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Estimating Literacy Levels at a Detailed Regional Level: an Application Using Dutch Data
[journal article]
Abstract 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 reli... view more
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.... view less
Keywords
literacy; illiteracy; municipality; region; estimation; method; Bayesian statistics; Netherlands
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
Literacy; basic skills; small area estimation; Programme for the International Assessment of Adult Competencies (PIAAC); Labor Force Survey (LFS)
Document language
English
Publication Year
2020
Page/Pages
p. 251-274
Journal
Journal of Official Statistics, 36 (2020) 2
DOI
https://doi.org/10.2478/jos-2020-0014
ISSN
2001-7367
Status
Published Version; peer reviewed
Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0