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Forecasting the GDP Growth in Pakistan: The Role of Consumer Confidence


Article Information

Title: Forecasting the GDP Growth in Pakistan: The Role of Consumer Confidence

Authors: Syed Ateeb Akhter Shah, Fatima Kaneez, Arshad Riffat

Journal: Lahore Journal of Economics

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
Y 2020-07-01 2021-06-30
Y 1900-01-01 2005-06-30

Publisher: Lahore School of Economics, Lahore

Country: Pakistan

Year: 2022

Volume: 27

Issue: 1

Language: English

DOI: 10.35536/lje.2022.v27.i1.a3

Categories

Abstract

This paper investigates whether consumer confidence improves the prediction of GDP growth over what are popularly construed as fundamental economic variables. We use monthly data concerning Consumer Confidence Index (CCI) and its sub-indices to forecast GDP growth for Pakistan. Employing a set of univariate and multivariate models and comparing their forecasting performance against the Naïve mean model, we find that adding the consumer sentiments with fundamental economic variables improves the forecast of GDP growth. Vector autoregressive model with current economic conditions index and economic fundamentals, we find, performs the best. The results have potential policy implications in terms of tackling unemployment and inflation, for economic growth stimulation.


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