Count data models that incorporate the existence of excess zero observations were employed to estimate minimum demand thresholds for rural Wisconsin retail sectors. It was found that single- and double-hurdle models improved the estimation of rural retail minimum demand thresholds.
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Title
ESTIMATION OF MINIMUM DEMAND THRESHOLDS: AN APPLICATION OF COUNT DATA PROCEDURES WITH THE EXISTENCE OF EXCESS ZERO OBSERVATIONS