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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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