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Is Volatility Good for Growth? Evidence from the G7

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  • Elena Andreou
  • Alessandra Pelloni
  • Marianne Sensier

Abstract

We provide empirical support for a DSGE model with nominal wage stickiness where growth is driven by learning-by-doing and money shocks and their variance are allowed to impact on long-run output growth. In our theoretical model the variance of monetary shocks has a negative effect on growth, while output volatility is good for growth as a positive relationship exists. Utilising a bivariate GARCH-M model we test the empirical conditional mean and variance relationships of nominal money and production growth rates in the G7 countries. We corroborate the theoretical model predictions with evidence from Bonferroni multiple tests across the G7.

Suggested Citation

  • Elena Andreou & Alessandra Pelloni & Marianne Sensier, 2008. "Is Volatility Good for Growth? Evidence from the G7," Centre for Growth and Business Cycle Research Discussion Paper Series 97, Economics, The University of Manchester.
    • Handle: RePEc:man:cgbcrp:97
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    Cited by:

    1. Barbara Annicchiarico & Luisa Corrado & Alessandra Pelloni, 2011. "Long‐Term Growth And Short‐Term Volatility: The Labour Market Nexus," Manchester School, University of Manchester, vol. 79(s1), pages 646-672, June.
    2. Barbara Annicchiarico & Alessandra Pelloni, 2014. "Productivity growth and volatility: how important are wage and price rigidities?," Oxford Economic Papers, Oxford University Press, vol. 66(1), pages 306-324, January.
    3. Oikawa, Koki, 2010. "Uncertainty-driven growth," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 897-912, May.
    4. Barbara Annicchiarico & Luisa Corrado & Alessandra Pelloni, 2008. "Volatility, Growth and Labour Elasticity," Working Paper series 32_08, Rimini Centre for Economic Analysis.
    5. Dimitrios Bakas & Georgios Chortareas & Georgios Magkonis, 2019. "Volatility and growth: a not so straightforward relationship," Oxford Economic Papers, Oxford University Press, vol. 71(4), pages 874-907.
    6. Mehmet Balcilar & Zeynel Abidin Ozdemir, 2020. "A re-examination of growth and growth uncertainty relationship in a stochastic volatility in the mean model with time-varying parameters," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(3), pages 611-641, August.
    7. Amber Fatima & Abdul Waheed, 2014. "Economic uncertainty and growth performance: a macroeconomic modeling analysis for Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1361-1387, May.

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O42 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Monetary Growth Models

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