Sungmin Park (sungminparkecon)

sungminparkecon

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Company:The Ohio State University

Location:Columbus, OH

Home Page:www.sungminparkecon.com

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Sungmin Park's starred repositories

ekw-data

benchmark datasets for our work on Eckstein-Keane-Wolpin models

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estimagic

Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.

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respy

Framework for the simulation and estimation of some finite-horizon discrete choice dynamic programming models.

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econ-bst

BibTeX style file for economics.

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awesome-economics

A curated collection of links for economists

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OpenVic

Main Repo for the OpenVic Project

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sympy

A computer algebra system written in pure Python

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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pioneer

A game of lonely space adventure

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matplotlib

matplotlib: plotting with Python

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sequence-jacobian

A unified framework to solve and analyze heterogeneous-agent macro models.

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pyhdfe

High dimensional fixed effect absorption with Python 3

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oolite

The main Oolite repository.

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JambroBeamerTheme

JambroBeamerTheme

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python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

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Unciv

Open-source Android/Desktop remake of Civ V

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linearmodels

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

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emoji-keyboard

Type emoji easily! Virtual keyboard-like emoji palette for Linux with [fewer] of features.

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jabref

Graphical Java application for managing BibTeX and biblatex (.bib) databases

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QuantMacro

2018-2019 Quantitative Macroeconomics, UAB

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macro_puzzles

Collection of puzzles in macroeconomics

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cpython

The Python programming language

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rdrobust

Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.

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ondemand

Supercomputing. Seamlessly. Open, Interactive HPC Via the Web

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feather

Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow

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JuliaDB.jl

Parallel analytical database in pure Julia

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Binscatters.jl

Stata's Binscatter for Julia

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