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About: Mixed-data sampling     Goto   Sponge   NotDistinct   Permalink

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Type: yago:WikicatTimeSeriesModelsyago:Assistant109815790yago:CausalAgent100007347yago:LivingThing100004258yago:Model110324560yago:Object100002684yago:Organism100004475yago:Person100007846yago:PhysicalEntity100001930yago:Worker109632518yago:YagoLegalActoryago:YagoLegalActorGeoyago:Whole100003553yago:WikicatEconometricModels New Facet based on Instances of this Class

Econometric models involving data sampled at different frequencies are of general interest. Mixed-data sampling (MIDAS) is an econometric regression developed by Eric Ghysels with several co-authors. There is now a substantial literature on MIDAS regressions and their applications, including Ghysels, Santa-Clara and Valkanov (2006), Ghysels, Sinko and Valkanov, Andreou, Ghysels and Kourtellos (2010) and Andreou, Ghysels and Kourtellos (2013).