Probabilistic Modeling Of Workforce-Based Disruptions And Input-Output Analysis Of Interdependent Ripple Effects
AbstractThis paper extends the formulation of the input-output model to account for events that cause time varying and probabilistic workforce disruptions. One example of such an event is a pandemic, because the rates with which it affects the working population vary from period to period and are coupled with uncertainties. To address such complexities, the paper develops two extensions: (i) a method of translating unavailable workforce into a measure of sector productivity disruption, and (ii) a simulation framework to account for the possible variations in economic output losses. These extensions are implemented via a MATLAB program to simulate a pandemic scenario in the Commonwealth of Virginia.
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.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Economic Systems Research.
Volume (Year): 22 (2010)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://www.tandfonline.com/CESR20
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.