IV-Schätzung eines linearen Panelmodells mit anonymisierten Betriebs- und Unternehmensdaten
AbstractRecently researchers in Germany were given the opportunity to use some of the business data provided by the Federal Statistical Office at their own workplace as Scientific Use Files (SUF). One of the anonymisation procedures used for the generation of SUF is multiplicative stochastic noise. Since this method leads to inconsistent estimates of linear panel models the use of correction procedures is necessary. This article analyses the instrument variables estimation as a correction method. As instrument variables we test a) a lagged variable, b) the difference between two lagged variables, and c) an anonymised variable from an additional anonymised data set. We conclude that only the last instrument leads to consistent estimators. We also study numerical problems which arise if the denominator of the estimator tends towards zero.
Download InfoIf 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.
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.
Bibliographic InfoArticle provided by Duncker & Humblot, Berlin in its journal Schmollers Jahrbuch.
Volume (Year): 130 (2010)
Issue (Month): 3 ()
Contact details of provider:
Web page: http://www.duncker-humblot.de
Find related papers by JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Gabriele Freudenmann).
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.