Forecasting and the casual relationship of sectorial energy consumptions and GDP of Pakistan by using AR, ARIMA, and Toda-Yamamoto Wald models
Year of publication: |
2020
|
---|---|
Authors: | Å treimikienÄ—, 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 | Kausalanalyse | Causality analysis | Energiekonsum | Energy consumption | Prognoseverfahren | Forecasting model | Nationaleinkommen | National income | Pakistan | Prognose | Forecast | Zeitreihenanalyse | Time series analysis | Wirtschaftsprognose | Economic forecast | Energieprognose | Energy forecast | Theorie | Theory |
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