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  • Search: subject:"negative binomial count"
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Year of publication
Subject
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Bivariate Probit 1 Crop Production/Industries 1 Farm Management 1 GPS 1 Hurdle Model 1 Inpatient and Outpatient Care 1 National Survey of Veterans 1 Negative Binomial Count Data Model 1 Poisson 1 Production Economics 1 Research and Development/Tech Change/Emerging Technologies 1 Veterans' Administration 1 cotton 1 education 1 negative binomial count data method 1 precision technologies 1
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Online availability
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Free 2
Type of publication
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Article 1 Book / Working Paper 1
Language
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Undetermined 2
Author
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Chintawar, Sachin 1 English, Burton C. 1 Lahiri, Kajal 1 Lambert, Dayton M. 1 Larkin, Sherry L. 1 Larson, James A. 1 Marra, Michele C. 1 Martin, Steven W. 1 Mishra, Ashok K. 1 Paxton, Kenneth W. 1 Reeves, Jeanne M. 1 Roberts, Roland K. 1 Xing, Guibo 1
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Institution
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University at Albany, SUNY, Department of Economics 1
Published in...
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Agricultural and Resource Economics Review 1 Discussion Papers / University at Albany, SUNY, Department of Economics 1
Source
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RePEc 2
Showing 1 - 2 of 2
Cover Image
Intensity of Precision Agriculture Technology Adoption by Cotton Producers
Paxton, Kenneth W.; Mishra, Ashok K.; Chintawar, Sachin; … - In: Agricultural and Resource Economics Review 40 (2011) 1
Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the...
Persistent link: https://www.econbiz.de/10009201406
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Cover Image
An Econometric Analysis of Veterans Health Care Utilization Using Two-part Models
Lahiri, Kajal; Xing, Guibo - University at Albany, SUNY, Department of Economics - 2001
Based on 1992 US National Survey of Veterans, we analyzed the nature of veterans' inpatient and outpatient health care utilization by estimating a count data two-part hurdle model. We also identified factors that affect veterans' choices between VA and non- VA health care facilities, using a...
Persistent link: https://www.econbiz.de/10008517758
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