NathalieNF's Stars
tidyverse/ggplot2
An implementation of the Grammar of Graphics in R
paulgp/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
mit-dci/opencbdc-tx
A transaction processor for a hypothetical, general-purpose, central bank digital currency
asjadnaqvi/DiD
Keeping track of what is going on with the latest DiD innovations.
shade-econ/nber-workshop-2022
Code for the Spring 2022 heterogeneous-agent macro workshop
worldbank/stata-tables
Code and writing for blogpost about Stata tables
grantmcdermott/etwfe
Extended two-way fixed effects
juliasilge/tidymodels-tutorial
Introduction to ML with R using tidymodels
worldbank/DIME-LaTeX-Templates
DIME's LaTeX templates and LaTeX exercises teaching anyone new to LaTeX how to use LaTeX and how to use DIME's templates
worldbank/OpenNightLights
Collection of tools and training materials for exploring the open Nighttime Lights repository
anishsingh20/Statistical-Learning-using-R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
mboeck11/BGVAR
Toolbox for the estimation of Bayesian Global Vector Autoregressions in R.
worldbank/debt-data
Projects related to the World Bank's Debt Statistics
hegerty/ECON343
Data, files, and tutorials for ECON 343, "Macroeconomic Data Analysis" (NEIU)
vincentarelbundock/tinysnapshot
Snapshots for unit tests using the tinytest framework for `R`. Includes expectations to test base `R` and `ggplot2` plots as well as console output from `print()`.
worldbank/pipr
R client to the PIP API
NickCH-K/nicksshorts
An R package with some convenience functions for graphing and data cleaning
pruggerd/Structural-Vector-Autoregression-Modeling
I analyze the interplay of three U.S. time series: unemployment, inflation and gross domestic product. The first cleans the data and invests seasonality and stationarity. The second part develops a (structural) vector autoregressive model and test structural identification. The third uses principal compnent analysis and three different quality criterions to forecast quarterly U.S. GDP.
marcoverpas/Italy-SFC-Model
These R codes replicate the models and the experiments discussed in Canelli, Fontana, Realfonzo and Veronese Passarella (2021, 2022, 2024).
michaelkirker/Sectoral-Factor-Model-Code
Model code for the model described the paper "What Drives Core Inflation? A Dynamic Factor Analysis of Tradable and Nontradable Prices"
mihoku/debt-sustainability-analytics
NickCH-K/ManyEconomists
This repository is a central website describing the 2022 Many Economists Project
jmsallan/ESdata
A R package to bring Spanish economic databases into the R environment
joaoarteiro/inflation-analysis-with-r
This project uses the package "rworldmap" and others to display the inflation dataset in a very intuitive way..
mauep2025/Forecast-and-assessment-of-General-Inflation-
This code mainly computes the forecast of headline inflation using different aproaches. Likewise presents the forecast evaluation for each model along different points in a span period.
OgnyanSimeonov/OilShocksLP
In this study, I examine the effect of oil price shocks on four key US macroeconomic indicators -- real interest rates, industrial production, unemployment rate, and inflation. I use local projections to study how a one percent shock in the oil prices affects the US economy, which is essential, given the current volatility in the market for oil. I find that an increase in the oil prices has a strong and significant impact on all four indicators, implying that oil prices play an important role in the state of the US economy.
ghiles10/Econometrics-Inflation-R
ajay-cogsci/MacroeconomicSVaR_Turkey
Implementation of Structural Vector Autoregression and corresponding robustness checks for the Turkish Inflation and chosen macroeconomic indicators
anshpujara14/Inflation-Analysis-In-R
segodou/Debt-sustainability-and-economic-growth-of-developing-country-case-of-ECOWAS-country
Le projet vise mener une démarche scientifique sur un sujet pour rédiger un document scientifique en utilisant R studio. Dans notre cas, le sujet était de voir si la dette des pays de la CEDEAO est-elle soutenable et son impact sur la croissance des Etats.