Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Along with labor market rigidity and barriers to occupational mobility, educational mismatch is one of the most costly factors in labor markets. The relationship between educational mismatch and the labor market is increasingly a major concern of education and labor economists. This phenomenon, which was once evident in developed countries, is now more evident in developing countries, particularly in Cameroon. It is in light of this disturbing reality that this study seeks to understand the effect of educational mismatches on the transition of graduates to the labor market in Cameroon. Thus, we apply the “Competing risk regression” method to data from the fourth Cameroonian Household Survey (ECAM IV). The general result of this analysis is that mismatch risks increase the duration of unemployment, i.e., they negatively impact the transition of graduates to the labor market. Taking into account the endogeneity of mismatches, the econometric results show that educational mismatch risks increase the duration of unemployment.
Dabo Joseph Doubla. 2026. \u201cInadéquations Éducatives Et Transition Vers Le Marché Du Travail Au Cameroun\u201d. Global Journal of Human-Social Science - G: Linguistics & Education GJHSS-G Volume 22 (GJHSS Volume 22 Issue G1): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
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Neural Networks and Rules-based Systems used to Find Rational and
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Along with labor market rigidity and barriers to occupational mobility, educational mismatch is one of the most costly factors in labor markets. The relationship between educational mismatch and the labor market is increasingly a major concern of education and labor economists. This phenomenon, which was once evident in developed countries, is now more evident in developing countries, particularly in Cameroon. It is in light of this disturbing reality that this study seeks to understand the effect of educational mismatches on the transition of graduates to the labor market in Cameroon. Thus, we apply the “Competing risk regression” method to data from the fourth Cameroonian Household Survey (ECAM IV). The general result of this analysis is that mismatch risks increase the duration of unemployment, i.e., they negatively impact the transition of graduates to the labor market. Taking into account the endogeneity of mismatches, the econometric results show that educational mismatch risks increase the duration of unemployment.
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