Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19 : the case of New York
Year of publication: |
2022
|
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Authors: | Lahiri, Kajal ; Cheng, Yang |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 38.2022, 2, p. 545-566
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Subject: | Boosting | COVID-19 Pandemic | DMS forecasting | Forecast efficiency | Machine learning | MIDAS | Tax revenue | Coronavirus | Steuereinnahmen | Prognoseverfahren | Forecasting model | Wirkungsanalyse | Impact assessment | New York | Wirtschaftsprognose | Economic forecast | Epidemie | Epidemic |
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