copyright 2010, the world bank group. all rights reserved. part 2 labor market information produced...

Copyright 2010, The World Bank Group. All Rights Reserved.

Part 2

Labor Market Information

Produced in Collaboration between World Bank Institute and the Development Data Group (DECDG)



Survey production cycle

1. Survey design

2. Sample design

3. Questionnaire content and design

4. Data collection and training

5. Data processing and tabulation

6. Data estimation

7. Data analysis and dissemination



1. Survey design• Several decisions need to be made to define survey such

as: what to be measured, when and where etc.• More details in learning module 2.

2. Sample design• Whom, specifically, to collect data from• More details in learning module 4.



3. Questionnaire content and design• Critical step• Collection of reliable, accurate data• More details in learning module 5

4. Data collection and training• Gathering specific data from specific sources (units)• Training of enumerators critical to accurate collection• More details in learning module 6.



5. Data processing and tabulation• Validation, editing and estimation• Indicators, tables• More details in learning module 9

6. Data estimation• Sample survey• Data weighted to reflect total population• Internationally sound methods• More details in learning module 8



7. Data analysis and dissemination

• Explain what is happening with the data• Clearly identified dissemination practices• More details in

learning module 10



Guidelines

What data should be included in a LMIS?• Data should be:

1. Relevant

2. Timely

3. Well defined

4. Accurate

5. Objective

6. Consistent with international standards



Organization and Scheduling• Key to development of labor market information system• Project planning

• Data release schedule• When are the most important tasks to start?• When are they to be completed?• Who is responsible?

• Identify key personnel responsible for each activity



Agency protocols• Establish rules/procedures

• Confidentiality rules• Identify embargoed and other sensitive data products• Develop data integrity procedures• Develop editing protocols• Develop requirements for tables under different modes

of release• Identify documentation requirements



Agency protocols (continued)• Establish rules/procedures

• Develop procedures for data verification• Develop procedures for approval of various actions• Identify statistical requirements for surveys on response

rates, disclosure avoidance, variance methods, etc.\• Protect respondent confidentiality and prevent the

premature release of any data• Constant review of questionnaires



Agency protocols (continued)

Begin simple and become more detailed and complex as experience grows

• Simple: tables must be professional-looking• Complex: standardized titles, templates, fonts, rounding

rules, decimal places, etc.



Framework for labor statistics

Data Quality Assessment Framework (DQAF)

• Useable framework for assessment and improvement of data

• Focus on inputs contributing to overall quality



Themes of DQAF

1. Prerequisites of quality• Does the agency facilitate statistical quality?

2. Integrity• Can organization be trusted to produce accurate, reliable

statistics

3. Methodological soundness• Are methods sound, reliable and well-documented?

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Themes of DQAF (continued)

4. Accuracy and reliability• How accurate are the data?• Non-response issues?• Sampling and non-sampling errors?

5. Serviceability• How are data offered?• What is the relationship with user groups?

6. Accessibility• Are data releases complete?• Are detailed metadata available?

copyright 2010, the world bank group. all rights reserved. part 2 labor market information produced...

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