PMC:7589389 / 32089-33736 JSONTXT 6 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T232 0-110 Sentence denotes To address the endogeneity concerns, we apply a two-stage least squares (2SLS) instrumental variable approach.
T233 111-254 Sentence denotes In the first-stage regression, we regress the continued increase of public health threats on two instrument variables (IMMIGRANT and EMIGRANT).
T234 255-481 Sentence denotes Here, IMMIGRANT is the six-day mean value of the ratio of the daily provincial immigrants to the national immigrants; and EMIGRANT is the six-day mean value of the ratio of the daily provincial emigrants to national emigrants.
T235 482-552 Sentence denotes The daily mobility data is collected from the Baidu Migration website.
T236 553-882 Sentence denotes Based on Jia et al. [10] and Kraemer et al.’s [9] findings, we argue that when the provincial immigrant (emigrant) rate is increased, the new COVID-19 cases are more (less) likely to be confirmed for the out-in (in-out) human mobility, enhancing (decreasing) the likelihood to face the continued increasing public health threats.
T237 883-1066 Sentence denotes We report the first-stage regression results in Column (A) of Table 7, where we regression CIPHT on all two instruments and the control variables added in the second-stage regression.
T238 1067-1174 Sentence denotes We find that the coefficient of EMIGRANT is negative and significant, which consistent with our conjecture.
T239 1175-1249 Sentence denotes Columns (B) and (C) of Table 7 report the second-stage regression results.
T240 1250-1432 Sentence denotes We find that the coefficient of Predicted_CIPHT, estimated from the first-stage regression, is negatively and significantly associated with CAR [−1, 1] and CAR [−2, 2], respectively.
T241 1433-1647 Sentence denotes Accordingly, the robust results based on the 2SLS approach mitigate endogeneity concerns and strengthen the main inference that continued increasing public health threats significantly influence market performance.