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Quantitative Marketing and Economics OnlineFirst articles


Why would a big retailer refuse to collaborate on manufacturer SPIFF programs?

Big retailers that carry a large assortment of products rely on knowledgeable salespeople to provide purchase advice to customers and match customers with suitable products. Interestingly, big retailers vary in their policies regarding whether to …


You get what you give: theory and evidence of reciprocity in the sharing economy

We develop an analytical framework of peer interaction in the sharing economy that incorporates reciprocity, the tendency to increase (decrease) effort in response to others’ increased (decreased) effort. In our model, buyers (sellers) can induce …


Dynamic stochastic games with random moves

We reformulate the quality ladder model of Pakes and McGuire, Rand Journal of Economics, 25(4), 555–589 (1994) as a dynamic stochastic game with random moves in which each period one firm is picked at random to make an investment decision.


Sequential sampling enhanced composite likelihood approach to estimation of social intercorrelations in large-scale networks

The increasing access to large social network data has generated substantial interest in the marketing community. However, due to its large scale, traditional analysis methods often become inadequate. In this paper, we propose a sequential …

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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
Related subjects » Business, Economics & Finance - Economic Theory - Marketing 

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