PMC:7589389 / 27553-28467 JSONTXT

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T123","span":{"begin":68,"end":73},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T124","span":{"begin":243,"end":250},"obj":"http://purl.obolibrary.org/obo/CLO_0009955"},{"id":"T125","span":{"begin":259,"end":262},"obj":"http://purl.obolibrary.org/obo/CLO_0002199"},{"id":"T126","span":{"begin":265,"end":269},"obj":"http://purl.obolibrary.org/obo/CLO_0050507"},{"id":"T127","span":{"begin":577,"end":582},"obj":"http://purl.obolibrary.org/obo/CLO_0009985"},{"id":"T128","span":{"begin":630,"end":635},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T129","span":{"begin":674,"end":679},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T130","span":{"begin":886,"end":887},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Table 3 reports the correlation matrix of the variables in the main tests—Pearson correlations in the lower diagonal and Spearman correlations in the upper diagonal. For the Pearson correlation, the two measures of cumulative abnormal return (CAR [−1, 1] and CAR [−2, 2]) are significantly and negatively correlated with provincial continued increasing public health threats (CIPHT), which is consistent with H1 that increasing provincial threats positively affect the risk assessment of the investor. Given that the results in Table 3 are pairwise univariate correlations, we focus the primary analyses based on the multivariate tests in the next section. For multivariate tests, we calculate the VIF for each variable in the regression model (2) and find that all VIF values of variables, exclude the fixed effects, are less than 4. Thus, our multivariate analyses are not subject to a multicollinearity problem."}

{"project":"LitCovid-sentences","denotations":[{"id":"T199","span":{"begin":0,"end":165},"obj":"Sentence"},{"id":"T200","span":{"begin":166,"end":501},"obj":"Sentence"},{"id":"T201","span":{"begin":502,"end":656},"obj":"Sentence"},{"id":"T202","span":{"begin":657,"end":834},"obj":"Sentence"},{"id":"T203","span":{"begin":835,"end":914},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 3 reports the correlation matrix of the variables in the main tests—Pearson correlations in the lower diagonal and Spearman correlations in the upper diagonal. For the Pearson correlation, the two measures of cumulative abnormal return (CAR [−1, 1] and CAR [−2, 2]) are significantly and negatively correlated with provincial continued increasing public health threats (CIPHT), which is consistent with H1 that increasing provincial threats positively affect the risk assessment of the investor. Given that the results in Table 3 are pairwise univariate correlations, we focus the primary analyses based on the multivariate tests in the next section. For multivariate tests, we calculate the VIF for each variable in the regression model (2) and find that all VIF values of variables, exclude the fixed effects, are less than 4. Thus, our multivariate analyses are not subject to a multicollinearity problem."}