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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