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Understanding the Resource Impact Using Matching

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  • Ilkin Aliyev

Abstract

We investigate the resource impact on economic growth using matching. Using a nonparametric minimum-distance matching method, we match the countries according to their observable characteristics, and estimate the relative growth rates of each matched pair. This way we are able to analyze the impact of the resources on relative growth rates, rather than on absolute growth rates as it has been done in the literature. Assuming correlation between observables and unobservables, the matching based on observables may control for unobservables as well. If this assumption is satisfied, matching allows us to control for more variables and to single out the direct effect of the resource abundance variable. We use different measures of resource abundance to check the robustness of such a relationship. The empirical results suggest that there is a strong negative relationship between relative exhaustible resource abundance and relative economic growth. For nonexhaustible resources, the results are mixed, with often a positive impact on relative growth. We discuss the contrary evidence in Sala-i-Martin et al. (2004) and highlight the differences in methodology and estimation that potentially may create differences in the results.

Suggested Citation

  • Ilkin Aliyev, 2011. "Understanding the Resource Impact Using Matching," CERGE-EI Working Papers wp451, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    • Handle: RePEc:cer:papers:wp451
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    File URL: http://www.cerge-ei.cz/pdf/wp/Wp451.pdf
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    Citations

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    Cited by:

    1. Farid Gasmi & Laura Recuero Virto & Denis Couvet, 2020. "The Impact of Renewable Versus Non-renewable Natural Capital on Economic Growth," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(2), pages 271-333, October.

    More about this item

    Keywords

    resource-rich countries; minimum-distance matching; relative GDP growth; relative resource richness impact; omitted variable bias;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development

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