Online ratings play an important role in many markets. However, how fast they can reveal seller types remains unclear. To study this question, we propose a new model in which a buyer learns about the seller’s type from previous ratings and her own experience and rates the seller if she learns...

Online ratings play an important role in many markets. We study the often disputed information content of these ratings, by proposing a reduced-form Bayesian model of the typical buyer's rating decision. Our empirical evidence based on eBay raw data is in line with even intricate predictions...

Digital platforms sometimes offer incentives to a subset of sellers to nudge behavior, possibly affecting the behavior of all sellers in the equilibrium. In this paper, we study a policy change on a large e-commerce platform that offers financial incentives only to platform-certified sellers...

We study consumer response towards sponsored search advertising and how to improve advertising performance on a large e-commerce platform. Our research design is based on a field experiment which randomizes the salience of ad disclosure to consumers, and a natural experiment which eradicates a...

We study consumer response towards sponsored search advertising and how to improve advertising performance on a large e-commerce platform. Our research design is based on a field experiment which randomizes the salience of ad disclosure to consumers, and a natural experiment which eradicates a...

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a machine...

Markets with asymmetric information will often employ third-party certification labels to distinguish between higher and lower quality transactions, yet little is known about the effects of certification policies on the evolution of markets. How does the stringency in quality certification...

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of an upgraded machine...

Early crowdfunding platforms were based on a premise of disintermediation from professional investors, and relied on the ‘wisdom of the crowd' to screen high quality projects. This becomes problematic when equity is involved, as the degree of asymmetric information between entrepreneurs...

Generative Artificial Intelligence (AI) holds the potential to either complement knowledge workers by increasing their productivity or substitute them entirely. We examine the short-term effects of the recent release of the large language model (LLM), ChatGPT, on the employment outcomes of...