Probabilistic Models of Job Placement and Positioning for Students with a Career in Chile

HANNS ANIBAL DE LA FUENTE MELLA, Cecilia Gallegos Muñoz, Estela Rodríguez Quezada, Camila Inostroza Ocares, Mariana Lagos Pérez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The purpose of this research is to determine the factors that affect the insertion and job positioning of women professional graduates of the public accountant and auditor of the Universidad del Bío-Bío, Chile. The data were obtained through a questionnaire applied to the graduates. Given the dichotomous nature of the dependent variable, logistic regression models are used, for which linear probability models will be used. Three different models are tested for the endogenous variables: average time it takes to find your first job; liquid remuneration of the graduate and the current position of the graduate. The results indicate that the variable that most affects the labor insertion is the recommendation of third parties, meanwhile, that for the job positioning is the postgraduate.

Original languageEnglish
Title of host publicationAdvances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2020 Virtual Conferences on Human Factors, Business Management and Society, and Human Factors in Management and Leadership
EditorsJussi Ilari Kantola, Salman Nazir, Vesa Salminen
PublisherSpringer
Pages516-522
Number of pages7
ISBN (Print)9783030507909
DOIs
StatePublished - 2020
Externally publishedYes
EventAHFE Virtual Conference on Human Factors, Business Management and Society, and the International Conference on Management and Leadership, 2020 - San Diego, United States
Duration: 16 Jul 202020 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1209 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conference on Human Factors, Business Management and Society, and the International Conference on Management and Leadership, 2020
CountryUnited States
CitySan Diego
Period16/07/2020/07/20

Keywords

  • Accounting professionals
  • Econometric modeling
  • Insertion and job positioning

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