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Advisor(s)
Abstract(s)
This paper investigates the earnings effects of training in the Portuguese labour
market. We use the Portuguese Labour Force Survey to classify training according to multiple criteria, including providing institution, purpose, duration, and content of the training activity. First, we establish some stylised facts about
the extent and determinants of different types of training. We find that there are
major differences in training participation across groups, with elder, low educated workers participating substantially less. Second, we measure the wage effects of training. We find that in Portugal returns to training are large and significant. The estimated coefficients are about 12% in the case of men and 37% in the case of women. We show that discriminating between gender,
education level, experience, the public and the private sector, and industrial
activity reveals important differences across categories of workers. Workers
with low qualifications and long professional experience earn larger returns. On average, women receive larger returns than men, though they are subject to
greater variation across education and experience groups. The average effect
of training is similar in the private sector and in the public sector. Experience in
the private sector and education in the public sector are key determinants of the
returns to training. Further, training to improve current skills and training in a
firm attract largest returns. Third, the paper investigates whether and to what
extent training participation affects the probability of entering and leaving
unemployment. We find that being trained does not affect significantly the
transition probabilities.
Description
Keywords
Returns to Training Selection Bias Logistic Regression