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. 2020 Nov 21;193:104343. doi: 10.1016/j.jpubeco.2020.104343

Table A16.

Robutness to Ordered Logit Estimation.

(1) (2) (3) (4) (5) (6)
Outcome → Confidence in scientists Scientists working for private companies benefit the public Scientists working for private companies are honest Scientists working for universities benefit the public Scientists working for universities are honest Scientists to find out accurate information
Exposure to Epidemic (18–25) 22300*** 66.00*** 301.81*** 104.13* 2646.74*** 92.46***
(95100) (92.37) (520.52) (278.16) (5196.73) (416.19)
Observations 82,854 81,406 76,723 81,147 75,792 83,939
(1) (2) (3) (4) (5) (6)
Outcome → Have trust in science Science and technology will help improve life Studying diseases is a part of science Have trust in doctors and nurses Have trust in hospitals and health clinics Have trust in traditional healers
Exposure to Epidemic (18–25) 2.050 0.002 0.023 0.011 0.000 0.770
(6.791) (0.010) (0.090) (0.062) (0.042) (6.013)



Observations 85,199 86,397 88,138 91,835 89,851 87,761
Country fixed effects Yes Yes Yes Yes Yes Yes
Cohort fixed effects Yes Yes Yes Yes Yes Yes
Male dummy Yes Yes Yes Yes Yes Yes
Country-specific age trends Yes Yes Yes Yes Yes Yes

Notes: Odds ratios are reported (an odds ratio greater than 1 indicates a positive association and an odds ratio less than 1 indicates a negative association). Outcomes “Confidence in scientists”, “Scientists working for private companies benefit the public”, “Scientists working for private companies are honest”, “ Scientists working for universities benefit the public”, “ Scientists working for universities are honest”, “Scientists to find out accurate information”, “Have trust in science”, “Have trust in doctors and nurses”, “Have trust in traditional healers” are coded as (1) a lot, (2) some, (3) not much, (4) not at all. Outcomes “Science and technology will help improve life”, “Studying diseases is a part of science” and “Have trust in hospitals and health clinics” are coded as (1) yes, 2 (no). Results use the Gallup sampling weights and robust standard errors are clustered at the country level. Source: Wellcome Global Monitor, 2018 and EM-DAT International Disaster Database, 1970–2017. * significant at 10%; ** significant at 5%; *** significant at 1%.