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Quantifying Australia's ‘Three-Speed’ Boom

Author

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  • Rod Tyers
  • Aaron Walker

Abstract

type="main" xml:lang="en"> We conjecture that a ‘secondary services boom’ is primarily responsible for the widespread nature of the gains in employment during Australia's recent ‘China boom’. An economy-wide model provides numerical theory for constructing hypotheses, which are tested econometrically. Predictions that include a services expansion and de-industrialisation are tested against pre-boom data and out-of-sample simulations through the boom. The secondary services boom appears clearly in both income and employment, though the effects on manufacturing are ambiguous, with stronger-than-hypothesised observed performance, suggesting that changes in industrial structure and the composition of assistance have favoured surviving manufacturing firms.

Suggested Citation

  • Rod Tyers & Aaron Walker, 2016. "Quantifying Australia's ‘Three-Speed’ Boom," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 49(1), pages 20-43, March.
  • Handle: RePEc:bla:ausecr:v:49:y:2016:i:1:p:20-43
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    Cited by:

    1. Grace Taylor & Rod Tyers, 2017. "Secular Stagnation: Determinants and Consequences for Australia," The Economic Record, The Economic Society of Australia, vol. 93(303), pages 615-650, December.
    2. Tsun Se Cheong & Yanrui Wu, 2013. "Globalization and Regional Inequality," Economics Discussion / Working Papers 13-10, The University of Western Australia, Department of Economics.
    3. Longfeng Ye & Peter E. Robertson, 2016. "On the Existence of a Middle-Income Trap," The Economic Record, The Economic Society of Australia, vol. 92(297), pages 173-189, June.
    4. Russell Smyth & Joaquin Vespignani, 2025. "The Missing Link in Australia's Critical Minerals Strategy: The Case for Establishing A Sovereign Resources Fund," Working Papers hal-05209709, HAL.

    More about this item

    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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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