The sample selection model: Application on the farmers’ decision of rice acreage
© 2017 by the Mathematical Association of Thailand. All rights reserved. This study explores the estimation and inferences of a sample selection model with ordered-multinomial response outcomes. The model consists of two equations, namely, ordered response and regression equations. The estimation of...
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th-cmuir.6653943832-437612018-04-25T07:31:14Z The sample selection model: Application on the farmers’ decision of rice acreage Woraphon Yamaka Chaowana Phetcharat Nattamon Teerakul Thaya Navanugraha Mathematics Agricultural and Biological Sciences © 2017 by the Mathematical Association of Thailand. All rights reserved. This study explores the estimation and inferences of a sample selection model with ordered-multinomial response outcomes. The model consists of two equations, namely, ordered response and regression equations. The estimation of parametric model is inconsistent when the distribution is unknown. To overcome this problem, we propose the primal generalized maximum entropy estimator to the model based on a constrained sample selection model with multinomial response outcomes. This method is also applied to examine farmers’ decision on the rice acreage and perception of weather risk. The result of this study shows that the gender and age affect the farmers’ subjective probability of the weather risk. 2018-01-24T03:57:51Z 2018-01-24T03:57:51Z 2017-01-01 Journal 16860209 2-s2.0-85039696102 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039696102&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43761 |
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Mathematics Agricultural and Biological Sciences Woraphon Yamaka Chaowana Phetcharat Nattamon Teerakul Thaya Navanugraha The sample selection model: Application on the farmers’ decision of rice acreage |
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© 2017 by the Mathematical Association of Thailand. All rights reserved. This study explores the estimation and inferences of a sample selection model with ordered-multinomial response outcomes. The model consists of two equations, namely, ordered response and regression equations. The estimation of parametric model is inconsistent when the distribution is unknown. To overcome this problem, we propose the primal generalized maximum entropy estimator to the model based on a constrained sample selection model with multinomial response outcomes. This method is also applied to examine farmers’ decision on the rice acreage and perception of weather risk. The result of this study shows that the gender and age affect the farmers’ subjective probability of the weather risk. |
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Woraphon Yamaka Chaowana Phetcharat Nattamon Teerakul Thaya Navanugraha |
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Woraphon Yamaka Chaowana Phetcharat Nattamon Teerakul Thaya Navanugraha |
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Woraphon Yamaka |
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The sample selection model: Application on the farmers’ decision of rice acreage |
title_short |
The sample selection model: Application on the farmers’ decision of rice acreage |
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The sample selection model: Application on the farmers’ decision of rice acreage |
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The sample selection model: Application on the farmers’ decision of rice acreage |
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The sample selection model: Application on the farmers’ decision of rice acreage |
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sample selection model: application on the farmers’ decision of rice acreage |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039696102&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43761 |
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