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Are there any robust determinants of growth in Europe? A Bayesian Model Averaging approach

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  • D'Andrea, Sara

Abstract

Quantitative growth economists often have to deal with model uncertainty (Barro et al. (2003)) and the issue of open-endedness of theories (Brock and Durlauf (2001)). Bayesian Model Averaging (BMA) is the best statistical tool to evaluate the variables to include in a growth regression.

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  • D'Andrea, Sara, 2022. "Are there any robust determinants of growth in Europe? A Bayesian Model Averaging approach," International Economics, Elsevier, vol. 171(C), pages 143-173.
    • Handle: RePEc:eee:inteco:v:171:y:2022:i:c:p:143-173
    DOI: 10.1016/j.inteco.2022.06.001
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    More about this item

    Keywords

    Bayesian model averaging; Growth econometrics; Economic growth; Bayesian methods;
    All these keywords.

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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