Paul Goldsmith-pinkham

Associate Professor Of Finance

New York, New York, United States
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Summary

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Paul Goldsmith-Pinkham is an Associate Professor of Finance at Yale School of Management who brings rigorous empirical methods to real-world finance questions. A Harvard Ph.D. in Economics with an undergrad in Economics and Mathematics from Swarthmore, he spent formative years as an economist at the Federal Reserve Bank of New York before entering academia. He is skilled at turning advanced causal-inference concepts into reproducible teaching tools—his applied-methods-phd GitHub repo includes R code and visualizations for randomization, propensity scores, survival curves, and likelihood demonstrations used in PhD coursework. Based in New York, he blends policy experience, pedagogical clarity, and research depth to train empirical researchers and address practical financial problems.
code11 years of coding experience
job6 years of employment as a software developer
bookB.A., Economics,Mathematics, B.A., Economics,Mathematics at Swarthmore College
bookDoctor of Philosophy (Ph.D.), Economics, Doctor of Philosophy (Ph.D.), Economics at Harvard University
languagesFrench
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Github Skills (12)

data-visualizations10
data-visualization10
data-visualisation10
causal-inference10
r10
ggplot9
ggplot29
statistical-modeling9
statistical-modelling9
probability-distribution8
statistics8
distributions8

Programming languages (8)

RRustSchemeTeXHTMLStataRubyPython

Github contributions (5)

github-logo-circle
paulgp/applied-methods-phd

Jan 2021 - Jan 2023

Repo for Yale Applied Empirical Methods PHD Course
Role in this project:
userData Scientist
Contributions:1 review, 147 commits, 3 PRs in 2 years
Contributions summary:Paul contributed to the applied empirical methods course by implementing and visualizing concepts related to randomization, propensity scores, and causal inference. They wrote R code to generate histograms, density plots, and survival curves to illustrate theoretical concepts. The user also created code to demonstrate the effect of treatment and model the likelihood function using code examples.
yalepythonr-programminglinear-modelstextbook
paulgp/paulgp.github.io

Jul 2015 - Jan 2023

Website
Contributions:304 commits, 4 PRs, 494 pushes in 7 years 7 months
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