Note: The figures report the estimated average marginal effects of the control variables with 95% confidence intervals from the baseline ordered logistic regression model. The horizontal axis represents answers to the vaccination question: “I will get vaccinated as soon as a free COVID-19 vaccine becomes available to me.” Answers range from 1 = “Strongly disagree” to 7 = “Strongly agree.” We report average marginal effects only of those control variables that have logit coefficients that are statistically significant at least at a 5% significance level. (PDF)</p
Column A shows how the inclusion of mothers’ responses improve the linear fit compared to the relati...
(A) after the first dose, (B) after the second dose. A statistical analysis of the adverse effects a...
<p>(a), (b) Univariate sensitivity analysis for vaccine efficacy, <i>ϵ</i><sub><i>V</i></sub>. Data ...
Logit regression results of the likelihood of not getting vaccinated (average marginal effects).</p
Note: The table reports results obtained by estimating the baseline specification of our model using...
Crude model (logistic regression) of the association between lower COVID-19 vaccine coverageb'*' and...
Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines ...
Adjusted model (logistic regression) of the association between lower COVID-19 vaccination coverageb...
Logistic regression on respondents’ opinion of acceptance of COVID-19 vaccine.</p
Note: The table reports the logit coefficients of trust variables obtained by estimating the ordered...
<p>Note: <i>p</i>-values < .05 shown in bold.</p><p><sup>a</sup> normalized for purpose of calculati...
Note: The table reports the logit coefficients obtained by estimating the ordered logit regression m...
Results of six binary logistic regressions to compare the explanatory value of the general and speci...
<p>Notes: Effects coded variables used for safety of the vaccine, advice about the vaccine, media co...
a)<p>Marginal effects of covariates used in the adjustment of a Weibull distribution to time to clin...
Column A shows how the inclusion of mothers’ responses improve the linear fit compared to the relati...
(A) after the first dose, (B) after the second dose. A statistical analysis of the adverse effects a...
<p>(a), (b) Univariate sensitivity analysis for vaccine efficacy, <i>ϵ</i><sub><i>V</i></sub>. Data ...
Logit regression results of the likelihood of not getting vaccinated (average marginal effects).</p
Note: The table reports results obtained by estimating the baseline specification of our model using...
Crude model (logistic regression) of the association between lower COVID-19 vaccine coverageb'*' and...
Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines ...
Adjusted model (logistic regression) of the association between lower COVID-19 vaccination coverageb...
Logistic regression on respondents’ opinion of acceptance of COVID-19 vaccine.</p
Note: The table reports the logit coefficients of trust variables obtained by estimating the ordered...
<p>Note: <i>p</i>-values < .05 shown in bold.</p><p><sup>a</sup> normalized for purpose of calculati...
Note: The table reports the logit coefficients obtained by estimating the ordered logit regression m...
Results of six binary logistic regressions to compare the explanatory value of the general and speci...
<p>Notes: Effects coded variables used for safety of the vaccine, advice about the vaccine, media co...
a)<p>Marginal effects of covariates used in the adjustment of a Weibull distribution to time to clin...
Column A shows how the inclusion of mothers’ responses improve the linear fit compared to the relati...
(A) after the first dose, (B) after the second dose. A statistical analysis of the adverse effects a...
<p>(a), (b) Univariate sensitivity analysis for vaccine efficacy, <i>ϵ</i><sub><i>V</i></sub>. Data ...