Pinned Repositories
academic-kickstart
blowtorch
:exclamation: This is a read-only mirror of the CRAN R package repository. blowtorch — Constrained Optimization Via Stochastic Gradient Descent. Homepage: https://github.com/stevenpollack/blowtorch
BootCamp2017
Repository for OSM Lab Boot Camp 2017
BootCamp2018
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018
bottou-sgd
Leon Bottou's SGD
cik-cusip-mapping
provide cik to cusip links using 13G and 13D filings
Comparison-Programming-Languages-Economics
A Comparison of Programming Languages in Economics
DSGE-archive
A collection of Dynare models
DSGE_mod
A collection of Dynare models
EconometricsWithR
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
sophiamm22's Repositories
sophiamm22/academic-kickstart
sophiamm22/blowtorch
:exclamation: This is a read-only mirror of the CRAN R package repository. blowtorch — Constrained Optimization Via Stochastic Gradient Descent. Homepage: https://github.com/stevenpollack/blowtorch
sophiamm22/BootCamp2017
Repository for OSM Lab Boot Camp 2017
sophiamm22/BootCamp2018
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018
sophiamm22/bottou-sgd
Leon Bottou's SGD
sophiamm22/cik-cusip-mapping
provide cik to cusip links using 13G and 13D filings
sophiamm22/Comparison-Programming-Languages-Economics
A Comparison of Programming Languages in Economics
sophiamm22/DSGE-archive
A collection of Dynare models
sophiamm22/DSGE_mod
A collection of Dynare models
sophiamm22/EconometricsWithR
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
sophiamm22/fedmatch
sophiamm22/ivreghdfe
Run IV/2SLS with many levels of fixed effects (i.e. ivreg2+reghdfe)
sophiamm22/KS_Perturbation_vs_MIT
This code solves the Krusell-Smith model in two ways: Perturbation and MIT shock. More details on the model and the solution approach can be found in the paper: Christian Bayer, Ralph Luetticke (2020). Solving heterogeneous agent models in discrete time with many idiosyncratic states by perturbation methods. Quantitative Economics
sophiamm22/lp_var_simul
Simulation study of Local Projections, VARs, and related estimators
sophiamm22/perturbation_codes
This code produces the results of the paper: Christian Bayer, Ralph Luetticke (2020). Solving heterogeneous agent models in discrete time with many idiosyncratic states by perturbation methods. Quantitative Economics
sophiamm22/phact
sophiamm22/Samurai
Automated Betting Value Calculator
sophiamm22/sophiamm22
sophiamm22/sophiamm22.github.io
sophiamm22/stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
sophiamm22/starter-hugo-academic