Examinando por Materia "Labor Market"

Mostrando 1 - 4 de 4
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    Labour Supply Effects of Conditional Transfers: Analyzing the Dominican Republic's Solidarity Program
    (Universidad EAFIT, 2013-04-12) Canavire Bacarreza, Gustavo; Vasquez Ruiz, Harold
    This paper studies the impact of the conditional cash transfer program Solidaridad on changes in the labor market of the Dominican Republic based on statistical data from the Evaluation of the Social Security Survey 2010. The estimation methodology is based on matching techniques, which can discern the impact on both benene.t-receiving and non-benefit-receiving households. The results show a negative but very small impact of the different components of the program on labor market indicators, especially for the components related to children. However, the estimates show some heterogeneity in the effects on the most vulnerable sectors of the population.
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    Sistema multi-agente para la preselección de candidatos en vacantes públicas de empleo utilizando inteligencia artificial generativa
    (Universidad EAFIT, 2025-10-22) Blandón Londoño, Cristian Mauricio; Álvarez Barrera, Claudia Patricia; Martínez Vargas, Juan David
    Historically, recruitment processes have been carried out manually. In such processes, candidates go through a series of filters that vary depending on the specific requirements of each vacancy. As these procedures are not standardized, their duration can be extended, leading to an increase in unfilled positions and, consequently, negatively impacting organizational competitiveness. Identifying the ideal candidate for a job vacancy is a task that demands both time and resources. Today, this represents a significant challenge for organizations within the Human Resources sector, where each day spent searching for the right talent translates into operational costs. As a result, delays in recruitment activities directly affect the achievement of strategic organizational goals. Despite the growing adoption of Applicant Tracking Systems (ATS), these tools often face semantic limitations and do not easily adapt to local contexts—especially in countries like Colombia, where a significant portion of the population is employed informally. This reality hinders not only the objective assessment of candidate suitability but also increases the likelihood of evaluative biases. Recent studies have begun exploring the integration of multi-agent architectures with Large Language Models (LLMs) to automate pre-screening processes. In line with this, the present project proposes the implementation of a multi-agent system for candidate evaluation. By combining Natural Language Processing (NLP) techniques with LLMs, the system aims to analyze applicant and job posting data to support human resources professionals in determining candidate-job fit. The system will be designed to optimize evaluation procedures in recruitment, with the goal of reducing the average time required for candidate assessment and selection. Furthermore, implementation seeks to minimize manual operations and mitigate bias in the evaluation process, thereby contributing to the sustainable development of human capital. It is anticipated that this solution will increase the efficiency of recruitment workflows and promote greater alignment between the skills demanded by employers and those offered in the labor market. This, in turn, is expected to benefit both employers and job seekers, and indirectly support efforts to bridge the skills gap in the Colombian labor market—particularly in a context characterized by high levels of informality—by establishing fair and competency-based evaluation criteria.
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    The effect of a labor supply shock on factors productivity : the case of a venezuelan migration in Colombia
    (Universidad EAFIT, 2020) Martínez Moya, Diego Armando; Muñoz Mora, Juan Carlos
    This document analyses the potential effects of a labor supply shock (Venezuelan immigration) on factors productivity in Colombia. Using aggregate data on employment and output in the Colombian departments, we nd that under the 2014-2018 time period, Venezuelan immigration has signi cant effects on multi-factor productivity and other product-related variables in the Colombian departments. The empirical strategy used shows that the mechanism of transmission of the effect is the skill bias of Venezuelan immigrants.
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    Valor agregado y educación técnica y tecnológica en Colombia
    (Universidad EAFIT, 2019) García Pulgarín, Luis Miguel; Ospina, Mónica Patricia