{"title":"Non-linear pricing effects in conjoint analysis","authors":"Yichun Liu, Jeff D. Brazell, Greg M. Allenby","doi":"10.1007/s11129-022-09256-3","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46425,"journal":{"name":"Qme-Quantitative Marketing and Economics","volume":"20 1","pages":"397 - 430"},"PeriodicalIF":1.3000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Qme-Quantitative Marketing and Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s11129-022-09256-3","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
期刊介绍:
Quantitative Marketing and Economics (QME) publishes research in the intersection of Marketing, Economics and Statistics. Our focus is on important applied problems of relevance to marketing using a quantitative approach. We define marketing broadly as the study of the interface between firms, competitors and consumers. This includes but is not limited to consumer preferences, consumer demand and decision-making, strategic interaction of firms, pricing, promotion, targeting, product design/positioning, and channel issues. We embrace a wide variety of research methods including applied economic theory, econometrics and statistical methods. Empirical research using primary, secondary or experimental data is also encouraged. Officially cited as: Quant Mark Econ