LOONWIJZER database

WageIndicator Survey

The WageIndicator Survey is a continuous, multilingual, multi-country web-survey, conducted more than 60 countries since 2000. The web-survey generates cross sectional and longitudinal data which might provide data especially about wages, benefits, working hours, working conditions and industrial relations.
The survey has detailed questions about earnings, benefits, working conditions, employment contracts and training, as well as questions about education, occupation, industry and household characteristics.
For each country each, the questions have been translated. Country-specific translations and locally accepted terminology have been favored over literal translations. Multilingual countries employ multilingual questionnaires.

Research Focus:
The WageIndicator Survey aims to collect information on wages, working hours and working conditions to encourage cross-country comparisons, particularly a global view. As labour markets and wage setting processes vary across countries, country specific translations have been favoured over literal translations.
The WageIndicator Survey includes regularly extra survey questions for project targeting specific countries, for specific groups or about specific events. These projects usually address a specific audience (employees of a company, employees in an industry, readers of a magazine, members of a trade union or an occupational association, and alike). The data of the project questions are included in the dataset.
WageIndicator regularly undertakes face-to-face interviews of 1,000 – 2,000 individuals in the labour force in countries with low Internet access rates, for example in Indonesia (2010), Zambia (2010) Cambodia (2011).

Sample:
The target population of the WageIndicator is the labour force, that is, individuals in paid employment as well as job seekers. In addition to workers in formal dependent employment the survey aims to include apprentices, employers, own-account workers, freelancers, workers in family businesses, workers in the informal sector, unemployed workers, job seekers individuals who never had a job, as well as retired workers and housewifes school pupils or students with a job on the side and persons performing voluntary work.
The WageIndicator data is derived from a volunteer survey, inviting webvisitors to the national WageIndicator websites to complete the web-survey. Annually, the websites receive millions of web-visitors.

Bias:
Non-Probability web based surveys are problematic because not every individual has the same probability of being selected into the survey. The probability of being selected depends on national or regional internet access rates and on numbers of visitors accessing the webiste. Data of such surveys form a convenience rather than a probability sample. Due to the non-probability based nature of the survey and its selectivity the obtained results cannot be generalized for the population of interest; i.e. the labour force.
Comparisons with representative studies found an underrepresentation of male labour force, part-timers, older age groups, and low educated persons.
Besides other strategies to reduce the bias WageIndicator provides different weighting schemes in order to correct for selection bias.

Data Characteristics:
The data is organised in annual releases. The data of the period 2000-2005 is released as one dataset. Each data release consists of a dataset with continuous variables and one with project variables. The continuous variables can be merged across years. All variable and value labels are in English. The data does not include the text variables and verbatims form open-ended survey questions, these are available in Excel-Format upon request.

Spatial Coverage:
The survey started in 2000 in the Netherlands. Since 2004, websites have been launched in many European countries, in North and South America and in countries in Asia. From 2008 on web sites have been launched in more African countries, as well as in Indonesia and in a number of post-Soviet countries.
Countries: AO, AR, AM, AZ, BY, BE, BW, BR, CL, CN, CD, CZ, DK, SV, FI, FR, GE, DE, GT, HU, IN, ID, IT, KZ, KR, KG, LV, LT, MW, MX, MZ, NA, NL, PY, PL, RU, SK, ZA, ES, SE, TS, TM, UA, GB, US, UZ, ZM, ZW

Dataset Updates:
Please use the following link for information about update notes for the WageIndicator dataset

Data Access:
The WageIndicator Foundation and the Amsterdam Institute for Labour Studies of the University of Amsterdam (AIAS) have entered a cooperation agreement with the International Data Service Center (IDSC) http://idsc.iza.org/ of IZA, Bonn, Germany, which makes the IDSC the exclusive outlet of the WageIndicator data for the scientific community.
The WageIndicator annual releases are available through the WageIndicator page of IDSC

Codebook:
Tijdens, Kea; van Zijl, Sanne, Hughie-Williams, Melanie; van Klaveren, Maarten; Steinmetz, Stephanie (2010): Codebook and explanatory note on the WageIndicator datasets a worldwide, continuous, multilingual web-survey on work and wages with paper supplements. Amsterdam, University of Amsterdam, AIAS Working Paper 10-102.
Coverage Temporal:
2000-2010

Rights:
Due to the confidential character of the WageIndicator microdata, direct access to the data is only provided by means of research contracts. Access is in principle restricted to universities and research institutes. Researchers who are not affiliated to IZA will be charged with 500EUR for the data. Please contact IDSC for any access requests.

Citation:
Tijdens, K.G. and P. Osse, WageIndicator continuous web-survey on work and wages. Amsterdam: University of Amsterdam/AIAS and Stichting Loonwijzer

 
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