ESTIMATION OF MINIMUM DEMAND THRESHOLDS: AN APPLICATION OF COUNT DATA PROCEDURES WITH THE EXISTENCE OF EXCESS ZERO OBSERVATIONS
Harris, Thomas R.; Yen, Steven T.; Deller, Steven C.
2000

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Abstract

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.

Details

Title ESTIMATION OF MINIMUM DEMAND THRESHOLDS: AN APPLICATION OF COUNT DATA PROCEDURES WITH THE EXISTENCE OF EXCESS ZERO OBSERVATIONS
Author(s) Harris, Thomas R.
Yen, Steven T.
Deller, Steven C.
Subject(s)
Issue Date 2000
Publication Type Conference Paper/ Presentation
DOI and Other Identifiers 10.22004/ag.econ.21849
Record Identifier https://ageconsearch.umn.edu/record/21849
PURL Identifier http://purl.umn.edu/21849
Language English
Total Pages 26
Series Statement Selected Paper
Record Appears in Agricultural and Applied Economics Association (AAEA) > Agricultural and Applied Economics Association (AAEA) Conferences > 2000 Annual meeting, July 30-August 2, Tampa, FL

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