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Context Selection for Embedding Models
Word embeddings are an effective tool to analyze language. They have been recently extended to model other types of data beyond text, such as items in recommendation systems. Embedding models consider the probability of a target observation (a…
Culture out of attitudes: Relationality, population heterogeneity and attitudes toward science and religion in the U.S.
Attitude data can reveal culture’s secrets, but only if analysts acknowledge and transcend two problematic forms of heterogeneity. The first, relational heterogeneity, reflects the fact that the meaning of a…
Dynamic Learning of Patient Response Types: An Application to Treating Chronic Diseases
This paper was selected as a finalist for the 2014 Pierskalla award
Currently available medication for treating many chronic diseases is often effective only for a subgroup of patients, and biomarkers…
Dynamic Pricing under Debt: Spiraling Distortions and Efficiency Losses
Firms often finance their inventory through debt and subsequently sell it to generate profits and service the debt. Pricing of products is consequently driven by inventory and debt servicing considerations. We show that limited liability under…
Framing Work in Metacompetition
Information, Credit and Organizations
This paper investigates the effect of a change in informational environment of borrowers on the organizational design of bank lending. We use micro-data from a large multinational bank and exploit the sudden introduction of a credit registry, an…
It Takes a Village to Maintain a Dangerous Financial System
The financial system is meant to facilitate efficient allocation of resources, helping people and businesses fund, invest, save, and manage risks. This system is rife with conflicts of interests. Reckless practices, uncontrolled by market forces…
Learning in Repeated Auctions with Budgets: Regret Minimization and Equilibrium
In online advertising markets, advertisers often purchase ad placements through bidding in repeated auctions based on realized viewer information. We study how budget-constrained advertisers may compete in such sequential auctions in the presence…
Machine Learning: An Applied Econometric Approach
Machines are increasingly doing “intelligent” things. Face recognition algorithms use a large dataset of photos labeled as having a face or not to estimate a function that predicts the presence y of a face…
Matrix Completion Methods for Causal Panel Data Models
In this paper we develop new methods for estimating causal effects in settings with panel data, where a subset of units are exposed to a treatment during a subset of periods, and the goal is estimating counterfactual (untreated) outcomes for the…
Mostly Exploration-Free Algorithms for Contextual Bandits
The contextual bandit literature has traditionally focused on algorithms that address the exploration-exploitation tradeoff. In particular, greedy algorithms that exploit current estimates without any exploration may be sub-optimal in…
Mutual Funds in Equilibrium
Historically, the literature on money management has not consistently applied the rational expectations equilibrium concept. We explain why and summarize recent developments in the money management literature that do apply this concept correctly…
Natural Disasters and Political Engagement: Evidence from the 2010–11 Pakistani Floods
How natural disasters affect politics in developing countries is an important question, given the fragility of fledgling democratic institutions in some of these countries as well as likely increased exposure to natural disasters over time due to…
Non-Convex Finite-Sum Optimization Via SCSG Methods
We develop a class of algorithms, as variants of the stochastically controlled stochastic gradient (SCSG) methods , for the smooth nonconvex finite-sum optimization problem. Only assuming the smoothness of each component, the complexity of SCSG…
Rethinking Time: Implications for Well-Being
How people think about and use their time has critical implications for happiness and well-being. Extant research on time in the consumer behavior literature reveals a predominantly dichotomized perspective of time between the present and future…
Setting the Scene: The Rise and Coalescence of Heroism Science
This opening chapter of the Handbook of Heroism and Heroic Leadership offers insights and inspiration about the zenith of human behavior. The contributions to this volume offer a sturdy foundations for the development of a…
Shadow of the Future: Race, Tryouts, and Hiring of College Educated Workers
Preparing for submission
Shared Education Affiliations and Workplace Relationships
Preparing for submission
Social Norm Perception in Groups with Outliers
Social outliers draw a lot of attention from those inside and outside their group and yet little is known about their impact on perceptions of their group as a whole. The present studies examine how outliers influence observers’ summary…