Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
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Updated
Dec 11, 2024 - Python
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
Linear, IV and GMM Regressions With Any Number of Fixed Effects
Poisson pseudo-likelihood regression with multiple levels of fixed effects
Source code repository for the R package lfe on CRAN.
Summary and diagnostic information for evaluating within-fixed-effect variation.
Fast estimation of generalized linear models with high dimensional categorical variables in Julia
Regression-based multi-period difference-in-differences with heterogenous treatment effects
Estimate an AKM-style two-way fixed effects model using Canadian matched employer-employee data.
The repository provides state-of-arts machine-learning approaches to revamping firm fixed effects models in finance studies.
Bias reduced fixed effect generalized linear models
This repository introduces how to run fixed effects models and do some hypothesis testing in Stata.
Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage
Raw files for a document covering different approaches to dealing with dependent data.
Form fixed effect groups through K-means clustering
Sabanci University ECON 301 (Econometrics) Problem Set Solutions & Stata Analysis
Regression analysis of the Economic Freedom Index. A project for Algorithms class at Columbia.
Connecting the Sustainable Development Goals with climate change and the energy transition
Some files and code from my master thesis about profit shifting among Swiss multinational enterprises.
As part of this project, we have used Regression Analysis on top of a panel data on Guns in USA to determine the "Effect of Shall-Carry Law on Violence Rate and Incarceration Rate in United States".
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