A Spanish continuous voluntary web survey: sample bias, weighting and efficiency
Revista española de investigaciones sociológicas
Faculty of Economics and Business (FEB)
Faculty of Social and Behavioural Sciences (FMG)
Amsterdam School of Economics Research Institute (ASE-RI)
Amsterdam Institute for Social Science Research (AISSR)
Using micro data from a continuous volunteer web survey (CVWS), the WageIndicator (WI), this paper firstly analyses the type
of bias that such a survey method produces. Secondly, following a «modelbased » approach, two alternative data weighting methodologies
are implemented. Thirdly, in order to test whether weighting corrects the bias, thus making it possible to obtain conclusions
applicable to the whole labour force, the efficiency of the weighting methodologies is evaluated. Since the WageIndicator
is a labour market oriented survey, weighting efficiency is evaluated by calculating mean salaries, inequality indices and
salary regressions before and after applying weights to WI data, and by comparing the results obtained with those achieved
using the Structure of Earnings Survey (SES), a wage survey run by the Spanish National Statistics Institute. It is concluded
that, after weighting, estimated statistics and parameters move in the right direction.
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let
the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible
and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands.
You will be contacted as soon as possible.