{"title":"Estimating expectations-based reference-price effects in the used-car retail market","authors":"Guofang Huang, Haiyan Liu","doi":"10.1007/s11129-021-09239-w","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46425,"journal":{"name":"Qme-Quantitative Marketing and Economics","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Qme-Quantitative Marketing and Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s11129-021-09239-w","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
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