{"title":"农田中多种除草剂的使用:一个状态选择数据的离散连续模型","authors":"Andreas Pellegrini, J. Rose, R. Scarpa","doi":"10.3368/le.98.2.092520-0150r1","DOIUrl":null,"url":null,"abstract":"Using a random utility consistent discrete-continuous model, we analyze decisions by a sample of Australian farmers on the mix of herbicides and their intensity of use. The proposed model is flexible and even accommodates decisions concerning a single herbicide. We use a sequential quadratic programming-based forecasting approach to predict optimal herbicide types and allocations. Structural estimates are used to forecast how price changes affect herbicide demand. The forecasting approach allows for calibration of alternative specific constants to reproduce existing brand market shares.","PeriodicalId":51378,"journal":{"name":"Land Economics","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multiple Herbicide Use in Cropland: A Discrete-Continuous Model for Stated Choice Data\",\"authors\":\"Andreas Pellegrini, J. Rose, R. Scarpa\",\"doi\":\"10.3368/le.98.2.092520-0150r1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using a random utility consistent discrete-continuous model, we analyze decisions by a sample of Australian farmers on the mix of herbicides and their intensity of use. The proposed model is flexible and even accommodates decisions concerning a single herbicide. We use a sequential quadratic programming-based forecasting approach to predict optimal herbicide types and allocations. Structural estimates are used to forecast how price changes affect herbicide demand. The forecasting approach allows for calibration of alternative specific constants to reproduce existing brand market shares.\",\"PeriodicalId\":51378,\"journal\":{\"name\":\"Land Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2021-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Land Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.3368/le.98.2.092520-0150r1\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Land Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.3368/le.98.2.092520-0150r1","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
Multiple Herbicide Use in Cropland: A Discrete-Continuous Model for Stated Choice Data
Using a random utility consistent discrete-continuous model, we analyze decisions by a sample of Australian farmers on the mix of herbicides and their intensity of use. The proposed model is flexible and even accommodates decisions concerning a single herbicide. We use a sequential quadratic programming-based forecasting approach to predict optimal herbicide types and allocations. Structural estimates are used to forecast how price changes affect herbicide demand. The forecasting approach allows for calibration of alternative specific constants to reproduce existing brand market shares.
期刊介绍:
Land Economics is dedicated to the study of land use, natural resources, public utilities, housing, and urban land issues. Established in 1925 by the renowned economist and founder of the American Economic Association, Richard T. Ely at the University of Wisconsin, Land Economics has consistently published innovative, conceptual, and empirical research of direct relevance to economists. Each issue brings the latest results in international applied research on such topics as transportation, energy, urban and rural land use, housing, environmental quality, public utilities, and natural resources.