We develop the first structural model of a multitasking salesforce to address questions of job design and incentive compensation design. The model incorporates three novel features: (i) multitasking effort choice given a multidimensional incentive plan; (ii) salesperson's private information...

We examine how to learn personalized customer retention strategies when customers' intentions to purchase evolve over time. Working with a Japanese online platform, we first implement a large-scale randomized experiment, in which coupons are randomly sent to first-time buyers at different times....

We study how to design product recommendations when consumers' attention and utility are influenced by time pressure---a prominent example of the context effect---and menu characteristics, such as the number of recommended products in the assortment. Using unique data on consumer purchases from...

As firms often acquire incumbents to enter new markets, the presence of desirable targets affects entry and merger decisions simultaneously. We study these decisions jointly by estimating a two-sided matching model with externalities using data on commercial banks to investigate the effect of...

We propose an estimation strategy for two-sided matching models with non-transferable utility based on the characterization using pre-matching that exploits a fixed-point characterization of the set of stable matchings.

This paper studies how signaling can facilitate the functioning of a market with classical adverse selection problems. Using data from Prosper.com, an online credit market where loans are funded through auctions, we provide evidence that reserve interest rates that borrowers post can serve as a...

We develop a dynamic entry model of multi-store oligopoly with heterogeneous markets, and estimate it using data on hamburger chains in Canada (1970–2005). Because more lucrative markets attract more entry, firms appear to favor the presence of more rivals. Thus unobserved heterogeneity across...

We study the early adoption of Twitter in the 111th House of Representatives. Our main objective is to determine whether successes of past adopters have the tendency to speed up Twitter adoption, where past success is defined as the average followers per Tweet — a common measure of “Twitter...