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FRBNY-DSGE
DSGE.jl
Julia2015–2022
FRBNY-DSGE / DSGE.jl

DSGE.jl

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

13Distinct people
13Mentions
0Explicit recommenders
965GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year13 dated mentions

Observed mentions: 2015-12-03 16:16:49 UTC to 2022-06-18 12:53:08 UTC.

0123452015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC505
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC202
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC202
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC202
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC202

What Hacker News says

13 sources
The thread https://news.ycombinator.com/item?id=31785199 Show HN: A central bank simulator game with a realistic economic model has attracted much interest. This post is by a former University of Chicago macroeconomist and presents Matlab code for simulating the joint dynamics of interest rates, inflation, and unemployment. The author has other posts with Matlab code. A macroeconomic model in Julia used by the New York Federal Reserve is at https://github.com/FRBNY-DSGE/DSGE.jl .
In Is the Fed New-Keynesian?
Except you won't in macroeconomics. The simple problem in macroeconomics is lack of data -- history happened only once so you can't test counterfactuals. You can try to build a model, but the confidence intervals for the next big crash are going to be either useless (way too wide) or bullshit if what you're trying to predict is the next market crash. Building a classifier around it machine learning style will not fundamentally help, either. You can try it: here is an open source, serious, full scale macroeconomic model by the NY Fed [1]. Try to predict the next large crash with it and report back [1] https://github.com/FRBNY-DSGE/DSGE.jl
In Anomaly Detection of Time Series Data Using Machine Learning and Deep Learning
Always fun to point out is that the NY federal reserve switched their full scale model of the economy to Julia last year[1]. It's also open source, so data scientists interested in macroeconomics can feel free to play around with it. Moreover, quant-econ, an academic entity dedicated to scientific programming in the social sciences has a few notebooks in python and Julia [2] [1]https://github.com/FRBNY-DSGE/DSGE.jl [2] http://quantecon.org/notebooks.html
In A Look at How Traders and Economists Are Using the Julia Programming Language
It's naive to think that the Fed just uses some simple Taylor rule or Philips curve model in their policy decisions. Along with having a full staff of economists and research assistants doing econometrics, they have sophisticated microfoundational computational models like the NY Fed's DSGE model[1] (that they recently open-sourced in Julia[2]). There's a lot more to macroeconomic prediction than just "adding another variable." [1] http://libertystreeteconomics.newyorkfed.org/2014/09/forecas... [2] https://github.com/FRBNY-DSGE/DSGE.jl
In The Mystery of Missing Inflation Weighs on Fed Rate Move

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