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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><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:identifier>UDK: 004.8</dc:identifier><dc:identifier>OceCobissID: 257950467</dc:identifier><dc:identifier>COBISS_ID: 259594243</dc:identifier><dc:language>sl</dc:language></metadata>
