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Sampling Issues in times of Covid-19: Applications at National Statistical Offices

 

Sampling Issues in times of Covid-19: Applications at National Statistical Offices

Course Leader

José GOUWELEEUW and KEES VAN BERKEL

Target Group

NSI statisticians dealing with surveys faced with the challenge to change data collection methods such as mixed mode strategies and adaptive survey designs. Additionally they face the use of administrative data and big data in the survey design and weighting stage.

Entry Qualifications

  • Basic knowledge of statistics.
  • Basic knowledge of programming in R.
  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions.

Objective(s)

  • To learn state of the art techniques in survey sampling.

Contents

  • Sampling theory
  • Errors in sample surveys
  • Mixed mode strategies
  • Adaptive survey design
  • Use of administrative data and big data
  • Estimating target variables with complex sampling designs

Expected Outcome

Participants will understand different sampling techniques, the use of several data sources in survey designs; they can identify errors in sample surveys, and are able to estimate target variables.

Training Methods

  • Presentations and lectures
  • Exchange of views/experiences on national practices
  • Exercises
 

Required Reading

None

Suggested Reading

  • Särndal, Swensson and Wretman, Model Assisted Survey Sampling, Chapters 1, 2, 3.
  • Schouten, Peytchev and Wagner, Adaptive Survey Design, Chapters 1, 2, 3.

Required Preparation

None

Trainer(s)/
Lecturer(s)

Kees VAN BERKEL (CBS Netherlands)

José GOUWELEEUW (CBS Netherlands)

Practical Information

When

Duration

Where

Organiser

Application  via National Contact Point

04–06.10.2021

3 days

The Hague, The Netherlands

ICON-INSTITUT Public Sector GmbH

Deadline: 09.08.2021