Geographical effects on the accuracy of textile trade data:an international approach for 1913
Foreign trade statistics are the main data source to the study of international trade. However its accuracy has been under suspicion since Morgernstern published his famous work in 1963. Federico and Tena (1991) have resumed the question arguing that they can be useful in an adequate level of aggregation. But the geographical assignment problem remains unsolved. This article focuses on the spatial variable through the analysis of the reliability of textile international data for 1913. A geographical bias arises between export and import series, but because of its quantitative importance it can be negligible in an international scale.
When requesting a correction, please mention this item's handle: RePEc:upf:upfgen:821. 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: ()
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.