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~isPartOf:"Discussion papers / CEPR"
~isPartOf:"Discussion papers / National Institute of Economic and Social Research"
~subject:"Bayesian inference"
~subject:"Coronavirus"
~subject:"Forecasting model"
~subject:"Konjunktur"
~type_genre:"Non-commercial literature"
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Nowcasting growth using google trends data : a bayesian structural time series model
Bhattacharjee, Arnab
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Kohns, David
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2022
Persistent link: https://www.econbiz.de/10013264850
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Time series models for epidemics: : leading indicators, control groups and policy assessment
Harvey, Andrew C.
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2020
Persistent link: https://www.econbiz.de/10012672008
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3
FAQ : how do i measure the output gap?
Canova, Fabio
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2020
Persistent link: https://www.econbiz.de/10012234774
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4
Price dividend ratio and long-run stock returns : a score driven state space model
Delle Monache, Davide
;
Petrella, Ivan
;
Venditti, Fabrizio
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2019
Persistent link: https://www.econbiz.de/10012205777
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