Significance bias in the tourism-led growth literature
We use an original meta-regression analysis to test the existence of bias of statistical significance in the literature on the study of Granger causality relationships between tourism and income. We conclude for the presence of such bias. We also conclude that some methodological choices are more li...
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| Veröffentlicht in: | Tourism economics : the business and finance of tourism and recreation 2020-02, Vol.26 (1), p.137-154 |
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| container_title | Tourism economics : the business and finance of tourism and recreation |
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| creator | Fonseca, Nino Sánchez-Rivero, Marcelino |
| description | We use an original meta-regression analysis to test the existence of bias of statistical significance in the literature on the study of Granger causality relationships between tourism and income. We conclude for the presence of such bias. We also conclude that some methodological choices are more likely to lead to statistically significant results. Additionally, we find that the empirical association between tourism and income is stronger the shorter the time horizon analyzed and that it is correlated with the countries' economic, touristic and demographic profile. Altogether, our results suggest that there are reasons to mistrust the typical methodological approach followed by the literature reviewed and cast doubt on its usual implications for economic policy. |
| doi_str_mv | 10.1177/1354816619833564 |
| format | Article |
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| issn | 1354-8166 2044-0375 |
| language | eng |
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| subjects | Bias Causality Correlation analysis Econometrics Economic analysis Economic policy Economics Empirical analysis Income Regression analysis Statistical analysis Statistical significance Tourism |
| title | Significance bias in the tourism-led growth literature |
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