Post‑COVID recovery and long‑run forecasting of Indian GDP with Factor‑Augmented Error Correction Model (FECM)
Dibyendu Maiti, Naveen Kumar, Debajit Jha, Soumyadipta Sarkar
| Year of publication: |
2024
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|---|---|
| Authors: | Maiti, Dibyendu ; Kumar, Naveen ; Jha, Debajit ; Sarkar, Soumyadipta |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 63.2024, 3, p. 1095-1120
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| Subject: | Forecasting | Dynamic factor model | FECM | ARIMA | India | Indien | Prognoseverfahren | Forecasting model | Kointegration | Cointegration | Nationaleinkommen | National income | Wirtschaftsprognose | Economic forecast | Schätzung | Estimation | Prognose | Forecast | Faktorenanalyse | Factor analysis |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-023-10414-2 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014546333