Worker flows, labor market outcomes, and agent-based modeling

Project financed by UEFISCDI, under programme Postdoctoral research

grant agreement PN-III-P1-1.1-PD-2019-1180

project hosted by Star-UBB Institute in the Business Informatics Research Center

This project is designed around the study of labor market dynamics characterized by the full set of flows of workers between firms in large, realistic, labor markets such as entire domestic economies, taking into consideration both theoretical and empirical frameworks. We are interested in investigating labor market related topics, that can answer a set of questions of high-interest from scientific and socio-economic points of view. For this purpose we will focus on the detailed modeling of the flows of workers between firms, on constructing and characterizing the network of all those job flows, and on isolating the impact of the pattern of those flows on various worker and firm labor market outcomes. In this project, we consider an alternative for labor market investigation based on developments in agent-based modeling (ABM) and the advent of high-performance computing. The main innovation resides in the synergy between the state-of-the-art modeling tools used in microeconometrics with regard to large linked-employer-employee-data (LEED) and the Agent-Based Modeling and associated simulations techniques.

Research team

Principal investigator

Asist.dr. Valentina Ioana Cheregi

Scientific mentor

Prof.dr. Gheorghe Cosmin Silaghi

Research objectives

The overall goal of this project is to respond questions concerned with the (evolution of) worker or firms labor market output with the help of agent-based modeling, by constructing and simulating worker flows, based on calibration by means of massive national or large regional LEED datasets. In particular, we consider the following specific project objectives:

  1. To construct, for detailed study, a full-fledged, synthetic network of worker-firm labor market flows typical of national (or large-regional) economies, by means of massive, computationally-intensive, simulation of agent-based models – directly calibrated on the most relevant, very detailed, labor market empirical features from existing linked-employer-employee data.

  2. To apply our fully-fledged network of labor flows and associated ABM framework to study one very researched theme in empirical labor studies nowadays, namely whether moving to firms which already has employed former co-worker of yours is increasing your salary and/or is offering a greater job protection, compared to moving to firms where you do not know anyone from previous workplaces, hence you could not have been refereed for those jobs.

  3. To reveal the power (or the weaknesses) of agent-based modeling by contrasting the obtained results with those that would come out by applying standard econometric tools, for instance those used in structural labor econometrics.


ARTICLE: Is labor matching effectiveness dependent on education level, age or gender? A Beveridge curve approach

author: Valentina Ioana Cheregi

-presented at: Cluj Economics and Business Conference, Third Edition, 7-9 December 2023 (organised by: Babes-Bolyai University, Faculty of Economics and Business Administration, Cluj-Napoca, Romania)

ARTICLE: The Synergy between ABM and Labor Market Dynamics

authors: Valentina Ioana Cheregi and Gheorghe Cosmin Silaghi

- presented at: Globalization and Higher Education in Economics and Business Administration (GEBA 2023), Fifth Edition, 19-21 October 2023 (organized by: Alexandru Ioan Cuza University of Iasi, Faculty of Economics and Business Administration)

- presentation Slides


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