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Pages

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

publications

Benchmarking Global Optimizers

NBER, 2019

Arnoud, Antoine, Guvenen Fatih & Kleineberg, Tatjana. (2019). "Benchmarking Global Optimizers." NBER. https://www.nber.org/papers/w26340

We benchmark seven global optimization algorithms by comparing their performance on challenging multi-dimensional test functions as well as a method of simulated moments estimation of a model of earnings dynamics.

The Evolution of U.S. Firms’ Retirement Plan Offerings: Evidence from a New Panel Data Set

NBER, 2021

Arnoud, Choukhmane, Colmenares, O'Dea, Parvathaneni. (2021). "The Evolution of U.S. Firms' Retirement Plan Offerings: Evidence from a New Panel Data Set." NBER. https://www.nber.org/programs-projects/projects-and-centers/retirement-and-disability-research-center/center-papers/nb20-14

This paper documents, using a newly-constructed data set, the evolution of the characteristics of employer-sponsored DC schemes. The dataset is built using OCR and NLP on hundreds of thousands of documents.