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Table 2 Biprobit regression model predicting whether respondent slept under a net the previous night (n = 3,263)

From: Comparing two approaches for estimating the causal effect of behaviour-change communication messages promoting insecticide-treated bed nets: an analysis of the 2010 Zambia malaria indicator survey

  Coefficient SE p-value
EQUATION B: SLEPT UNDER AN ITN LAST NIGHT
Number of nets in household (Ref = 1)    
    2 nets 0.02 0.08 0.765
    3 or more nets 1.16 0.08 0.001
Received malaria information from a health worker 1.18 0.06 0.001
Exposed to malaria information from BCC 0.48 0.12 0.001
Constant -0.48 0.08 0.001
EQUATION A: EXPOSED TO MALARIA INFORMATION FROM BCC
Age (Ref = 15–24)    
    25-34 years old -0.05 0.10 0.642
    35-49 years old 1.34 0.11 0.001
Education (Ref = None)    
    Primary 2.19 0.17 0.001
    Secondary or Higher 3.94 0.19 0.001
Upper 2 wealth quintiles -0.66 0.09 0.001
Province (Ref: Central, Copperbelt)    
    Eastern, Northern, Luapula -0.77 0.10 0.001
    Lusaka -0.28 0.16 0.089
    Western, Southern, NorthWestern -0.61 0.10 0.001
Has a child under the age of 6 -0.55 0.09 0.001
Lives in a district that received IRS -0.39 0.10 0.001
Lives in an urban area 0.04 0.12 0.736
Constant -2.19 0.21 0.001
Correlation between residuals 0.021 0.08 0.7791