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How much does military spending affect growth? Causal estimates from the World's non-rich countries

Author

Listed:
  • Giorgio d'Agostino
  • J Paul Dunne

    (School of Economics and SALDRU, University of Cape Town)

  • Luca Pieroni

Abstract

While not always a concern for the general economic growth literature, the debate over the effects of military spending on growth continues to develop, with no consensus, but a deepening understanding of the limitations of previous work. One important issue that has not been adequately dealt with, is the endogeneity of military spending in the growth equation, mainly because of the difficulty of finding any variables that would make adequate instruments. This paper considers this issue, using an endogenous growth model estimated on a large sample of 109 non-high income countries for the period 1998-2012. The empirical analysis is framed within an instrumental variable setting that exploits the increase in military spending that occurs when unrest in a country escalates to turmoil. The estimation results show that endogeneity arising from reverse causality is a crucial issue, with the instrumental variable estimates providing a larger significant negative effect of military spending on growth than OLS would. This result is found to be robust to different sources of heterogeneity and different time periods.

Suggested Citation

  • Giorgio d'Agostino & J Paul Dunne & Luca Pieroni, 2016. "How much does military spending affect growth? Causal estimates from the World's non-rich countries," SALDRU Working Papers 196, Southern Africa Labour and Development Research Unit, University of Cape Town.
  • Handle: RePEc:ldr:wpaper:196
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    More about this item

    Keywords

    Military spending; economic growth; reverse causality; instrumental variable; panel data.;
    All these keywords.

    JEL classification:

    • H00 - Public Economics - - General - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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