Descripción del proyecto
Estudiar los efectos de las redes bipartitas en mercados diferentes
Los mercados modernos son bipartitos, es decir, participan dos agentes distintos. El proyecto MARNET, financiado por el Consejo Europeo de Investigación, explorará los modelos de redes bipartitas para el mercado del trabajo y del matrimonio. Concretamente, el proyecto se centrará en dos aplicaciones económicas: la primera es la formación marital y la asignación de recursos en el seno del hogar; la segunda es la dinámica salarial y la movilidad laboral. El objetivo general del proyecto es mejorar nuestros conocimientos empíricos sobre los mercados estructurados como redes bipartitas, al proporcionar mejores modelos estadísticos de formación de redes y de los efectos de la estructura de la red en los resultados.
Objetivo
Research proposal MARNET aims at improving our empirical knowledge of markets structured as bipartite networks (all connections involve two different categories of agents) by providing better statistical models of network formation and the effects of the network structure on outcomes.
The use of random graphs, in which an edge between two nodes is the realization of a random draw, to model networked social, technological and biological systems has been subject to a novel and vigorous effort over the last twenty years. I will contribute to the knowledge corpus on networked economic systems with two separate research lines: first, in studying the interaction between social norms and marriage (monogamous and heterosexual); second, in studying how to improve models for linked employer-employee data.
The first research line aims at developing empirical models of marriage formation and intra-household resource allocation in order to better understand why different marriage markets (regions, countries, time periods) look different. My aim is to disentangle and quantify the sources of differentiation that relate to standard socio-economic variables, such as education and wages, from those that relate to culture and social norms. Various extensions will be considered to improve the design and realism of the model (aging and fertility, lots of heterogeneity, unobserved heterogeneity, housing and asset accumulation).
In the second research line, I will use recent advances in dynamic random graphs to model individual wage dynamics and the mobility of workers across firms. The main empirical objective is to quantify the degree of assortative matching of workers and firms in the labour market, and the relative contributions of worker and firm heterogeneity in wages. Several extensions will be considered (time-varying types, subjecting the network structure to pre-determined firm sizes, opening firm nodes by modelling wage dynamics and occupational mobility within firms).
Ámbito científico (EuroSciVoc)
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
- ciencias naturalesinformática y ciencias de la informacióningeniería del conocimiento
- ciencias socialessociologíademografíafecundidad
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Palabras clave
- networks
- bipartite graphs
- dynamic random graphs
- stochastic block models
- marriage markets
- social norms
- cultural identity
- within household resource allocation
- comparative study
- unobserved heterogeneity
- finite mixtures
- discrete mixtures
- hidden Markov models
- wage dynamics
- employment dynamics
- firm size
- linked employer-employee data
- matching
- wage dispersion
- sorting
Programa(s)
Régimen de financiación
ERC-ADG - Advanced GrantInstitución de acogida
75341 Paris
Francia