schoulten
I’m a data scientist specialized in economics and finance. I try to solve real world problems with simple models.
@analisemacroproBrazil
Pinned Repositories
crypto_scrap
Cryptocurrency Prices Web-Scraping with GitHub Actions
dash_inflation
Dashboard for analyzing inflation in Brazil
ibov-heatmap-calendar
IBOVESPA Heatmap Calendar: daily return (%)
juro-real
Cálculo da taxa de juros real da economia brasileira
macro_report
Brazil inflation analysis report (portuguese)
macroview
Dashboard: Macroeconomic Data of Brazil
meedr
MacroEconomic Expectations Data in R using the Central Bank of Brazil API
tidyipea
(WIP: do not use; use gomesleduardo/ipeadatar) Get data from IPEADATA using R
schoulten's Repositories
schoulten/juro-real
Cálculo da taxa de juros real da economia brasileira
schoulten/tidyipea
(WIP: do not use; use gomesleduardo/ipeadatar) Get data from IPEADATA using R
schoulten/ibov-heatmap-calendar
IBOVESPA Heatmap Calendar: daily return (%)
schoulten/Applied_Economic_Forecasting
Applied Economic Forecasting Using Time Series Methods Book by Eric Ghysels and Massimiliano
schoulten/bimets-1
MARTIN Macro Model in R
schoulten/caretForecast
Forecasting using caret package infrastructure
schoulten/coding-for-economists
This repository hosts the code behind the online book, Coding for Economists.
schoulten/CPI_HRNN
Forecasting CPI Inflation with Hierarchical Recurrent Neural Networks
schoulten/economia-chimarrao
A economia do chimarrão: análise exploratória de dados
schoulten/experimentdatar
Datasets used in the AEA 2018 Continuing Education "Machine Learming and Econometrics" (Athey and Imbens, 2018)
schoulten/FAVAR
VAR and FAVAR models in R for 8th semester project
schoulten/ForecastingInflation
Forecasting Inflation in a data-rich environment: the benefits of machine learning methods
schoulten/GARCH-RAC
Repository for GARCH tutorial paper in RAC
schoulten/hpconf
Confidence bands for the Hodrick-Prescott (HP) Filter as proposed by Giles (2013)
schoulten/hybrid-model-on-european-unemployment-rate
Unemployment rate prediction of a country is a key factor for country's economic and financial growth and a challenging job for the policymakers. Here we tried to propose a novel integrated approach based on linear and non-linear models that can predict unemployment rates more accurately.
schoulten/indprod
industrial production forecasting
schoulten/lpirfs
schoulten/macroLectures
Macroeconomics at Claremont Graduate University
schoulten/MARTIN
RBA's MARTIN Macroeconometric Model of the Australian Economy
schoulten/OutputGap
Code for Output Gap shiny app developed by Francisco Sabido and available at https://frsabido.shinyapps.io/OutputGap/
schoulten/rgamer
rgamer: An R package for teaching and learning game theory
schoulten/rjdssf
schoulten/varstan
Bayesian Vector Auto-Regressive models in Stan