Search Results for author: Paul Goldsmith-Pinkham

Found 7 papers, 1 papers with code

Non-robustness of diffusion estimates on networks with measurement error

no code implementations8 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.

Marketing

Contagion Effects of the Silicon Valley Bank Run

no code implementations12 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.

Excess death rates for Republicans and Democrats during the COVID-19 pandemic

no code implementations22 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.

Measuring Changes in Disparity Gaps: An Application to Health Insurance

no code implementations14 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.

Contamination Bias in Linear Regressions

1 code implementation9 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.

The Great Equalizer: Medicare and the Geography of Consumer Financial Strain

no code implementations3 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.

regression

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