Predicting the state of local markets after natural disasters to inform humanitarian cash programs

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Thesis Advisor	Franses, P.H.B.F.
Persistent URL	hdl.handle.net/2105/50607
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Tas, A. (2019, November 5). Predicting the state of local markets after natural disasters to inform humanitarian cash programs. Econometrie. Retrieved from http://hdl.handle.net/2105/50607

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