ESTIMATION OF MINIMUM DEMAND THRESHOLDS: AN APPLICATION OF COUNT DATA PROCEDURES WITH THE EXISTENCE OF EXCESS ZERO OBSERVATIONS

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.


Issue Date:
2000
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/21849
Total Pages:
26
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-22

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