Jaehyung (Jayhyung)

Jayhyung

Geek Repo

Company:New York University

Location:New York City

Home Page:jhkim@nyu.edu

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Organizations
py-econometrics

Jaehyung's repositories

CausalPy

A Python package for causal inference in quasi-experimental settings

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pyfixest

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

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ivDiag

IV diagnostics package accompanying Lal, Lockhart, Xu, and Zu (2023).

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Experimentation-platform-materials

실험 플랫폼에 대한 자료를 정리한 저장소입니다.

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clubSandwich

Cluster-robust (sandwich) variance estimators with small-sample corrections

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Demand-Estimation

Demand Estimation taught by Jeff Gortmaker and Ariel Pakes

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causal-inference-in-python-code

Code for the Book Causal Inference in Python

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causalml

Uplift modeling and causal inference with machine learning algorithms

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applied_metrics

A PhD course in Applied Econometrics and Panel Data

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TSCB-CCV

Two-Stage Cluster Bootstrap and Causal Cluster Variance for Stata

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causalinference_crashcourse

Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks

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awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

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Blog-Posts

Code and notebooks for my Medium blog posts

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Detecting-Option-Price-Deviation-using-Kalman-Filtering

In this repo, I use State Space Representation and Kalman Filtering technique to detect arbitrage opportunity in option price. In the first step, I formulate state space representation of option and stock price. Updates will be made soon.

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Option_Pricing_ELS_replication_Samsung

In this repo, I describe how to compute the Equity Linked Security product developed by Samsung Security

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ML-Tools-summary

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

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oce-dataset

Datasets for Online Controlled Experiments

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python-bureau-economic-analysis-api-client

A Python API client used to pull and retrieve data from the US Bureau of Economic Analysis

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staggered_did

Stata scripts running recent staggered DID estimators on simulated dataset

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mipfp

Multidimensional Iterative Proportional Fitting and Alternative Models

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Meta_learner-for-Causal-ML

This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.

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lapack

LAPACK development repository

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nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

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Crosswalk-ZipCode-County-CBSA

Create a cross-walk between zip code, county, and metropolitan area information.

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BootCamp2018

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018

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