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- 2024
- Working Paper
A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?
By: Paula Rettl, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi and Sergi Pardos-Prado
The growing participation of women in the labor market has marked a significant societal transformation, coinciding with the rise of gender conservatism and far-right support. We study whether the economic consequences of labor market feminization and gender backlash... View Details
- Working Paper
The Returns to Skills During the Pandemic: Experimental Evidence from Uganda
By: Livia Alfonsi, Vittorio Bassi, Imran Rasul and Elena Spadini
The Covid-19 pandemic represents one of the most significant labor market shocks to the world economy in recent times. We present evidence from a field experiment to understand whether and why skilled and unskilled workers were differentially impacted by the shock, in... View Details
- January 2024
- Article
Population Interference in Panel Experiments
By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
- May 2023
- Article
Self-Preferencing at Amazon: Evidence from Search Rankings
By: Chiara Farronato, Andrey Fradkin and Alexander MacKay
We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study... View Details
- December 2022
- Article
Does Industry Employment of Active Regulators Weaken Oversight?
By: Jonas Heese
I study whether industry employment of active regulators weakens oversight. To examine this question, I exploit that the Financial Reporting Enforcement Panel (FREP), the German capital-market regulator responsible for enforcing public firms’ compliance with accounting... View Details
- August 2022
- Article
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset... View Details
- 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
- February 2022
- Article
Taxation and Innovation in the 20th Century
By: Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva
This paper studies the effect of corporate and personal taxes on innovation in the United States over the twentieth century. We build a panel of the universe of inventors who patent since 1920, and a historical state-level corporate tax database with corporate tax... View Details
- 2021
- Working Paper
Do Policies to Increase Access to Treatment for Opioid Use Disorder Work?
By: Eric Barrette, Leemore S. Dafny and Karen Shen
As of 2016 there were an estimated 2.1 million Americans suffering from opioid use disorder (OUD). To date, most policy interventions have focused on curbing opioid prescriptions and extending insurance coverage to include substance use disorder. However, relatively... View Details
- July 2021
- Article
Medical Debt in the U.S., 2009–2020
By: Raymond Kluender, Neale Mahoney, Francis Wong and Wesley Yin
Importance: Medical debt is an increasing concern in the US, yet there is limited understanding of the amount and distribution of medical debt, and its association with health care policies.
Objective: To measure the amount of medical debt nationally and by... View Details
Objective: To measure the amount of medical debt nationally and by... View Details
- 2021
- Working Paper
Population Interference in Panel Experiments
By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
- Article
Value of New Performance Information in Healthcare: Evidence from Japan
By: Susanna Gallani, Takehisa Kajiwara and Ranjani Krishnan
Mandatory measurement and disclosure of outcome measures are commonly used policy tools in
healthcare. The effectiveness of such disclosures relies on the extent to which the new information produced by the mandatory system is internalized by the healthcare... View Details
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
- March 2020
- Article
Organizing Knowledge Production Teams Within Firms for Innovation
By: Vikas A. Aggarwal, David H. Hsu and Andy Wu
How should firms organize their pool of inventive human capital for firm-level innovation? While access to diverse knowledge may aid knowledge recombination, which can facilitate innovation, prior literature has focused primarily on one way of achieving that: diversity... View Details
- March 2019
- Article
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
By: Shunyuan Zhang, Param Singh and Anindya Ghose
We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve... View Details
- March 2019
- Article
Open Source Software and Firm Productivity
By: Frank Nagle
As open source software (OSS) is increasingly used as a key input by firms, understanding its impact on productivity becomes critical. This study measures the firm-level productivity impact of nonpecuniary (free) OSS and finds a positive and significant value-added... View Details
- 2018
- Working Paper
Taxation and Innovation in the 20th Century
By: Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva
This paper studies the effect of corporate and personal taxes on innovation in the United States over the 20th century. We use three new datasets: a panel of the universe of inventors who patent since 1920; a dataset of the employment, location, and patents of firms... View Details
- July–August 2018
- Article
Learning by Contributing: Gaining Competitive Advantage Through Contribution to Crowdsourced Public Goods
By: Frank Nagle
As the economy becomes more information based, firms are increasingly using crowdsourced public goods as inputs for innovation and production. Counterintuitively, some firms pay their employees to contribute to the creation of these goods, which can be used freely by... View Details
- February 2018
- Article
Heterogeneous Technology Diffusion and Ricardian Trade Patterns
By: William R. Kerr
This study tests the importance of Ricardian technology differences for international trade. The empirical analysis has three comparative advantages: including emerging and advanced economies, isolating panel variation regarding the link between productivity and... View Details