increase in the proportion of homeowners. The latter crucially depends on the relativ…

Matching (statistics)Labour economicsRelative utilitymedia_common.quotation_subjectUnemploymentWageEconomicsUnemployment ratePublic policyFree marketmedia_commonSSRN Electronic Journal
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Dynamic Coalitional TU Games: Distributed Bargaining among Players' Neighbors

2013

We consider a sequence of transferable utility (TU) games where, at each time, the characteristic function is a random vector with realizations restricted to some set of values. The game differs from other ones in the literature on dynamic, stochastic or interval valued TU games as it combines dynamics of the game with an allocation protocol for the players that dynamically interact with each other. The protocol is an iterative and decentralized algorithm that offers a paradigmatic mathematical description of negotiation and bargaining processes. The first part of the paper contributes to the definition of a robust (coalitional) TU game and the development of a distributed bargaining protoc…

Mathematical optimizationComputer Science::Computer Science and Game TheorySequential gameComputer scienceCombinatorial game theoryExample of a game without a valueFOS: MathematicsSimultaneous gameElectrical and Electronic EngineeringTransferable utilityMathematics - Optimization and ControlGame theoryBondareva–Shapley theoremBargaining problemNon-cooperative gameUtility theoryStochastic gameComputingMilieux_PERSONALCOMPUTINGScreening gameComputer Science ApplicationsBargaining processCore (game theory)Control and Systems EngineeringOptimization and Control (math.OC)Repeated gameSettore MAT/09 - Ricerca OperativaoptimizationMathematical economicsGame theory
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Continuous-time portfolio optimization under terminal wealth constraints

1995

Typically portfolio analysis is based on the expected utility or the mean-variance approach. Although the expected utility approach is the more general one, practitioners still appreciate the mean-variance approach. We give a common framework including both types of selection criteria as special cases by considering portfolio problems with terminal wealth constraints. Moreover, we propose a solution method for such constrained problems.

Mathematical optimizationComputer scienceGeneral MathematicsConstrained optimizationManagement Science and Operations ResearchReplicating portfolioPortfolioPost-modern portfolio theoryProject portfolio managementPortfolio optimizationMathematical economicsSoftwareExpected utility hypothesisModern portfolio theoryZOR Zeitschrift f�r Operations Research Methods and Models of Operations Research
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Optimal control of option portfolios and applications

1999

We present an expected utility maximisation framework for optimally controlling a portfolio of options. By combining the replication approach to option pricing with ideas of the martingale approach to (stock) portfolio optimisation we arrive at an explicit solution of the option portfolio problem. Its characteristics are illustrated by some specific examples. As an application, we calculate an optimal option and consumption strategy for an investor who is obliged to hold a stock position until the time horizon.

Mathematical optimizationComputer scienceMathematics::Optimization and ControlTime horizonManagement Science and Operations ResearchOptimal controlMartingale (betting system)Computer Science::Computational Engineering Finance and ScienceValuation of optionsBusiness Management and Accounting (miscellaneous)PortfolioPosition (finance)Expected utility hypothesisStock (geology)OR Spectrum
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Modelling agricultural risk in a large scale positive mathematical programming model

2020

International audience; Mathematical programming has been extensively used to account for risk in farmers' decision making. The recent development of the positive mathematical programming (PMP) has renewed the need to incorporate risk in a more robust and flexible way. Most of the existing PMP-risk models have been tested at farm-type level and for a very limited sample of farms. This paper presents and tests a novel methodology for modelling risk at individual farm level in a large scale model, called individual farm model for common agricultural policy analysis (IFM-CAP). Results show a clear trade-off between including and excluding the risk specification. Albeit both alternatives provid…

Mathematical optimizationEconomics and EconometricsScale (ratio)Computer scienceComputationprogrammation mathématique positive020209 energyexpected utilitySample (statistics)highest posterior density02 engineering and technologypolitique agricole communerisk and uncertainty0202 electrical engineering electronic engineering information engineeringEuropean common agricultural policyExpected utility hypothesisagricultureEstimationrisque et incertitude2. Zero hungerbusiness.industry020208 electrical & electronic engineering[SHS.ECO]Humanities and Social Sciences/Economics and Finance16. Peace & justicemodèle de fermePMPComputer Science ApplicationsAgriculturebusinessCommon Agricultural PolicyScale modelpositive mathematical programmingInternational Journal of Computational Economics and Econometrics
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Solving the Discrete Multiple Criteria Problem using Convex Cones

