Bijlsma Ineke
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Bijlsma Ineke has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Rolf van der Velden
Research Centre of Education and the Labour Market (ROA), University of Maastricht , P.O. Box 616, Maastricht 6200 MD
3 shared publications - Frank Cörvers
RS: GSBE MORSE
2 shared publications - Inge Hooijen
RS: GSBE Theme Learning and Work
2 shared publications - Poulissen Davey
RS: GSBE other - not theme-related research
2 shared publications Annemarie Kühn-Nelen
Research Centre for Educ and Labour Mark
1 shared publication- Didier Fouarge
RS: GSBE UM-BIC
1 shared publication
Latest Publications
- Open Access
- 1 June 2020
- Published by SAGE Publications in Journal of Official Statistics
- Vol. 36 (2) , 251-274
Estimating Literacy Levels at a Detailed Regional Level: an Application Using Dutch Data
Policy measures to combat low literacy are often targeted at municipalities or regions with low levels of literacy. However, current surveys on literacy do not contain enough observations at this level to allow for reliable estimates when using only direct estimation techniques. To provide more reliable results at a detailed regional level, alternative methods must be used. The aim of this article is to obtain literacy estimates at the municipality level using model-based small area estimation techniques in a hierarchical Bayesian framework. To do so, we link Dutch Labour Force Survey data to the most recent literacy survey available, that of the Programme for the International Assessment of Adult Competencies (PIAAC). We estimate the average literacy score, as well as the percentage of people with a low literacy level. Variance estimators for our small area predictions explicitly account for the imputation uncertainty in the PIAAC estimates. The proposed estimation method improves the precision of the area estimates, making it possible to break down the national figures by municipality.
- 1 June 2020
- Published by SAGE Publications in Journal of Official Statistics
- Vol. 36 (2) , 251-274
Open AccessEstimating Literacy Levels at a Detailed Regional Level: an Application Using Dutch Data
Policy measures to combat low literacy are often targeted at municipalities or regions with low levels of literacy. However, current surveys on literacy do not contain enough observations at this level to allow for reliable estimates when using only direct estimation techniques. To provide more reliable results at a detailed regional level, alternative methods must be used. The aim of this article is to obtain literacy estimates at the municipality level using model-based small area estimation techniques in a hierarchical Bayesian framework. To do so, we link Dutch Labour Force Survey data to the most recent literacy survey available, that of the Programme for the International Assessment of Adult Competencies (PIAAC). We estimate the average literacy score, as well as the percentage of people with a low literacy level. Variance estimators for our small area predictions explicitly account for the imputation uncertainty in the PIAAC estimates. The proposed estimation method improves the precision of the area estimates, making it possible to break down the national figures by municipality.
- Open Access
- 27 June 2018
- Published by Oxford University Press (OUP) in Oxford Economic Papers
- Vol. 71 (1) , 145-165
Effective skill: a new theoretical perspective on the relation between skills, skill use, mismatches, and wages
- 27 June 2018
- Published by Oxford University Press (OUP) in Oxford Economic Papers
- Vol. 71 (1) , 145-165
Open AccessEffective skill: a new theoretical perspective on the relation between skills, skill use, mismatches, and wages
- 13 October 2016
- Published by Oxford University Press (OUP) in Oxford Review of Economic Policy
- Vol. 32 (4) , 497-513
College wage premiums and skills: a cross-country analysis
Workers with a college degree earn substantially more than workers with no such degree. Using recent data from 22 OECD (Organization for Economic Cooperation and Development) countries, we estimate this college wage premium at 28 per cent for male full-time working employees, on average, ranging from 18 per cent in Sweden to 50 per cent in the Slovak Republic. This premium is largely explained by the higher skill levels of graduates from higher education combined with their use of these skills at work, as well as the match with job requirements for this skill proficiency and skill use. We find no effect of labour market institutions (e.g. the employment protection legislation or the coverage rate) on cross-country differences in the college wage premium. However, we find that cross-country variation in this premium is related to the relative supply of higher educated workers. Moreover, we find evidence that cross-country differences in the college wage premium are related to the degree to which educational credentials signal skills.
- 13 October 2016
- Published by Oxford University Press (OUP) in Oxford Review of Economic Policy
- Vol. 32 (4) , 497-513
College wage premiums and skills: a cross-country analysis
Workers with a college degree earn substantially more than workers with no such degree. Using recent data from 22 OECD (Organization for Economic Cooperation and Development) countries, we estimate this college wage premium at 28 per cent for male full-time working employees, on average, ranging from 18 per cent in Sweden to 50 per cent in the Slovak Republic. This premium is largely explained by the higher skill levels of graduates from higher education combined with their use of these skills at work, as well as the match with job requirements for this skill proficiency and skill use. We find no effect of labour market institutions (e.g. the employment protection legislation or the coverage rate) on cross-country differences in the college wage premium. However, we find that cross-country variation in this premium is related to the relative supply of higher educated workers. Moreover, we find evidence that cross-country differences in the college wage premium are related to the degree to which educational credentials signal skills.
- 1 June 2015
- Published by Amsterdam University Press in Tijdschrift voor Arbeidsvraagstukken
- Vol. 31 (2)
Winnaars en verliezers op de arbeidsmarkt 1996-2012
Boom Lemma tijdschriften is een online tijdschriftenplatform van Boom uitgevers Den Haag (Boom Juridische uitgevers, Boom Lemma uitgevers en Eleven International publishing)
- 1 June 2015
- Published by Amsterdam University Press in Tijdschrift voor Arbeidsvraagstukken
- Vol. 31 (2)
Winnaars en verliezers op de arbeidsmarkt 1996-2012
Boom Lemma tijdschriften is een online tijdschriftenplatform van Boom uitgevers Den Haag (Boom Juridische uitgevers, Boom Lemma uitgevers en Eleven International publishing)