An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
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Updated
Feb 2, 2025 - R
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
R package to easily build panel data sets from the PSID
Bayesian Inference of Complex Panel Data
an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.
TVP panel data model featuring time-varying network dependence introduced in "Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy"
Solution for ENS - Societe Generale Challenge (1st place).
R tools related to panel data analysis and optimization
Replication code for "RNN-based counterfactual prediction, with an application to homestead policy and public schooling"
provides R codes for all the experiments in the paper "Panel Smooth Transition Regression Models"
Scripts to the build a balanced panel of the 2013 NYC Taxi Data
code repo for "Performance evaluation for forecasting modeling with spatiotemporal structures in data"
Approximate Bayesian inference for mixed effects models with heterogeneity
semiparametric 2-period DiD estimators for the ATT
Replication code for "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction"
Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage
R & STATA code for (1) PPML gravity model (IV generation), (2) panel fixed effect regression (1st stage regression), and (3) local projection method
Dynamic Panel Multiple Threshold Model with Fixed Effects Based on Maximum Likelihood Estiamtion and MCMC
This repository includes different R scripts (with the data used) for the study and application of different topics from the study of Econometrics.
Function for creating time-series plots using ggplot. Updated from legacy project r-ggplotspaghetti
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