Note: The table reports the logit coefficients of trust variables obtained by estimating the ordered logit regression model with a single trust variable and all controls. We control for respondents’ sociodemographic characteristics, health, conspiracy beliefs, fears of getting sick with COVID-19, impact on finances in the case of COVID-19, and risk preferences. The dependent variable is a 7-category variable vaccination. Standard errors are presented in parentheses below the coefficients. p (PDF)</p
Logit regression results of the likelihood of not getting vaccinated (average marginal effects).</p
<p>Logistic Regression Analysis of factors associated with HIV infection among study participants.</...
<p>Note: All models are additionally adjusted for gender, age, marital status, and subjective health...
Note: The table reports the logit coefficients obtained by estimating the ordered logit regression m...
Note: The table reports the logit coefficients obtained by estimating the ordered logit regression m...
Note: The table reports results obtained by estimating the baseline specification of our model using...
Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines ...
Ordered logistic regression model with single trust variable and all controls.</p
<p>Coefficients are reported with standard errors and p-values for coefficients being non-zero in ro...
<p>Coefficients are reported with standard errors and p-values for coefficients being non-zero in ro...
Logistic regression on respondents’ opinion of acceptance of COVID-19 vaccine.</p
Logistic regression modelling evaluating risk factors related to the severity of clinical manifestat...
Note: The figures report the estimated average marginal effects of the control variables with 95% co...
#<p>, confidence interval.</p><p>Multivariable logistic regression analysis for overall infectious c...
Logistic regression analyses of factors associated with higher fear, depression, anxiety, stress, sl...
Logit regression results of the likelihood of not getting vaccinated (average marginal effects).</p
<p>Logistic Regression Analysis of factors associated with HIV infection among study participants.</...
<p>Note: All models are additionally adjusted for gender, age, marital status, and subjective health...
Note: The table reports the logit coefficients obtained by estimating the ordered logit regression m...
Note: The table reports the logit coefficients obtained by estimating the ordered logit regression m...
Note: The table reports results obtained by estimating the baseline specification of our model using...
Logistic regression analysis to identify influencing factors of the acceptance of COVID-19 vaccines ...
Ordered logistic regression model with single trust variable and all controls.</p
<p>Coefficients are reported with standard errors and p-values for coefficients being non-zero in ro...
<p>Coefficients are reported with standard errors and p-values for coefficients being non-zero in ro...
Logistic regression on respondents’ opinion of acceptance of COVID-19 vaccine.</p
Logistic regression modelling evaluating risk factors related to the severity of clinical manifestat...
Note: The figures report the estimated average marginal effects of the control variables with 95% co...
#<p>, confidence interval.</p><p>Multivariable logistic regression analysis for overall infectious c...
Logistic regression analyses of factors associated with higher fear, depression, anxiety, stress, sl...
Logit regression results of the likelihood of not getting vaccinated (average marginal effects).</p
<p>Logistic Regression Analysis of factors associated with HIV infection among study participants.</...
<p>Note: All models are additionally adjusted for gender, age, marital status, and subjective health...