Aggregate Uncertainty and Sectoral Productivity Growth: The Role of Credit Constraints
Sangyup Choi (),
Davide Furceri (),
Yi Huang and
Prakash Loungani ()
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Yi Huang: Graduate Institute, Geneva
No 2017rwp-109, Working papers from Yonsei University, Yonsei Economics Research Institute
We show that an increase in aggregate uncertainty?measured by stock market volatility?reduces productivity growth more in industries that depend heavily on external finance. The mechanism at play is that during periods of high uncertainty, firms that are credit constrained switch the composition of investment by reducing productivity-enhancing investment?such as on ICT capital?which is more subject to liquidity risks (Aghion et al., 2010). The effect is larger during recessions, when financing constraints are more likely to be binding, than during expansions. Our statistical method?a difference-in-difference approach using productivity growth of 25 industries from 18 advanced economies over the period 1985-2010?mitigates concerns with omitted variable bias and reverse causality. The results are robust to the inclusion of other sources of interaction effects, instrumental variable approaches, and different datasets. The results also hold if economic policy uncertainty (Baker et al., 2016) is used instead of stock market volatility as a measure of aggregate uncertainty.
Keywords: productivity growth; financial dependence; uncertainty; Information and communication technology investment (search for similar items in EconPapers)
JEL-codes: E22 F43 O30 O47 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eff, nep-mac and nep-opm
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Journal Article: Aggregate uncertainty and sectoral productivity growth: The role of credit constraints (2018)
Working Paper: Aggregate Uncertainty and Sectoral Productivity Growth: The Role of Credit Constraints (2017)
Working Paper: Aggregate Uncertainty and Sectoral Productivity Growth; The Role of Credit Constraints (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:yon:wpaper:2017rwp-109
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