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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