Modelling the reporting discrepancies in bilateral data
This paper is about the discrepancies in reported bilateral statistical data ("mirror data"). For example the trade from country A to country B is not reported the same in the two countries. The discrepancies are used to estimate the accuracy of the reporters. The estimated accuracies are to be used to compute optimal combinations of mirror data. Two models of the discrepancies are presented: (a) unbiased reporting with inaccurate reporters having a large variance, and (b) biased reporting with inaccurate reporters having a large bias (either positive or negative). Estimation methods are least squares regression and maximum likelihood. A numerical illustration is given, using data of the international trade in services. It is shown how to judge the two models empirically. For an updated�version, see CPB Discussion Paper 216 .�
|Date of creation:||Apr 2007|
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- Nico van Leeuwen & Arjan Lejour, 2006. "Bilateral Services Trade Data and the GTAP database," CPB Memorandum 160, CPB Netherlands Bureau for Economic Policy Analysis.
- Gehlhar, Mark, 1996. "Reconciling Bilateral Trade Data for Use in GTAP," GTAP Technical Papers 313, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
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