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Going Up and Down: Rethinking the Empirics of Growth in the Developing and Newly Industrialized World

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  • Francesco Lamperti
  • Clara Elisabetta Mattei

Abstract

Growth dynamics are remarkably heterogeneous, in particular when one focuses on developing countries. Economic miracles and failures are embedded within extended phases of either growth or decline. We propose a methodology and a taxonomy that will characterize countries' growth patterns on the basis of the sequence of regimes they experience. In particular, we emphasize the difference between expansionary and recessionary regimes and, after classifying the growth pattern of all 123 developing countries in our dataset, we explore cross-sectional empirical regularities which emerge during upward and downward growth phases. Results show that expansionary regimes are associated with convergence and positive correlation between growth and (short run) volatility. On the contrary, in recessionary regimes, poorer countries face deeper failures and a negative correlation between growth and volatility is found, signifying that output fluctuates less around the trend during strong rather than mild recessions. Finally, we discover that regimes of growth and recession show similar average length (about 16 years). Although recessions on average are remarkably pronounced (14% loss), during expansions the magnitude of growth is much larger.

Suggested Citation

  • Francesco Lamperti & Clara Elisabetta Mattei, 2016. "Going Up and Down: Rethinking the Empirics of Growth in the Developing and Newly Industrialized World," LEM Papers Series 2016/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Handle: RePEc:ssa:lemwps:2016/01
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    Cited by:

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    3. Tommaso Ciarli & André Lorentz & Marco Valente & Maria Savona, 2019. "Structural changes and growth regimes," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 119-176, March.
    4. repec:spo:wpmain:info:hdl:2441/46k9rkvut99i7qnn4vqm25t53b is not listed on IDEAS
    5. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    6. repec:hal:spmain:info:hdl:2441/46k9rkvut99i7qnn4vqm25t53b is not listed on IDEAS
    7. Dosi, Giovanni & Roventini, Andrea & Russo, Emanuele, 2019. "Endogenous growth and global divergence in a multi-country agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 101-129.
    8. Giovanni Dosi & Andrea Roventini, 2024. "Evolutionary Growth Theory," LEM Papers Series 2024/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
    10. repec:hal:spmain:info:hdl:2441/13thfd12aa8rmplfudlgvgahff is not listed on IDEAS
    11. repec:hal:spmain:info:hdl:2441/20hflp7eqn97boh50no50tv67n is not listed on IDEAS

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    Keywords

    growth; structural breaks; expansionary and recessionary regimes; convergence;
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