Forecasting and the casual relationship of sectorial energy consumptions and GDP of Pakistan by using AR, ARIMA, and Toda-Yamamoto Wald models
Dalia Streimikiene, Rizwan Raheem Ahmed, Saghir Pervaiz Ghauri, Muhammad Aqil, Justas Streimikis
| Year of publication: |
2020
|
|---|---|
| Authors: | Štreimikienė, Dalia ; Ahmed, Rizwan Raheem ; Ghauri, Saghir Pervaiz ; Aqil, Muhammad ; Streimikis, Justas |
| Published in: |
Romanian journal of economic forecasting. - Bucharest : Inst., ISSN 2537-6071, ZDB-ID 2428295-9. - Vol. 23.2020, 2, p. 131-148
|
| Subject: | Energy consumption forecasting | GDP forecasting | ARIMA/ARMA model | AR model with seasonal dummies | Granger causality model | Toda & Yamamoto Wald model | Energiekonsum | Energy consumption | Kausalanalyse | Causality analysis | Prognoseverfahren | Forecasting model | Pakistan | Nationaleinkommen | National income | Energieprognose | Energy forecast | Prognose | Forecast | Zeitreihenanalyse | Time series analysis | ARMA-Modell | ARMA model | Bruttoinlandsprodukt | Gross domestic product | Wirtschaftsprognose | Economic forecast |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012423079