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Publications

To promote transparency and provide information, the Federal Planning Bureau regularly publishes the methods and results of its works. The publications are organised in different series, such as Outlooks, Working Papers and Planning Papers. Some reports can be consulted here, along with the Short Term Update newsletters that were published until 2015. You can search our publications by theme, publication type, author and year.

Documents (205)

2020

2019

2018

  • Non-take-up of employers' social security contributions cuts: the case of the "first recruitments" measure 30/04/2018

    The ‘first recruitments’ measure aims at supporting job creation in new and small firms through a reduction in employers' social security contributions. However, part of the eligible employers does not claim this reduction. Using administrative data from the National Social Security Office, we seek to quantify this phenomenon, which may bias the intended effect of the measure, and to identify profiles of non-take-up.

    Working Papers - Working Paper 06-18  Publication(fr), Publicatie(nl),

  • Removing youth sub-minimum wage rates in Belgium: did it affect youth employment? 16/03/2018

    Between April 2013 and January 2015, youth sub-minimum wage rates were repealed in Belgium.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.

    Working Papers - Working Paper 04-18  Publication(en),

2017

  • Modelling unobserved heterogeneity in distribution - Finite mixtures of the Johnson family of distributions 31/08/2017

    This paper proposes a new model to account for unobserved heterogeneity in empirical modelling. The model extends the well-known Finite Mixture (or Latent Class) Model by using the Johnson family of distributions for the component densities. Due to the great variety of distributional shapes that can be assumed by the Johnson family, the method does not impose the usual a priori assumptions regarding the type of densities that are mixed.

    Working Papers - Working Paper 14-17  Publication(en),

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