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This study applied a logistic regression model to determine the odds ratio of selecting clean versus unclean energy as the main household fuel choice. This study also undertook to establish the coefficients of the factors determining household fuel energy choice. A large microeconomic dataset from KIPPRA's comprehensive study and analysis on fuel use patterns in Kenya (2010) was employed to carry out the analysis. This study employed a multinomial logit regression model to determine the fueldoi:10.2478/fiqf-2022-0011 fatcat:m2n4lej6bneotkvbyooepbylve