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{"ops":[{"insert":"A binomial logit model is estimated to determine the ownership of a Bank Debit card in a\u00a0\nselected Suburb in South Africa. The Bank Debit card is a binary variable with Y=1 for debit\u00a0\ncard holder and zero otherwise. The number of households is 60. The estimated binomial logit\u00a0\nmodel is given by \ud835\udc3f\ud835\udc56\u00a0\n\n\u00a0\n\n\u00a0\ud835\udc3f\ud835\udc56 = -0.55574 + 0.0012\ud835\udc35\ud835\udc56 - 0.1202\ud835\udc47\ud835\udc56 \u2013 1.352\ud835\udc45\ud835\udc56 + 1.452\ud835\udc38\ud835\udc56\u00a0\n\u00a0z = (\u22120.7316) (1.97) (\u22122.567) (-1.98) (2.89)\u00a0\n\u00a0McFadden R2 = 0.1007,\u00a0\n\u00a0LR statistics = 7.6073,\u00a0\n\u00a0Prob(LR statistics) = 0.0155\u00a0\n\n\u00a0\n\nwhere \ud835\udc35\ud835\udc56= account balance in rands\u00a0\n\ud835\udc47\ud835\udc56\u00a0= frequency of ATM transactions\u00a0\n\ud835\udc45\ud835\udc56 = 1 if interest is paid on the account balances and\u00a0\u00a0zero otherwise.\u00a0\n\ud835\udc38\ud835\udc56= 1 if employed in formal sector and zero if in the informal sector.\u00a0\n\n\u00a0\n\n3.1 What are your priori expectations of each determinant on the Bank Debit card?\n\u00a0(2)\u00a0\n\n\u00a0\n\n3.2 Interpret the estimated coefficient in the model.\u00a0\n"}]}

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