Results 11 to 20 of about 1,398,502 (219)
SSRN Electronic Journal, 2022 We study the feasibility and profitability of predation in a dynamic environment, using a parsimonious infinite-horizon, complete information setting in which an incumbent repeatedly faces potential entry. When a rival enters, the incumbent chooses whether to accommodate or predate it; the entrant then decides whether to stay or exit.
Rey, Patrick +2 more
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A Dynamic Model of Commutes [PDF]
Environment and Planning A: Economy and Space, 2005 This paper studies the interaction between commuting, job mobility, and housing mobility. Many conventional models assume that the employment location has priority over the residential location and that the latter is adapted to the former. This implies that commutes which start with a job change will often be short lived because of a change in ...
Jan Rouwendal, Arno van der Vlist
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Dynamical reduction models [PDF]
Physics Reports, 2003 The report presents an exhaustive review of the recent attempt to overcome the difficulties that standard quantum mechanics meets in accounting for the measurement (or macro-objectification) problem, an attempt based on the consideration of nonlinear and stochastic modifications of the Schroedinger equation.
GianCarlo Ghirardi +4 more
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Modeling Earnings Dynamics [PDF]
SSRN Electronic Journal, 2009 In this paper we use indirect inference to estimate a joint model of earnings, employment, job changes, wage rates, and work hours over a career. Our model incorporates duration dependence in several variables, multiple sources of unobserved heterogeneity, job-specific error components in both wages and hours, and measurement error. We use the model to
Ivan Vidangos +2 more
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A dynamic model of settlement [PDF]
Journal of Economic Theory, 2008 Abstract We investigate the role of settlement in a dynamic model of a payment system where the ability of participants to perform certain welfare-improving transactions is subject to random and unobservable shocks. In the absence of settlement, the full information first-best allocation cannot be supported due to incentive constraints.
Koeppl, Thorsten Volker +2 more
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Modelling the dynamics of biosystems [PDF]
Briefings in Bioinformatics, 2004 The need for a more formal handling of biological information processing with stochastic and mobile process algebras is addressed. Biology can benefit this approach, yielding a better understanding of behavioural properties of cells, and computer science can benefit this approach, obtaining new computational models inspired by nature.
Priami, Corrado, Quaglia, Paola
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Dynamical affinity in opinion dynamics modeling [PDF]
Physical Review E, 2007 We here propose a model to simulate the process of opinion formation, which accounts for the mutual affinity between interacting agents. Opinion and affinity evolve self-consistently, manifesting a highly non trivial interplay. A continuous transition is found between single and multiple opinion states.
BAGNOLI, FRANCO +4 more
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Magnetic Resonance in Medicine, 2000 Most statistical methods for assessing activated voxels in fMRI experiments are based on correlation or regression analysis. In this context the main assumptions are that the baseline can be described by a few known basis-functions or variables and that the effect of the stimulus, i.e. the activation, stays constant over time. As these assumptions are
Dorothee P. Auer +2 more
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On a Dynamical Model of Glasses [PDF]
Journal de Physique I, 1995 We analyze a simple dynamical model of glasses, based on the idea that each particle is trapped in a local potential well, which itself evolves due to hopping of neighbouring particles. The glass transition is signalled by the fact that the equilibrium distribution ceases to be normalisable, and dynamics becomes non-stationary.
Bouchaud, Jean-Philippe +2 more
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Econometrics and Statistics, 2023 Score-driven models provide a solution to the problem of modelling time series when the observations are subject to censoring and location and/or scale may change over time. The method applies to generalized-t and EGB2 distributions, as well as to the normal distribution.
Andew Harvey, Yin Liao
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