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Table 2 Coefficient estimates corresponding to the explanatory variables, for each of the three response variables in the Multinomial Logit regression model

From: Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States

Independent variable Response variable
  Social distancing Vaccination Vaccination & social distancing
Age of the respondent 0.00655 (0.0252) -0.0605*** (0.0214) -0.0576*** (0.0222)
Age squared 8.49e−05 (0.000263) -0.000983*** (0.000219) 0.000941*** (0.000226)
Gender -0.0710 (0.132) -0.168 (0.115) -0.159 (0.122)
Household size 0.0905 (0.0674) 0.00538 (0.0624) 0.0317 (0.0650)
Children at home -0.0341* (0.198) 0.0254 (0.176) -0.0718 (0.187)
Household income −3.94e−06*** (1.48e−06) 6.31e−06*** (1.23e−06) −2.23e06*** (1.36e−06)
Constant -1.072* (0.621) -0.254 (0.543) 0.129 (0.568)
Predicted probabilities 0.16 0.27 0.22
Num. of observations: 2121; Log-likelihood: -2741; Chi-square: 229.1    
  1. The three response variables are: social distancing, vaccination, both vaccination & social distancing. The values in the parentheses are standard errors for the estimates. Statistical significance is shown by: ***, **, and *, which correspond to p<0.01, p<0.05 and p<0.1 respectively