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http://dx.doi.org/10.13106/jafeb.2020.vol7.no8.161

How Does Financial Development Impact Economic Growth in Pakistan?: New Evidence from Threshold Model  

TARIQ, Rameez (Department of Management Sciences, COMSATS University)
KHAN, Muhammad Arshad (Department of Economics, COMSATS University)
RAHMAN, Abdul (Department of Management Sciences, COMSATS University)
Publication Information
The Journal of Asian Finance, Economics and Business / v.7, no.8, 2020 , pp. 161-173 More about this Journal
Abstract
This study examines the nonlinear relationship between financial development and economic growth in Pakistan using the threshold regression model for the period 1980-2017. We also employed quantile regression with 0.25, 0.50, and 0.75 quantiles of conditional distribution. The quantile regression is based on minimizing of sum of squared residuals. The result indicates that economic growth responds positively to financial development when the level of financial development surpasses the threshold value of 0.151. However, when financial development lies below the threshold value (that is, 0.151), its impact on economic growth is negative. Thus, when financial development of Pakistan surpasses the threshold level, it contributes more towards economic growth since greater level of financial development contributes more to boosts economic growth. This finding reveals that economic growth reacts differently to financial development, and the relationship between financial development and economic growth is U-shaped in Pakistan. Among the other variables, physical capital, labor force, and government expenditure exert a positive effect on economic growth. Furthermore, inflation rate and trade openness have an insignificant impact on economic growth. The results of quantile regression also confirm the non-linear relationship between financial development and economic growth in Pakistan. The finding of this study suggests revamping of financial sector policies in Pakistan.
Keywords
Finance-Growth Nexus; Threshold; Non-linearity; Quantile Regression;
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