I will explore whether job-seekers use these signals in a sophisticated or naïve fashion with respect to the political information that leaks through. I will also examine how employers respond to job-seekers who include such signals in their applications.…Read More
Are private and social incentives for medical innovation aligned? This question is important because improvements in health have been a major source of increases in human well-being.…Read More
In this project, we examine the conditions under which such ICOs are optimal and provide guidance for their design. Despite their popularity in practice, uncapped ICOs are understudied and not as well understood as their capped counterparts.…Read More
However, we argue that open-plan offices can be detrimental to innovation by reducing the diversity of prospective employees. In particular, because this office design reduces privacy, increases informal oversight by peers, and escalates in-group vs. out-group social dynamics…Read More
Pursuing entrepreneurial opportunities is characterized by high uncertainty because entrepreneurs look to find unsatisfied demand with their new products or services. In an attempt to reduce uncertainty, entrepreneurs experiment with potential customers, seeking feedback through interviews or prototypes. It allows the entrepreneurs to learn about the targeted market and whether their idea can satisfy that demand.…Read More
Value-based health insurance plans have been introduced as an innovative policy to improve health as well as manage health care expenditures – generally through promoting high-value care and reducing low-value care. Standard theory would suggest that the more elastic the demand is for a particular medical service, cost-sharing should be set higher to curb overconsumption due to moral hazard.…Read More
This project examines the downstream consequences, both intended and unintended, of the “play to earn” experience. As the global pandemic was ravaging jobs around the world, blockchain-based “play to earn” games offered people in developing countries the opportunity to earn extra income and even make a living from playing these games.…Read More
This paper’s main contributions are to use a novel data set, introduce a new natural experiment, and exploit a quasi-random shock to show that patenting choices affect three important dimensions of innovation outcomes: the patent quantity, the patent quality, and the firm-level inputs (R&D, investment, and employees).…Read More
Currently, the amount of outstanding loans on the top 3 decentralized lending platforms are over $15 billion – this reflects phenomenal growth, as the space was nonexistent five years ago. What is decentralized lending? And what are the opportunities and risks associated with it?…Read More
Our research introduces an innovative nudge aimed at increasing goal persistence: making up for failure. If consumers fail their goal today (e.g., do not work out for 20 minutes), they are encouraged to make up for that failure tomorrow (e.g., work out 40 minutes tomorrow).…Read More
This research project aims to understand how innovation propagates through the reallocation of talents, and how this innovation diffusion process is shaped by the competition structure of talent labor markets. Specifically, we exploit various heterogenous shocks to firms, including credit supply shocks, financial constraints shocks, innovation shocks, to examine how firms react in their hiring and firing decisions under different competition structures of talent labor markets.…Read More
This study aims to highlight the generalization problem as a core challenge in organizational learning and strategic decision-making and explore how decision-makers may address this problem via different learning and choice strategies.…Read More
Using a structural model, we show that workers are highly heterogenous in their preferences for both multihoming and repositioning. We provide counterfactual estimates on the effects of proposed firm and regulatory policies aimed at multihoming and repositioning.…Read More
This research explores how a new relation of production—specifically, the shift from human to algorithms as managers on digital platforms—reconfigures and repurposes workplace consent.…Read More
We design new algorithms that leverage tools from survival analysis to provably perform well in these settings. We demonstrate the value of our approach on a large-scale clinical trial database on metastatic breast cancer.…Read More
This project aims to estimate the welfare effects of this strategy in the biotechnology industry, using a structural model of the investment decisions of VCs during the drug development process and the product market for the successful drugs.…Read More
The main questions we analyze in this project are, what are the key engagement drivers in online discussion platforms, and how can a platform leverage these drivers to adjust the user feed to maximize user engagement throughout the path of the discussion.…Read More
We examine the assumptions that underlie our understanding of profit maximizing firms and test whether product/service scope has different implications for social impact creation. This has both theoretical and practical implications for business model innovation that aims to deliver both financial and social value.…Read More
Hydrogen is being explored as a zero-carbon energy alternative in large, heavy and “hard to abate” sectors of the economy such as aviation, shipping, and other heavy industry. While hydrogen has several features that make it attractive for this end goal, there…Read More
In this study we plan to fill this research gap by examining whether social media can help startups to access broader knowledge and subsequently facilitate innovation. Our goal is twofold in this research. First, we explore the effect of social media adoption on startup’s knowledge diversity. Second, we analyze whether startups can successfully transfer the diversified knowledge into innovations.…Read More
