Forecasting dynamically asymmetric fluctuations of the U.S. business cycle
Emilio Zanetti Chini
| Year of publication: |
2018
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|---|---|
| Authors: | Zanetti Chini, Emilio |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 34.2018, 4, p. 711-732
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| Subject: | Density forecasts | Econometric modelling | Evaluating forecasts | Generalized logistic | Industrial production | Nonlinear time series | Point forecasts | Statistical tests | Unemployment | USA | United States | Theorie | Theory | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Konjunktur | Business cycle | Arbeitslosigkeit | Statistische Verteilung | Statistical distribution | Schätzung | Estimation | Nichtlineare Regression | Nonlinear regression |
| Description of contents: | Description [doi.org] |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Notes: | Erratum enthalten in: International journal of forecasting, Volume 37, issue 3 (July/September 2021), Seite 1329-1330 |
| Other identifiers: | 10.1016/j.ijforecast.2018.05.003 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012031089