Economic policy uncertainty and credit growth: Evidence from a global sample
By Canh Phuc Nguyen, Thai‐Ha Le, Thanh Dinh Su. 2020
164 citations recorded by the source corpus.
Abstract This study extends the research of Bordo, Duca, and Koch (2016) and Hu and Gong (2018) by examining the influences of economic policy uncertainty (EPU) at domestic and global levels on aggregate bank credit growth. The empirical analysis is conducted through both supply and demand side factors of bank credit growth in 22 economies over the period 2001–2015. This study employs different measures of EPU and applies panel-corrected standard errors (PCSE) and feasible generalized least squares (FGLS), which are suitable for unbalanced panel data models. Three principal findings are follows. First, higher level of EPU has negative impact on bank credit growth, which is significant for domestic EPU measures. Second, the positive change in EPU appears to have favorable effects on bank credit growth. The effects in both cases are different for the credit demand and supply sides. The findings suggest the need for appropriate measures to tackle bank credit risk-taking activities in uncertain conditions. Third, the impacts of EPU in emerging economies are negative and somewhat stronger than in advanced economies.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/c86cac9adb6252c93eedc64192184d63f2606202
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In Economics and Econometrics
Citations in the corpus
- Digital financial inclusion and economic growth: provincial data analysis of China (2021, methodology): “PCSE counters serial correlation and crosssectional dependence and provides reliable results (Nguyen, Le, and Su 2020).”