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.

Choi, S., Furceri, D., Huang, Y., Loungani, P. (2018). Aggregate uncertainty and sectoral productivity growth: The role of credit constraints. JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 88, 314-330 [10.1016/j.jimonfin.2017.07.016].

Aggregate uncertainty and sectoral productivity growth: The role of credit constraints

FURCERI, Davide
;
2018-01-01

Abstract

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.
2018
Settore SECS-P/02 Politica Economica
Choi, S., Furceri, D., Huang, Y., Loungani, P. (2018). Aggregate uncertainty and sectoral productivity growth: The role of credit constraints. JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 88, 314-330 [10.1016/j.jimonfin.2017.07.016].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/243287
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