IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Der Nicht-Stichprobenfehler und seine Zerlegung in die beiden Komponenten „glatter Wert“ – wahrer Wert plus systematischer Fehler- und „Zufallsfehler“ / The Non-Sampling Error and its Decomposition into the Two Components “Permanent Value” – True Value plus Systematic Error- and “Random Error”: Schätzung mit Hilfe der Variate Difference-Methode und Analyse der horizontalen Aggregation individueller Zufallsfehler / Estimation by Means of the Variate Difference Method and Analysis of the Horizontal Aggregation of Individual Random Errors

Listed author(s):
  • Strecker Heinrich

    (Emer. o. Professor Dr. rer. nat. Universität Tübingen und Honorarprofessor der Universität München, Rosenstr. 11, D-82319 Starnberg bei München, Germany)

Registered author(s):

    In order to judge the quality of survey data it is necessary above all to estimate the size of the individual error components, i. e. the systematic and the random errors in the responses (survey data) of the surveyed units and, if feasible, to determinate their true value. This paper develops an estimation procedure by which the individual random errors included in individual response values can be ascertained as well as the total random error of a survey. As costumary in statistical surveys an additive linear error model is assumed: Individual response value = true value + systematic error + random error. The true value of a characteristic together with its systematic error are referred to as the permanent (smooth) component of the survey value. To assess the value of the permanent component the variate difference method is suggested in analogy to time series analysis, and the difference between response and estimated permanent component is the estimated random error. The permanent component is being estimated for each unit in a first stochastic approximation by means of an average of responses in three (re-)enumerations. With more than three (re-)enumarations further individual random errors and their average could be computed, this meaning a horizontal aggregation of individual estimates. This procedure is demonstrated for a simulated case.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by De Gruyter in its journal Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik).

    Volume (Year): 224 (2004)
    Issue (Month): 1-2 (February)
    Pages: 198-230

    in new window

    Handle: RePEc:jns:jbstat:v:224:y:2004:i:1-2:p:198-230
    Contact details of provider: Web page:

    Order Information: Web:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:jns:jbstat:v:224:y:2004:i:1-2:p:198-230. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Golla)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.