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Regime-specific impact of financial reforms on economic growth in Pakistan

Abdul Rahman, Muhammad Arshad Khan and Lanouar Charfeddine ()

Journal of Policy Modeling, 2021, vol. 43, issue 1, 161-182

Abstract: This study uses and proposes a new methodological approach to construct a financial liberalization index on the basis of the dynamic factor model technique. The resulting index is used to investigate the impact of the financial sector reforms in Pakistan on economic growth. Using the Markov regime-switching model over the period 1972–2015, the empirical results showed that the examined relationship is nonlinear, nonmonotonic, state-dependent, and better described by the two-state Markov switching model characterized by the high growth regime and low growth regime. Despite the positive impact of financial liberalization on economic growth in both the high and low growth regimes, financial liberalization relatively strongly affects real GDP growth in the high growth regime. The results further demonstrate that transition probabilities establish an inordinate episode of the low growth regime. Furthermore, the high growth regime is relatively short-lived than the low growth regime. Among the other variables, trade openness and physical capital stock have a positive impact on economic growth, while labor force and government expenditure exert a negative effect on economic growth. Several economic policies are proposed and discussed for better functioning of financial sector development in Pakistan.

Keywords: Financial liberalization; High and low economic growth; Dynamic factor model; Markov switching model; Nonlinear relationship (search for similar items in EconPapers)
JEL-codes: C24 F43 O43 (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1016/j.jpolmod.2020.10.006

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