Meenal Chhabra

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We study hybrid online-batch matching problems, where agents arrive continuously, but are only matched in periodic rounds, when many of them can be considered simultaneously. Agents not getting matched in a given round remain in the market for the next round. This setting models several scenarios of interest, including many job markets as well as kidney(More)
Increasingly in both traditional, and especially Internet-based marketplaces, knowledge is becoming a traded commodity. This paper considers the impact of the presence of knowledgebrokers, or experts, on search-based markets with noisy signals. For example, consider a consumer looking for a used car on a large Internet marketplace. She sees noisy signals of(More)
This paper examines the possible uses of different market mechanisms for resource allocation at different levels of Wireless Sensor Network (WSN) architecture. The goal is to maximize the Value of Information (VoI) for WSN users. We discuss three different levels of WSN architecture. The lowest level focuses on individual nodes and their basic functions of(More)
This paper studies markets, such as Internet marketplaces for used cars or mortgages, in which consumers engage in sequential search. In particular, we consider the impact of information-brokers (experts) who can, for a fee, provide better information on true values of opportunities. We characterize the optimal search strategy given a price and the terms of(More)
We study competitive information provision in search markets. Consider the used car market: as a consumer searches, she receives noisy signals of the values of cars. She can consult an expert (say Carfax or a mechanic) to find out more about the true value before deciding whether to purchase a particular car or keep searching. Prior research has studied the(More)
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