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Results for criterions: Keyword: Dynamic Modify search criterions 3 matches Title Methodological reflexions on non structural modelling: an approach by VAR models and their dynamic extensions Author MEURIOT Véronique Keywords Causality, Cointegration, Dynamic, Methodology, Non structural modelling, VAR Modelling Topics Dynamical Systems, Methodology, Modelling, Regression, Statistics Abstract Considering the dynamics in economic systems is a central element of the causality concept in economics. Since the Eighties, econometrics seems to be devoted to an important multidirectional investigation, brought about by the acknowled-gement of the relative failure of the estimated macroeconometric models in the Seventies. We propose an epistemological reflexion on the interest and the legitimacy of the evolution of contemporary macroeconometrics, in particular in the field of non structural modelling. It refers to the possible extensions of the models VAR but also to the new macroeconometric methods. Number 182, Summer 2008 Language   French Read the article Title Building models for social space: neighourhood-based models for social networks and affiliation structures Author PATTISON Philippa, ROBINS Garry Keywords Affiliation, Dynamic, Neighbourhood, Random graph, Social space Topics Graphs, Modelling, Networks, Probabilities, Process, Social Sciences, Stochastic Processes Abstract We propose a quantitative relational framework for social space. We suggest that social space cannot be specified simply in geographical, network or sociocultural terms but, rather, requires an understanding of the interdependence of relationships among different types of social entities, such as persons, groups, sociocultural resources and places. We also suggest that social space cannot be regarded as fixed: unlike the Euclidean space of Newtonian mechanics, social space is constructed, at least in part, by the social processes that it supports. In the general stochastic relational framework that we propose, relationships among social entities are regarded as the fundamental elements of social space and observed relational entities are viewed as the outcome of processes that occur in overlapping local relational neighbourhoods. Each neighbourhood corresponds to a subset of possible relational entities and is conceived as a possible site of social interaction. We show how special cases of this framework yield hierarchies of models for social networks and for affiliation structures. We also sketch some next steps in the development of this framework. Number 168, Winter 2004, special issue: Social networks Language  English Read the article Title Explained Variation in dynamic network models Author SNIJDERS Tom A. B. Keywords Coefficient of determination, Cohort analysis, Complete network, Dynamic, Entropy, Explained variation Topics Entropy, Networks, Social Sciences, Stochastic Processes Abstract A measure for explained variation is proposed for stochastic actor-driven models for data on social networks. The measure is based on the entropy of the distribution of the choices made by the actors during the network evolution process. This measure can be helpful in the specification and interpretation of statistical models for longitudinal network data. Number 168, Winter 2004, special issue: Social networks Language  English Read the article Users rights : The entire journal is licensed under a Creative Commons license