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AbstractThe concept of quality of employment is a helpful response to different conceptualisations and typologies’ failures in the analysis of the diversity of labour institutions in Latin America. The authors with the help of an original methodology combining socio-economic dimensions in a Multiple Correspondence Analysis (MCA), construct a multidimensional indicator. Analysing individual data coming from a household survey in Bogotá for 2013, they found a clear polarization in the quality of employment distribution, transcending the classical typologies. Finally, this original and contextualized measure seems to be useful to describe precisely the complexity of the labour market institutions.

Finite Mixture Models (FMM) Applied to the Segmentation of the Bogota Labor Market.The purpose of this article is to demonstrate that the semi-parametric approach with Finite Mixture Models (FMM) is a real alternative to clustering procedures to explain social phenomena. We present the general framework of FMM before detailing the three stages of Finite Mixture Regression Models (FMRM). An empirical application of this new method is used to analyze the segmentation between formal and informal economy on the labor market in Bogota.