1984

An interactive method employing pairwise comparisons of attainable solutions is developed for solving the discrete, deterministic multiple criteria problem assuming a single decision maker who has an implicit quasi-concave increasing utility (or value) function. The method chooses an arbitrary set of positive multipliers to generate a proxy composite linear objective function which is then maximized over the set of solutions. The maximizing solution is compared with several solutions using pairwise judgments asked of the decision maker. Responses are used to eliminate alternatives using convex cones based on expressed preferences, and then a new set of weights is found that satisfies the i…

Mathematical optimizationStrategy and ManagementRegular polygonMultiple criteriaPairwise comparisonManagement Science and Operations ResearchDecision makerProxy (statistics)Mathematical proofMathematicsDecision analysismultiattribute programming: multiple criteria convex cones [decision analysis utility/preference]Management Science
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Optimal Local Routing Strategies for Community Structured Time Varying Communication Networks

2017

International audience; In time varying data communication networks (TVCN), traffic congestion, system utility maximization and network performance enhancement are the prominent issues. All these issues can be resolved either by optimizing the network structure or by selecting efficient routing approaches. In this paper, we focus on the design of a time varying network model and propose an algorithm to find efficient user route in this network. Centrality plays a very important role in finding congestion free routes. Indeed, the more a node is central, the more it can be congested by the flow coming from or going to its neighborhood. For that reason, classically, routes are chosen such that…

Mathematical optimization[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Computer scienceNode (networking)Distributed computing[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Community structure01 natural sciencesTelecommunications network010305 fluids & plasmasCommunity structure[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Data communication networks modelTraffic congestionBetweenness centrality0103 physical sciencesNetwork performanceSystem utilityRouting (electronic design automation)010306 general physicsCentralityCloseness and betweenness centrality
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Obtaining the best value for money in adaptive sequential estimation

2010

Abstract In [Kujala, J. V., Richardson, U., & Lyytinen, H. (2010). A Bayesian-optimal principle for learner-friendly adaptation in learning games. Journal of Mathematical Psychology , 54(2), 247–255], we considered an extension of the conventional Bayesian adaptive estimation framework to situations where each observable variable is associated with a certain random cost of observation. We proposed an algorithm that chooses each placement by maximizing the expected gain in utility divided by the expected cost. In this paper, we formally justify this placement rule as an asymptotically optimal solution to the problem of maximizing the expected utility of an experiment that terminates when the…

Mathematical psychologySequential estimationMathematical optimizationTotal costActive learning (machine learning)Computer scienceApplied MathematicsDecision theory05 social sciencesBayesian probability050105 experimental psychology03 medical and health sciences0302 clinical medicineAsymptotically optimal algorithm0501 psychology and cognitive sciences030217 neurology & neurosurgeryGeneral PsychologyExpected utility hypothesisJournal of Mathematical Psychology
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Neoclassical Growth, Environment and Technological Change: The Environmental Kuznets Curve

2009

The paper investigates socially optimal patterns of economic growth and environmental quality in a neoclassical growth model with endogenous technological progress. In the model, the environmental quality affects positively not only to utility but also to production. However, cleaner technologies can be used in the economy whether a part of the output is used in environmentally oriented R&D. In this framework, if the initial level of capital is low then the shadow price of a cleaner technology is low relative to the cost of developing it given by the marginal utility of consumption and it is not worth investing in R&D. Thus, there will be a first stage of growth based only on the accumulati…

MicroeconomicsEconomics and EconometricsGeneral EnergyCapital accumulationKuznets curveTechnological changeShadow priceEconomicsProduction (economics)Investment (macroeconomics)Marginal utilityEnvironmental qualityThe Energy Journal
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