<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=96125"><dc:title>Can we measure economic stress with (the help of) artificial intelligence?</dc:title><dc:creator>Romih,	Dejan	(Avtor)
	</dc:creator><dc:creator>Fir,	Nejc	(Avtor)
	</dc:creator><dc:creator>Dajčman,	Silvo	(Avtor)
	</dc:creator><dc:creator>Toader,	Valentin	(Avtor)
	</dc:creator><dc:description>In this chapter, we present a cable news-based index of economic stress that can be used to measure and monitor economic stress. Data shows that economic stress was highest during the COVID-19 pandemic, which is consistent with the literature. Using a vector autoregressive model, we found that a shock to economic stress negatively affects economic activity, which is valuable information for policymakers.</dc:description><dc:date>2025</dc:date><dc:date>2025-12-03 11:13:44</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>96125</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
