Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11960/2835
Title: Significance bias in the tourism-led growth literature
Authors: Fonseca, Nino
Sánchez-Rivero, Marcelino
Keywords: Granger causality
Meta-regression
Publication bias
Tourism-led growth
Issue Date: 5-Feb-2020
Publisher: Sage
Citation: Fonseca, N. & Sánchez-Rivero, M. (2020). Significance bias in the tourism-led growth literature. Tourism Economics, 26(1), 137-154. https://doi.org/10.1177/1354816619833564
Abstract: 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.
URI: http://hdl.handle.net/20.500.11960/2835
ISSN: 1354-8166
Appears in Collections:ESTG - Artigos indexados à WoS/Scopus

Files in This Item:
File Description SizeFormat 
Significance_Bias_in_the_TLG_Literature_with_Granger_Causality_Tests__Excerto_.pdf8.11 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.