Quantitative Marketing and Economics official account

Joined April 2022
The QME October newsletter is now available online: lnkd.in/ePJEhsF3 Subscribe to get the newsletter directly in your inbox. This months we are covering 3 recently published paper with detailed summaries and assessments by the QME editors that handled each paper.
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consumers revisit products during their search process on an online webpage (which the authors built themselves!). Revisits occur because consumers want to compare products, obtain more information, or because they forgot information obtained earlier. [...]
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Revisits are often ignored in models of consumers search and this paper is one of the first to explore them in detail with a very rich and unique data-set.
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The authors model skill accumulation, player's learning about their preferences for the game, and inherent heterogeneity in play preferences. These estimates are then used to propose game design changes that increase engagement.
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The paper uses physicians switching decisions to identify their preferences over product benefits, which can then in turn be used for segmentation and targeting.
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When bids from preferred groups (minority-owned, small, etc.) receive a discount in a procurement auction, this intensifies competition and leads to lower equilibrium procurement expenditure.
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The paper analyzes the predictive power of geo-tracking data over and above demographic and behavioral variables that are commonly used for targeting. Because such data is quite sensitive, the authors also analyze how restricting data collection affects prediction quality.
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This paper nicely ties into an old literature around the value of different data sources for marketing decisions (demographics versus behavioral data versus novel data such as geo-tracking) and also speaks to current policy-concerns around privacy and their cost to businesses.
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🚨 New #QME article now available online 🚨 "How do U.S. households change their expenditure patterns in response to income or wealth shocks? Insights from NielsenIQ Data" by Shirsho Biswas (@shirshobiswas), Pradeep Chintagunta, and Sanjay Dhar. link.springer.com/article/10…
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The paper analyzes the impact of income and wealth on consumer spending. Results show an income-expenditure elasticity of 0.41. Consumers disproportionately increase spending on non-CPG products, national brands, and are less likely to spend additional money at grocery stores.
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