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Measuring Technological Innovation over the Long Run
We use textual analysis of high-dimensional data from patent documents to create new indicators of technological innovation. We identify important patents based on textual similarity of a given patent to previous and subsequent work: these…
Non-Answers During Conference Calls
We construct a novel measure of disclosure choice by firms. Our measure is computed using linguistic analysis of conference calls to identify whether a manager’s response to an analyst question is a “non-answer.” Using our measure, about 11% of…
“One Hundred and Ninety-Four Got Licensed by Monday”: Application of Design Thinking for Foster Care Innovation and Transformation in Rhode Island
The American child welfare system is in crisis. Given its history, the beleaguered state of the system evokes little surprise. There is an urgent need for new and creative approaches to problem-solving and transformation in child…
Price Regulation in Credit Markets: A Trade-off between Consumer Protection and Credit Access
Interest rate caps are widespread in consumer credit markets, yet there is limited evidence on their effects on market outcomes and welfare. The effects of this policy are ambiguous and depend on a trade-off between consumer protection…
Private Sequential Learning
We formulate a private learning model to study an intrinsic tradeoff between privacy and query complexity in sequential learning. Our model involves a learner who aims to determine a scalar value 𝑣∗ by sequentially querying an external…
Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier
We study how endogenous innovation and technology diffusion interact to determine the shape of the productivity distribution and generate aggregate growth. We model firms that choose to innovate, adopt technology, or produce with their existing…
Shared Decision-Making: Can Improved Counseling Increase Willingness to Pay for Modern Contraceptives?
Long-acting reversible contraceptives are highly effective in preventing unintended pregnancies, but take-up remains low. This paper analyzes a randomized controlled trial of interventions addressing two barriers to long-acting reversible…
Stock Price Management and Share Issuance: Evidence from Equity Warrants
We investigate whether firms manage stock prices in anticipation of share issuance. Warrant exercise results in share issuance and warrant expiration dates are fixed years in advance, which precludes market timing. We predict firms manage stock…
Psychological Ownership Interventions Increase Interest in Claiming Government Benefits
Each year, eligible individuals forgo billions of dollars in financial assistance in the form of government benefits. To address this participation gap, we identify psychological ownership of government benefits as a factor that significantly…
The Impact of Impact Investing
We evaluate the quantitative effect of ESG divestitures on the cost of capital of affected firms. We derive a simple expression for the change in the cost of capital as a function of three inputs: (1) the fraction of socially conscious capital, (…
Empirical Models of Non-Transferable Utility Matching
Empirical models play a distinctive role in the study of matching markets. They provide a quantitative framework for measuring heterogeneity in preferences for schools (Hastings et al., 2009), comparing school assignment mechanisms (…
Stealth Acquisitions and Product Market Competition
We examine whether and how firms structure their merger and acquisition (M&A) deals to avoid scrutiny from antitrust regulators. There are approximately 40% more M&As than expected bunching just below thresholds that trigger antitrust…
Automated Bidding and Budget Optimization for Performance Advertising Campaigns
We present an approach to automate the bidding and budgeting of multi-unit digital advertising campaigns. Such campaigns typically involve groups of ad-units that span multiple user segments, ad-delivery channels and media that together are meant…
Stock-Option Financing in Pre-IPO Companies
In this Closer Look, we examine a new industry that has arisen in recent years to facilitate the financing of stock-option exercises for employees and executives of pre-IPO companies. These capital providers allow individuals to exercise and…
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
It has become increasingly common for data to be collected adaptively, for example using contextual bandits. Historical data of this type can be used to evaluate other treatment assignment policies to guide future innovation or experiments.…
Venture Capitalists and COVID-19
We survey over one thousand venture capitalists (VCs) on how the COVID-19 pandemic has affected their decisions and investments. VCs expect aggregate returns to be largely unchanged because winners have offset losers. This suggests the primary…
Federated Causal Inference in Heterogeneous Observational Data
Analyzing observational data from multiple sources can be useful for increasing statistical power to detect a treatment effect; however, practical constraints such as privacy considerations may restrict individual-level information sharing across…
Pandemic Spikes and Broken Spears: Indigenous Resilience after the Conquest of Mexico
It is well-established that the Conquest of the Americas by Europeans led to catastrophic declines in indigenous populations. However, less is known about the conditions under which indigenous communities were able to overcome the…
The Impact of Carbon Disclosure Mandates on Emissions and Financial Operating Performance
We examine the impact of a disclosure mandate for greenhouse gas emissions on firms’ subsequent emission levels and financial operating performance. For UK-incorporated listed firms a carbon disclosure mandate was adopted in 2013. Our difference-…
Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis
Digital platforms provide a variety of technology-enabled tools that enhance market transparency, such as real-time monitoring, ratings of buyers and sellers, and low-cost complaint channels. How do these innovations affect moral…