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Skills Toward Employment and Productivity Measurement Household Survey (STEP)
Skills Toward Employment and Productivity Measurement Household Survey logo
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Sample details

The STEP Measurement program is the first ever initiative to generate internationally comparable data on skills available in developing countries. The program implements standardized surveys to gather information on the supply and distribution of skills and the demand for skills in the labor market of low-income countries. The uniquely designed household survey includes modules that measure the cognitive skills (reading, writing, and numeracy), socio-emotional skills (personality, behavior, and preferences), and job-specific skills (a subset of transversal skills with direct job relevance) of a representative sample of adults aged 15 to 64 living in urban areas, whether they work or not. So far, two waves have been implemented in 12 countries. The first wave started in September 2011 and was completed in December 2013. Wave 1 countries are: Bolivia, Colombia, Sri Lanka, Lao PDR, Vietnam, the Yunnan Province in China, Ghana, and Ukraine. The second wave started in August 2012 and was completed in June 2014. Wave 2 countries are: Armenia, Georgia, Macedonia, and Kenya.

Study design
Cohort

Number of participants at first data collection

No information available

Recruitment is ongoing

Age at first data collection

15 - 64 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
Urban areas of the developing countries included in the program.

Sample features

Ethnically diverse populations
Dataset details
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Countries

Armenia, Bolivia, China, Colombia, Georgia

Year of first data collection

2011

Primary Institutions

World Bank Group

Links

microdata.worldbank.org/index.php/catalog/step/

ilsa-gateway.org/studies/factsheets/73

Profile paper DOI
Not available

Funders

Bank Netherlands Partnership Program (BNPP)

Multi Donor Trust Fund for Labor Markets, Job Creation and Economic Growth (MDTF)

Russia Education Aid for Development (READ) Trust Fund

World Bank

Ongoing?
Yes

Data types collected

qualitativeData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Secondary data
Qualitative data collection
  • Interviews or focus groups
Neuroimaging data collection
  • None
Linked or secondary data
  • Existing research data
Features

Engagement

  • Community engagement
  • Keywords

    Education
    Inequality
    Labour market participation
    Language development
    Literacy skills
    Poverty
    Skills acquisition
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