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- November 2024
- Article
Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge
By: Alberto Cavallo and Oleksiy Kryvtsov
We study how within-store price variation changes with inflation, and whether households exploit it to attenuate the inflation burden. We use micro price data for food products sold by 91 large multi-channel retailers in ten countries between 2018 and 2024. Measuring... View Details
- June 2024
- Article
Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices
By: Jason Shafrin, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington and Richard Willke
This study argues that value assessment conducted from a societal perspective should rely on the Generalized Cost-Effectiveness Analysis (GCEA) framework proposed herein. Recently developed value assessment inventories—such as the Second Panel on Cost-Effectiveness’s... 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
- 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
- November 2021
- Article
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative... 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
- January 2021
- Article
Commuting and Innovation: Are Closer Inventors More Productive?
By: Hongyu Xiao, Andy Wu and Jaeho Kim
We estimate the causal effect of workplace–home commuting distance on inventor productivity. We construct a novel panel of U.S. inventors with precisely measured workplace–home distances and inventor-level productivity. Our identification strategy exploits firm office... 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
- Article
How Did the Great Recession Affect Charitable Giving?
By: Arthur C. Brooks
A great deal of research has studied the effects of income and tax changes on charitable giving. However, little work has focused on how these relationships were affected by the Great Recession. This article estimates the tax and income effects using the 2009 Panel... View Details
- 2017
- Working Paper
Self-Employment Dynamics and the Returns to Entrepreneurship
By: Eleanor W. Dillon and Christopher T. Stanton
Small business owners and others in self-employment have the option to transition to paid work. If there is initial uncertainty about entrepreneurial earnings, this option increases the expected lifetime value of self-employment relative to pay in a single year. This... View Details
- 2017
- Working Paper
Management as a Technology?
By: Nicholas Bloom, Raffaella Sadun and John Van Reenen
Are some management practices akin to a technology that can explain firm and national productivity, or do they simply reflect contingent management styles? We collect data on core management practices from over 11,000 firms in 34 countries. We find large cross-country... View Details
- 2015
- Working Paper
The Probability of Rare Disasters: Estimation and Implications
By: Emil Siriwardane
I analyze a rare disasters economy that yields a measure of the risk neutral probability of a macroeconomic disaster, p*t. A large panel of options data provides strong evidence that p*t is the single factor driving option-implied jump risk measures in the cross... View Details
- November 2014
- Article
The Dynamics of Firm Lobbying
By: William R. Kerr, William F. Lincoln and Prachi Mishra
We study the determinants of the dynamics of firm lobbying behavior using a panel data set covering 1998–2006. Our data exhibit three striking facts: (i) few firms lobby, (ii) lobbying status is strongly associated with firm size, and (iii) lobbying status is highly... View Details
- 2013
- Dissertation
Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics
By: Clarence Lee, Vineet Kumar and Sunil Gupta
Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers... View Details
- 2013
- Working Paper
The Dynamics of Firm Lobbying
By: William R. Kerr, William F. Lincoln and Prachi Mishra
We study the determinants of the dynamics of firm lobbying behavior using a panel data set covering 1998–2006. Our data exhibit three striking facts: (i) few firms lobby, (ii) lobbying status is strongly associated with firm size, and (iii) lobbying status is highly... View Details
- January 2011
- Article
Building a Better America—One Wealth Quintile at a Time
By: Michael I. Norton and Dan Ariely
Disagreements about the optimal level of wealth inequality underlie policy debates ranging from taxation to welfare. We attempt to insert the desires of "regular" Americans into these debates, by asking a nationally representative online panel to estimate the current... View Details
- December 2010
- Article
Happiness Adaptation to Income and to Status in an Individual Panel
By: Rafael Di Tella and Robert MacCulloch
We study adaptation to income and to status using individual panel data on the happiness of 7,812 people living in Germany from 1984 to 2000. Specifically, we estimate a "happiness equation" defined over several lags of income and status and compare the long-run... View Details
- July 2005
- Article
The Consequences of Labor Market Flexibility: Panel Evidence Based on Survey Data
By: Rafael Di Tella and Robert MacCulloch
We introduce a new data set on hiring and firing restrictions for 21 OECD countries for the period 1984 –1990. The data are based on surveys of business people in the countries covered, so the indices we use are subjective in nature. Controlling for country and time... View Details