2021
DOI: 10.1080/13683500.2021.1965552
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Multiway clustering in tourism research

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Cited by 13 publications
(14 citation statements)
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“…Column 1 presents the estimates from OLS, while Columns 2 to 4 report those from quantile regressions at the 25th, 50th, and 75th quantiles. In all cases, standard errors are clustered at the autonomous community of destination level to consider potential cross-sectional correlation in the residuals ( Boto-García, 2022 ). Indeed, Parente and Santos-Silva’s test on intracluster correlation ( Parente & Santos-Silva, 2016 ) supports the need for clustering adjustment in the standard errors.…”
Section: Resultsmentioning
confidence: 99%
“…Column 1 presents the estimates from OLS, while Columns 2 to 4 report those from quantile regressions at the 25th, 50th, and 75th quantiles. In all cases, standard errors are clustered at the autonomous community of destination level to consider potential cross-sectional correlation in the residuals ( Boto-García, 2022 ). Indeed, Parente and Santos-Silva’s test on intracluster correlation ( Parente & Santos-Silva, 2016 ) supports the need for clustering adjustment in the standard errors.…”
Section: Resultsmentioning
confidence: 99%
“…Column 2 reports the parameter for the fixed effects regression in (1). Standard errors have been clustered at the district level to control for potential cross-sectional dependence in the residuals of listings that share the same environment that would bias the standard errors ( Boto-García, 2021 ).…”
Section: Resultsmentioning
confidence: 99%
“…Table 2 presents the coefficient estimates and the average marginal effects (AME) of the Probit regression model. Standard errors are clustered at the province level to acknowledge the potential cross-sectional correlation between units that belong to the same geographic area (Boto-García, 2021). Sample weights provided by the survey are used in the estimation to make the data valid for inference.…”
Section: Resultsmentioning
confidence: 99%