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Evidence from developed country data suggests that cognitive and non-cognitive skills contribute to improved labor market outcomes. This paper tests this hypothesis in a developing country by using an individual-level data set from Peru that incorporates modules to measure cognitive and non-cognitive skills. The paper estimates a structural latent model with unobserved heterogeneity to capture full ability rather than just measured skill. It also applies standard ordinary least squares techniques for comparison. The analysis confirms that cognitive and non-cognitive skills are positively correlated with a range of labor market outcomes in Peru. In particular, cognitive skills positively correlate with wages and the probability of being a wage worker, white-collar, and formal worker, with verbal fluency and numeric ability playing particularly strong roles. The results are robust to methodology. The patterns are less uniform for non-cognitive skills. For instance, perseverance of effort (grit) emerges strongly for most outcomes regardless of methodology. However, plasticity-an aggregation of openness to experience and emotional stability-is only correlated with employment, and only when using the structural latent model. The ordinary least squares method also finds that the disaggregated non-cognitive skills of kindness, cooperation, emotional stability, and openness to experience emerge significantly, mostly for the wage estimates. The different results derived from the ordinary least squares and the structural model with latent skills suggest strong measurement bias in most non-cognitive skills measurement. These findings, although only correlational because of the use of a single cross-section, suggest that recent efforts by the Peruvian government to incorporate non-cognitive skill development into the school curriculum are justified.

Access & Equity in Basic Education --- Cognitive --- Education --- Education for All --- Educational Sciences --- Effective Schools & Teachers --- Employment --- Latent Skills --- Non-Cognitive Skills --- Primary Education --- Schooling --- Structural Model --- Wages

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This paper examines the relationship between individuals' skills and labor market outcomes for the working-age population of Colombia's urban areas. Using a 2012 unique household survey, the paper finds that cognitive skills (aptitudes to perform mental tasks such as comprehension or reasoning) and socio-emotional skills (personality traits and behaviors) matter for favorable labor market outcomes in the Colombian context, although they have distinct roles. Cognitive skills are greatly associated with higher earnings and holding a formal job or a high-qualified occupation. By contrast, socio-emotional skills appear to have little direct influence on these outcomes, but play a stronger role in labor market participation. Both types of skills, especially cognitive skills, are largely associated with pursuing tertiary education. The analysis applies standard econometric techniques as a benchmark and structural estimations to correct for the measurement error of skill constructs.

Cognitive skills --- Education --- Education for all --- Educational sciences --- Effective schools & teachers --- Labor market outcomes --- Labor markets --- Latent skills --- Personality traits --- Primary education --- Returns to skills --- Social protections and labor --- Socio-emotional skills --- Unobserved heterogeneity