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. Author manuscript; available in PMC: 2020 Mar 1.
Published in final edited form as: Ecohealth. 2019 Jan 7;16(1):7–20. doi: 10.1007/s10393-018-1391-9

Table 4.

Regression analysis for cooking fuel expenditures (in RWF): past 30 days1,2

Dependent variables: Cooking fuel purchased Charcoal purchased for
cooking
DiD coefficient (treatment effect) 0.28
(0.39)
−1.02*
(0.60)
FE coefficient 0.08
(0.38)
−1.23***
(0.44)

Observations 288 288

Robust standard errors in parentheses.

***

p<0.01,

**

p<0.05,

*

p<0.1

1.

Household characteristics controlled for: household size, baseline stove used in past 30 days, number of durable goods, ownership of land, log of per capita baseline total expenditure in last 4 weeks (in RWF), log of per capita baseline cooking fuel expenditure in last 4 weeks (in RWF), log of per capita baseline hygiene expenditure in last 4 weeks (in RWF). Traditional stoves is the referent category for 'stove used in the past 30 days: baseline'.

2.

Primary cook characteristics controlled for: hired, female. Household head characteristics controlled for: female, age (in years), married, secondary and above education level. TVET and levels below (primary, pre-primary and no education) is the referent category for 'secondary and above education level of household head'.