A System Approach for Three-Dimensional Panel Data to Estimate Poultry Trade Impacts due to Animal Disease Outbreaks
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Disruptions in international trade can cause negative and costly impacts to both exporting and importing countries. These disruptions affect commodity groups differently based on level of processing and type of product. Disaggregating data into sub-commodity groups allows for a better understanding of the impact highly pathogenic diseases can have on trade quantities. In this analysis, a systems approach Hausman-Taylor estimations (HT-SUR) will be applied to estimate the factors affecting bilateral trade of disaggregated poultry commodities during an outbreak of a highly pathogenic avian influenza (HPAI) and exotic Newcastle disease (ND). The ending results will be a granular impact analysis of disease outbreaks on exporting countries by commodity.