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Search results for r econometrics

46 search results found

Collapse ⭐ 556

Advanced and Fast Data Transformation in R

Mostly Harmless Replication ⭐ 470

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

Econometricswithr ⭐ 436

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

Data Science Toolkit ⭐ 185

Collection of stats, modeling, and data science tools in Python and R.

Wooldridge ⭐ 167

The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.

Research by Carlos Góes

Econ5170 ⭐ 127

Econ5170@CUHK: Computational Methods in Economics (2020 Spring).

Doubleml For R ⭐ 88

DoubleML - Double Machine Learning in R

Scpoeconometrics ⭐ 80

Undergraduate textbook for Econometrics with R

MSGARCH R Package

Econometrics ⭐ 62

A Swirl course for introductory econometrics

Economics and Pricing in R

Masteringmetrics ⭐ 33

R code for Angrist & Pischke Mastering Metrics

Hayashir ⭐ 29

R Companion to the textbook "Econometrics" by Fumio Hayashi

Factor-Based Imputation for Missing Data

Econometrics Sandbox ⭐ 25

This repository contains the code that creates the dashboards references in the “Econometrics Sandbox” blogpost series publish in the Development Impact blog (https://blogs.worldbank.org/impactevaluations)

R data sets for "Principles of Econometrics" by Hill, Griffiths, and Lim, 4e, Wiley

R package that provides estimation methods for Gravity Models

Rcompangrist ⭐ 18

R companion to Angrist Pischke Mostly Harmless econometrics

Econometrics ⭐ 17

CRAN Task View: Econometrics

Econowcast ⭐ 16

Experimental tools (R) for Big Data econometrics nowcasting and early estimates

Blm Replicate ⭐ 16

Replication package for Bonhomme Lamadon and Manresa paper, A distributional framework for matched data

Obmodeling ⭐ 15

Causal Inference For Data Scientists ⭐ 15

Notebooks of Python and R code which illustrates basic causal inference using simulated data

Wooldridge ⭐ 10

A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (6th ed, J.M. Wooldridge)

Bayesian Inference for Global Vector Autoregressive (GVAR) and Global Vector Error Correction (GVEC) Models

Econometric Algorithms ⭐ 10

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

Profiling Compliers and Non-compliers for Instrumental Variable Analysis

Estimating VARs using sign restrictions in R

R & Stats Books and Websites that I think are good.

Time Series And Econometric Modeling In R

Cvar_portfolio_optim ⭐ 8

ARMA-GARCH Mixture Copula Mean-CVaR portfolio optimization project.

Getspanel ⭐ 8

An implementation of the `gets` package for Panel Models to use indicator saturation

Sparsevar ⭐ 8

R package for sparse VAR estimation

Inference in instrumental variables models robust to many instruments

Econforecasting R ⭐ 8

This is the data scraping & modeling code used for models shown in https://econforecasting.com.

Econ_data_science ⭐ 7

Software used in teaching time series financial econometrics

Spatial Econometrics web app made with R and Shiny

Metrics Mathcamp 2020 ⭐ 6

Harvard Economics department's econometrics math camp material for 2020

Econforecasting Web ⭐ 6

This is the website code for https://econforecasting.com.

Genetic Programming Trading Rules Searching ⭐ 5

It is my research interest and also my fulfilment to my Master of Applied Econometrics research project. This program helps you to combine available technical trading indicators into a tree-structured complex trading rules and genetic programming helps you to evolve those trading rules into better ones.

Rollmatch ⭐ 5

Rolling Entry Matching R Package

Econometrics_at_scale ⭐ 5

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

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