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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Bellman Equations and Data Cleaning
Published:
We look at a kinda cool way to clean some data using Bellman equations.
Goodman-Bacon Decomposition Package
Published:
Introducing the R version of the Goodman-Bacon decomposition package with Evan Flack!
Weak IV And Bayesian Hierarchical Models
Published:
Using horseshoe priors with the weak instruments problem.
Signal Analysis and Data Cleaning
Published:
How we cleaned data using autocorrelation functions
MSc Thesis
Published:
I’m writing these excerpts 3 years later and gee I really wanted my MSc thesis to live on past me and be recorded on the internet throughout the ages for posterity.
MSc Thesis and Docker
Published:
My awful MSc essay, uploaded here for posterity and embarrassment
Metamers and Mankiw, Romer and Weil
Published:
This one was kinda cool, invariant statistical properties and data analysis
Modelling and Visualising London Tube Data
Published:
Tube data visuallisations, who doesn’t love those?
Visualising Savings and Depreciation Curves
Published:
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Clustering and Dimensionality Reduction with ‘A Contribution to the Empirics of Economic Growth’
Published:
I did some clustering to MRW, what happens? Read on and find out.
Empirics of Economic Growth Replicated, Revisited II
Published:
The second post in the long awaited empirics of economic growth blog series
Empirics of Economic Growth Replicated, Revisited I
Published:
The blog post that started it all
code
bacondecomp
bacondecomp is an R package with tools to perform the Goodman-Bacon decomposition for differences-in-differences with variation in treatment timing.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
research
teaching
Big Data Tools for Economics
Third Year Undergraduate course, UChicago, Kenneth Griffin Department of Economics, 2021
I TA’ed Big Data Tools for Economics for Professor Thibaut Lamadon - his course website can be found here. The course is taught in Python and focused on computational methods applied to ‘big’ datasets for causal inference.
Honors Econometrics
Honors Undergraduate course, UChicago, Kenneth Griffin Department of Economics, 2022
I TA’ed the first course in UChicago’s Honors Econometrics sequence under Francesco Ruggieri.
Honors Econometrics
Undergraduate course, UChicago, Kenneth Griffin Department of Economics, 2022
I TA’ed the first course in UChicago’s non-Honors Econometrics sequence under Thomas Wiemann.