Tijdens, K.G., & Kabina, T. (2018). Codebook WageIndicator Salary Check 2016. Amsterdam: WageIndicator Data Report, June 2018

Tijdens, K.G., & Kabina, T. (2018). Codebook WageIndicator Salary Check 2016. Amsterdam: WageIndicator Data Report, June 2018 This document contains the variable and value information of the 2016 dataset of the WageIndicator Salary Check, a web tool for web visitors of WageIndicator to check their wages against peers, for the version delivered to the IZA data archive.

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ABSTRACT

This document contains the variable and value information of the 2016 dataset of the WageIndicator Salary Check , a web tool for web visitors of WageIndicator to check their wages against peers, for the version delivered to the IZA data archive . The value labels of the two long-list variables in the Check are not included in this document, but the label sets are separately available from the IZA data archive. This applies to the variables measuring the national educational categories and the regional categories. The IZA Salary Check dataset comprises all data collected in the Salary Check, apart from the variable concerning the detailed job title. The job title is recoded into the ISCO-08 occupational classification at 4-digit level. This variable is included in the dataset. The Salary Check data can be merged with the Salary Survey data, because the variable names and value labels are identical. The Salary Check data has approx. 2.5 times more observations than the Salary Survey, but it has only one fifth of the variables, and it is collected by inviting visitors to the web tool, not to the survey. The most reliable wage data can be found by using a filter REASON_SAL = 1, thereby selecting only those visitors who have checked their own earnings, not those who checked for another person or who were looking for a job.