no code implementations • 24 Sep 2024 • Florian Ederer, Paul Goldsmith-Pinkham, Kyle Jensen
We recover 47, 630 distinct IP addresses of EJMR posters and attribute them to 66. 1% of the roughly 7 million posts made over the past 12 years.
no code implementations • 31 May 2024 • Paul Goldsmith-Pinkham
This paper updates Currie, Kleven, and Zwiers (2020) by examining the credibility revolution across fields, including finance and macroeconomics, using NBER working papers up to May 2024.
no code implementations • 8 Mar 2024 • Arun G. Chandrasekhar, Paul Goldsmith-Pinkham, Tyler H. McCormick, Samuel Thau, Jerry Wei
First, we show that even when measurement error is vanishingly small, such that the share of missed links is close to zero, forecasts about the extent of diffusion will greatly underestimate the truth.
no code implementations • 12 Aug 2023 • Dong Beom Choi, Paul Goldsmith-Pinkham, Tanju Yorulmazer
This paper analyzes the contagion effects associated with the failure of Silicon Valley Bank (SVB) and identifies bank-specific vulnerabilities contributing to the subsequent declines in banks' stock returns.
no code implementations • 22 Sep 2022 • Jacob Wallace, Paul Goldsmith-Pinkham, Jason Schwartz
Political affiliation has emerged as a potential risk factor for COVID-19, amid evidence that Republican-leaning counties have had higher COVID-19 death rates than Democrat-leaning counties and evidence of a link between political party affiliation and vaccination views.
no code implementations • 14 Jan 2022 • Paul Goldsmith-Pinkham, Karen Jiang, Zirui Song, Jacob Wallace
We propose a method for reporting how program evaluations reduce gaps between groups, such as the gender or Black-white gap.
no code implementations • 21 Jun 2021 • Emily Breza, Fatima Cody Stanford, Marcela Alsan, M. D. Ph. D., Burak Alsan, Abhijit Banerjee, Arun G. Chandrasekhar, Sarah Eichmeyer, Traci Glushko, Paul Goldsmith-Pinkham, Kelly Holland, Emily Hoppe, Mohit Karnani, Sarah Liegl, Tristan Loisel, Lucy Ogbu-Nwobodo, Benjamin A. Olken Carlos Torres, Pierre-Luc Vautrey, Erica Warner, Susan Wootton, Esther Duflo
In the second level, we randomly assigned zip codes to either treatment or control such that 75% of zip codes in high intensity counties received the treatment, while 25% of zip codes in low intensity counties received the treatment.
1 code implementation • 9 Jun 2021 • Paul Goldsmith-Pinkham, Peter Hull, Michal Kolesár
We study regressions with multiple treatments and a set of controls that is flexible enough to purge omitted variable bias.
no code implementations • 3 Feb 2021 • Paul Goldsmith-Pinkham, Maxim Pinkovskiy, Jacob Wallace
We use a five percent sample of Americans' credit bureau data, combined with a regression discontinuity approach, to estimate the effect of universal health insurance at age 65-when most Americans become eligible for Medicare-at the national, state, and local level.