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dc.contributor.authorBoehmer, Charles R.
Jungblut, Bernadette M.E.
Stoll, Richard J.
dc.date.accessioned 2013-08-02T19:54:21Z
dc.date.available 2013-08-02T19:54:21Z
dc.date.issued 2011
dc.identifier.citation Boehmer, Charles R., Jungblut, Bernadette M.E. and Stoll, Richard J.. "Tradeoffs in Trade Data: Do Our Assumptions Affect Our Results?." Conflict Management and Peace Science, 28, no. 2 (2011) Sage: 145-167. http://dx.doi.org/10.1177/0738894210396630.
dc.identifier.urihttps://hdl.handle.net/1911/71727
dc.description.abstract Researchers investigating the link between trade and peace often face a severe problem of list-wise deletion from missing trade data. Attempts to mitigate this problem include assuming that most observations are zero or imputing the values of such flows. We compare two frequently used trade data sets (the Gleditsch data set and the Correlates of War Project data set). We classify individual observations as observed, constructed or missing. We demonstrate that state attributes are systematically related to different categories of trade data. Using Monte Carlo simulations, we also find that replacing some missing data with estimated values tends to inflate the effects of trade in conflict models, although the effects differ by data set.
dc.language.iso eng
dc.publisher Sage
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.title Tradeoffs in Trade Data: Do Our Assumptions Affect Our Results?
dc.type Journal article
dc.citation.journalTitle Conflict Management and Peace Science
dc.subject.keyworddata assumptions
economic data
international conflict
international trade
missing data
monte carlo simulations
trade data
dc.citation.volumeNumber 28
dc.citation.issueNumber 2
dc.embargo.terms none
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1177/0738894210396630
dc.type.publication publisher version
dc.citation.firstpage 145
dc.citation.lastpage 167


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