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2022
Working Paper

A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure

By: Jesse M. Shapiro and Liyang Sun

Linear panel models featuring unit and time fixed effects appear in many areas of empirical economics. An active literature studies the interpretation of the ordinary least squares estimator of the model, commonly called the two-way fixed effects (TWFE) estimator, in... View Details

Keywords: Econometric Models; Mathematical Methods

2017
Working Paper

Identifying Sources of Inefficiency in Health Care

By: Amitabh Chandra and Douglas O. Staiger

In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details

Keywords: Health Care and Treatment; Performance Efficiency; Performance Productivity; Mathematical Methods

23 May 2023
Research & Ideas

Face Value: Do Certain Physical Features Help People Get Ahead?

not even be aware of how much someone’s facial attributes are driving interpersonal judgments,” Zhang says. An empirical method for capturing charisma Traditionally, people assess charisma based on... View Details

Keywords: by Kara Baskin

Web

Marketing - Faculty & Research

for the 2022 John D. C. Little Award. They study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Their empirical strategy exploits Airbnb’s introduction of the algorithm... View Details

Web

Technology & Operations Management - Faculty & Research

Technology & Operations Management Overview Faculty Curriculum Seminars & Conferences Awards & Honors Doctoral Students 2025 Working Paper Productivity Beliefs and Efficiency in Science By: Fabio Bertolotti, Kyle R. Myers and Wei Yang Tham We develop a View Details

October 2011
Article

The Surprising Power of Age-Dependent Taxes

By: Matthew C. Weinzierl

This article provides a new, empirically driven application of the dynamic Mirrleesian framework by studying a feasible and potentially powerful tax reform: age-dependent labor income taxation. I show analytically how age dependence improves policy on both the... View Details

Keywords: Taxation; Policy; Age; Income; Mathematical Methods; Welfare; United States

2023
Article

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju

The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details

Keywords: Mathematical Methods; Analytics and Data Science

2024
Working Paper

Fiscal Policy under Convex Supply Curves

By: Shlok Goyal, Avi Lipton and Borui Niklas Zhu

Recent empirical evidence suggests that supply curves are convex. Supply curve convexity is at odds with conventional Phillips curves, which rely on an infinitely elastic underlying supply curve. This paper explores the effect of supply curve convexity on the... View Details

Keywords: Fiscal Stimulus; Fiscal Policy; Inflation; Inflation and Deflation; Macroeconomics; Policy; Mathematical Methods; United States

SSRN

21 Oct 2014
First Look

First Look: October 21

cross-sectional empirical evidence is most persuasive in favor of agency considerations. Studies centered on the May 2003 dividend tax cut confirm that differences in the taxation of dividends and capital gains have only a second-order... View Details

Keywords: Sean Silverthorne

2023
Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li

We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details

Keywords: AI and Machine Learning; Mathematical Methods

2023
Article

Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju

One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details

Keywords: AI and Machine Learning; Mathematical Methods

20 Feb 2018
First Look

First Look at New Research and Ideas, February 20, 2018

priors/worldviews, or relevant features of a problem not being top of mind. Most research studying such losses does not empirically distinguish between these mechanisms. Instead, we show that most highly cited papers in this area presume... View Details

Keywords: Sean Silverthorne

Web

A New Vision – The Human Relations Movement – Baker Library | Bloomberg Center, Historical Collections

possibility of applying science to administration, but an actual scientific working-through of the nature of human behavior based on careful empirical observation. A second definition of vision is when one talks about a vision of the... View Details

April 2021
Article

A Model of Multi-Pass Search: Price Search Across Stores and Time

By: Navid Mojir and K. Sudhir

In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across... View Details

Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods

SSRN

Article

Oracle Efficient Private Non-Convex Optimization

By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu

One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details

Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods

Web

Business & Environment - Faculty & Research

experimental methods to further demonstrate causality and to consider the effects of potential moderators. These findings have implications for decisions related to product pricing, placement and assortment, store layout, and the choice... View Details

July 2008
Article

Crime and Punishment in the 'American Dream'

By: Rafael Di Tella and Juan Dubra

We observe that countries where belief in the "American dream" (i.e., effort pays) prevails also set harsher punishment for criminals. We know that beliefs are also correlated with several features of the economic system (taxation, social insurance, etc). Our objective... View Details

Keywords: Crime and Corruption; Economic Systems; Values and Beliefs; Law Enforcement; Mathematical Methods; Personal Characteristics; United States