This paper investigates the trade elasticity, a key parameter in international economics, and examines biases in its estimation arising from dynamic treatment effects and staggered adoption. Leveraging the 2018 US trade war tariffs as a natural experiment, I apply a local projections...

This paper studies the spending response to news about a dividend tax reform to estimate the elasticity of intertemporal substitution (EIS). The Norwegian dividend tax reform was proposed in 2003, announced in 2004, and implemented in 2006, raising the dividend tax rate by 28 percentage points....

This is a replication study of Cook et al.(2023), a paper that investigates the determinants of access to nondiscriminatory public accommodations for African-Americans before the 1964 Civil Rights Act. They utilize the Negro Motorist Green Books and World War II casualty data to examine the...

This paper examines households' stock market participation responses to a critical life-cycle event, adult children's marriage. An event-study difference-in-differences approach is employed to facilitate identification, which compares changes in the stock market participation behaviors of...

This paper evaluates the efficacy of the Secondary Market Corporate Credit Facility, a program designed to stabilize the U.S. corporate bond market during the COVID-19 pandemic. The program announcements on March 23 and April 9, 2020, significantly reduced investment-grade credit spreads across...

Atwood (2022) analyzes the effects of the 1963 U.S. measles vaccination on long-run labor market outcomes, using a generalized difference-in-differences approach. We reproduce the results of this paper and perform a battery of robustness checks. Overall, we confirm that the measles vaccination...

In this paper, we describe a computational implementation of the Synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021) for Stata. Synthetic difference-in-differences can be used in a wide class of circumstances where treatment effects on some particular policy or...

Staggered difference-in-differences designs are pervasive in policy evaluations but little is known about the mechanisms of policy diffusion: How and why do such policies spread across jurisdictions? In this study, we highlight the role of elections in policy diffusion in settings where...

Staggered difference-in-differences designs are pervasive in policy evaluations but little is known about the mechanisms of policy diffusion: How and why do such policies spread across jurisdictions? In this study, we highlight the role of elections in policy diffusion in settings where...

Two-way fixed effects (TWFE) regressions with period and group fixed effects are widely used to estimate policies' effects: 26 of the 100 most cited papers published by the American Economic Review from 2015 to 2019 estimate such regressions. Researchers have long thought that TWFE estimators...

We study a difference-in-differences (DiD) framework where groups experience unequal treatment statuses in the pre-policy change period. This approach is commonly employed in empirical studies but it contradicts the canonical model's assumptions. We show that in such settings, the standard DiD...

Staggered difference-in-differences designs are pervasive in policy evaluations but little is known about the mechanisms of policy diffusion: How and why do such policies spread across jurisdictions? In this study, we highlight the role of elections in policy diffusion in settings where...

The difference-in-differences (DID) approach that identifies the capitalization of amenities through changes in housing prices has been widely used in the literature of hedonic estimation in the past decade. However, concerns have been raised about how to interpret the estimated capitalization...

In this paper, we describe a computational implementation of the Synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021) for Stata. Synthetic difference-in-differences can be used in a wide class of circumstances where treatment effects on some particular policy or...

Existing structural analyses of the harmful effects of market consolidation focus on either product or labor markets in isolation, ignoring that product market competitors often compete for workers as well. This paper develops a unified framework for merger evaluation, finding that firms'...

The Drug-Free Communities (DFC) Support Program aims to reduce youth substance use by fostering multi-sector collaboration and implementing locally tailored strategies within the community. This study is among the first to evaluate the program's impact on youth development outcomes in the United...

This paper leverages a large minimum wage reform in Uruguay to study the effects of minimum wages on the distribution of firm wage premia. Wage inequality decreased substantially after the reform, with almost all of the decrease attributed to a reduction in between-firm inequality. AKM variance...

For difference-in-differences methods, there has been great attention to obtaining consistent estimates of treatment effects, especially when the treatment effects are heterogeneous. However, there has been little discussion of the importance of weights in aggregating those treatment effects...

Linear regressions with period and group fixed effects are widely used to estimate policies' effects: 26 of the 100 most cited papers published by the American Economic Review from 2015 to 2019 estimate such regressions. It has recently been show that those regressions may produce misleading...

We study regressions with period and group fixed effects and several treatment variables. Under a parallel trends assumption, the coefficient on each treatment identifies the sum of two terms. The first term is a weighted sum of the effect of that treatment in each group and period, with weights...

This note formalizes the synthetic difference-in-differences estimator for staggered treatment adoption settings, as briefly described in Arkhangelsky et al. (2021). To illustrate the importance of this estimator, I use replication data from Abrams (2012), I compare the estimators obtained using...