• Search Deterrence in Experimental Consumer Goods Markets (with Alexander L. Brown and Ajalavat Viriyavipart)  (recent version)

Recent theoretical research indicates that search deterrence strategies are generally optimal for sellers in consumer goods markets. Yet search deterrence is not always employed in such markets. To understand this incongruity, we develop an experimental market where profit-maximizing strategy dictates sellers should exercise one form of search deterrence, exploding offers. Sellers demonstrate a reluctance to use such offers against human buyers that is lessened when facing computerized buyers. Human buyers are three times more likely to deviate from optimal strategy by rejecting rather than accepting these offers. The differential rate of buyer suboptimal play shifts the equilibrium of the game to a point where seller gains from the use of exploding offers are greatly reduced. In sum, the results suggest the benefits of search deterrence may be substantially less than what theory predicts.

  • Identify Brand Satiation Using Purchase Data (With Venkatesh Shankar) (recent version)

In product categories such as yogurt, cereal and candy, consumers are likely to be satiated after frequent consumption of the same brand, leading to variety-seeking and switching to other brands. Prior research has modeled satiation mostly using consumption and preference data, but most firms have access to only purchase data. Identifying satiation and estimating satiation effect using purchase data remain a significant challenge. We provide rich evidence supporting effects of satiation using a scanner data set in a yogurt market and develop a Hidden Markov Model in which households may be temporarily stay in an unobserved “satiation” state. The results show that households may be occasionally satiated for a certain brand, and there is significant difference among the satiation probabilities for brands. Our Hidden Markov Model explains consumer satiation better than benchmark models.

  • The Effect of Periodic Structure in Consumer Visiting Patterns (With Hua Yuan) (recent version)

Maintaining a strong repurchasing cycle may be not easy for households, because such routinization requires a significant amount of self-control against consumption uncertainties, external shocks and other schedule conflicts. Are households with “structural” repurchase patterns associated with better self-control, or they simply face constraints which limit their timing choices? We investigate household repurchase periodicity and its impact on product choices using scanner datasets in the Yogurt and Carbonated Beverage categories. Product-market level analysis shows that “structural households”—households with strong periodic purchase patterns—are associated with weaker consumer inertia and have more product switches recorded. However, weak evidence shows that such improved decision making can be attributed to self-control; the data is more consistent with the explanation that structural households are more easily satiated and prefer more variety in product choices.

  • Explain Heterogeneity in State Dependence using “Fundamental” Switches (recent version)

This paper investigates state dependence effects in frequently purchased product markets. I use consumers’ switching behavior in different product categories to provide necessary variation and test whether the variation may explain differences in consumers’ responses to previous purchases and other relevant marketing variables. I find that part of the variation in switching behavior is stable: they explain a significant portion of consumers’ state dependence in different categories and different years consistently. The finding provides a different way to look at household switches, and contributes to the literature of estimating state dependence in the consumer goods market.

  • Does Trustworthiness Matter in an Optimal Contract? (With Debing Ni and Kaiming Zheng) (recent version)

This paper considers a modified principal-agent environment, where the agent makes costly work effort in exchange for wage, and the principal chooses a combination of fixed rate and piece rate transfer to the agent in hope for higher effort. Because the principal in our environment is liability constrained and because the production is subjected to great uncertainty, she suffers from significant efficiency loss with self-regarding agents. However, the agent may be potentially reciprocal. In our specific theoretic setting, by triggering some agents’ reciprocity preference, the principal may achieve a better outcome. Is it possible that principals reward agents’ trustworthiness and “trustworthy” agents improve labor market efficiency? We test the modified principal-agent model using a lab experiment. We find that, compared with a market with self-regarding agents, the market witnesses significant higher offers of fixed rate wage. Estimations on agents’ effort choice confirms the effects of both positive and negative reciprocity. It reveals that negative reciprocity has a greater impact on efforts and thus on principals’ wage offers. The estimated reciprocity reference point decreases over the experiment in the social information sessions, but not in the individual information sessions. Only at later rounds, principals’ offer are correlated with the trustworthiness level of the agents.

  • Customers’ shopping behavior in the E-commerce Platform (work in progress)

Utilizing a transaction-based dataset, we hope to investigate some purchase patterns on E-commerce platforms (which cannot be studied previously).  Our mission is to think of a reasonable way that customers make choices on the platform. With an accepted choice structure, we may address problems such as comparing gender differences in online purchasing behavior.