Productivity growth and biased technical change in French higher education
This paper analyses the nature of technical change in the French labour market. Data Envelopment Analysis (DEA) is adopted to investigate productivity change in a sample of higher education leavers over the period 1999 and 2004. In a first step, the Luenberger Productivity Indicator (LPI) is used to estimate and to decompose productivity change. Following LPI, a better productivity is found for the workers in Paris and the well-qualified occupations in France. In analysing the nature of the technical change by the concept of parallel neutrality, technical progress seems to have influenced all professions. In particular, biased inputs of human capital component benefit more for the well qualified professions with an upper increase of the efficiency scores for executives and teachers. Furthermore, some evidences show the key role of “learning by doing” in the worker's adaptation to technical change. Policy implications are then derived from our results.
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