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Between April 2013 and January 2015, youth sub-minimum wage rates were repealed in Belgium. We identify the impact of the reform by comparing outcomes before and after the withdrawal, across eligible and ineligible categories of young workers, and across abolishing and not abolishing joint committees. Our results show that the reform had a small positive impact on wages and on retention rates and a comparable but negative impact on accession rates.
This article presents a traditional shift-share decomposition to identify contributions of three effects on the rise in the hourly wage cost in Belgium: changes in the industry composition of total hours worked (composition effect), changes in the structure of employment in terms of categories of workers (employment structure effect), and increases in the hourly wage cost of these individual categories (wage effect).
In the national accounts labour inputs are collected by industry. Homogenising means transforming labour inputs by industry into labour inputs by product. This homogenisation is done using mathematical techniques. The paper compares the results for two wellknown techniques (product technology and industry technology) and discusses the effects of homogenisation on Belgian data for the years 2000 and 2005. Labour inputs are detailed by gender and education level. An additional distinction is made between employees and self-employed. The paper proposes a solution for the negatives problem that arises when applying the product technology model in the case of self-employed workers. It also assesses the plausibility of results by showing the effects of homogenising on wage costs and value added per head as well as on the ranking of industries by education level. The product and the industry technology model yield significantly different results, most particularly for the employment use of wholesale and retail trade. The results of the product technology model are judged to be most plausible.
The present paper computes cumulative employment generated by the Belgian environmental industry. Relying on Belgian input-output tables for the year 2000 and on detailed employment data (SAM sub-matrix), we investigate the patterns of the employment in the environmental industry, by considering the worker types differentiated by gender, educational attainment or a combination of these characteristics. The employment multiplier analysis of environmental employment reveals some interesting differences between employment of the overall economy and environmental employment for the level of education as well as for the gender type.