SSOAR Logo
    • Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
SSOAR ▼
  • Home
  • About SSOAR
  • Guidelines
  • Publishing in SSOAR
  • Cooperating with SSOAR
    • Cooperation models
    • Delivery routes and formats
    • Projects
  • Cooperation partners
    • Information about cooperation partners
  • Information
    • Possibilities of taking the Green Road
    • Grant of Licences
    • Download additional information
  • Operational concept
Browse and search Add new document OAI-PMH interface
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Download full text

(external source)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.18148/srm/2007.v1i2.77

Exports for your reference manager

Bibtex export
Endnote export

Display Statistics
Share
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Cross-sectional variance estimation for the French "Labor Force Survey"

Querschnitt-Varianz-Schätzung im französischen "Labor Force Survey"
[journal article]

Ardilly, Pascal
Osier, Guillaume

Abstract

"This paper describes the method that was implemented by the Statistical Office of France (INSEE) to calculate cross-sectional variance estimates for the French 'Labour Force Survey' (LFS). A home-made SAS application, named Poulpe, was used for the calculations. After outlining the LFS sample desig... view more

"This paper describes the method that was implemented by the Statistical Office of France (INSEE) to calculate cross-sectional variance estimates for the French 'Labour Force Survey' (LFS). A home-made SAS application, named Poulpe, was used for the calculations. After outlining the LFS sample design in the first part, the paper presents the software Poulpe, particularly its technical capabilities and the theoretical principles underlying the variance estimation methods it implements. The third part develops how Poulpe was utilized to compute variance estimates for the LFS, focusing on the statistical problems which were met and how they were solved. Finally, the authors provide estimated standard errors for totals and ratios and they make comments about those values." (author's abstract)... view less

Keywords
analysis of variance; survey research; France; estimation; software

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Document language
English

Publication Year
2007

Page/Pages
p. 75-83

Journal
Survey Research Methods, 1 (2007) 2

ISSN
1864-3361

Status
Published Version; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.