Alternatives and similar repositories for weo-reader:

Users that are interested in weo-reader are comparing it to the libraries listed below

• jessegrabowski / gEconpy
  A collection of tools for working with DSGE models in python, inspired by the R package gEcon
  ☆29Updated last month
• as4456 / Leo_Krippner_SSR
  Contains Python code and files used to estimate shadow rate using Krippner's K-ANSM(2) with an estimated lower bound term structure model
  ☆15Updated 4 years ago
• ncachanosky / Macro-with-Python
  Macro with Python
  ☆54Updated 3 years ago
• lnsongxf / Applied_Computational_Economics_and_Finance
  ECON457 2018 Applied Computational Economics and Finance
  ☆27Updated 7 years ago
• bashtage / AFE2020
  Advanced Financial Econometrics - Trinity Term 2020
  ☆28Updated 4 years ago
• dhopp1 / nowcast_lstm
  LSTM neural networks for nowcasting economic data.
  ☆64Updated last year
• Stellenbosch-Econometrics / AdvancedTimeSeries-872
  Bayesian methods for time series analysis with code in Julia
  ☆14Updated last year
• marcinbielecki / Applied_Macroeconomics
  Applied Macroeconomics, a course taught at the University of Warsaw
  ☆20Updated 4 years ago
• kokoff / deep-forecast
  Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject
  ☆13Updated 6 years ago
• davidrpugh / pyBEA
  Python package for downloading data from the Bureau of Economic Analysis (BEA) data API.
  ☆71Updated 4 years ago
• bdecon / econ_data
  Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.
  ☆83Updated 3 months ago
• econ-ark / DemARK
  Demonstrations of how to use material in the Econ-ARK
  ☆34Updated last month
• bank-of-england / InterpretableMLWorkflow
  ☆16Updated 10 months ago
• us-bea / beaapi
  A Python library library to make it easier to retrieve and work with BEA data.
  ☆38Updated last year
• open-risk / scenarioGenerator
  A python library for generating macro-economic scenarios
  ☆10Updated 4 months ago
• QuantEcon / dynamic_factor_models
  ☆39Updated 6 years ago
• enexqnt / RBAA
  Regime Based Asset Allocation with MPT, Random Forest and Bayesian Inference
  ☆25Updated 2 years ago
• IMFGAR / GaR
  ☆60Updated 8 months ago
• dazhwu / pydynpd
  This python package estimates dynamic panel data model using difference GMM and system GMM.
  ☆28Updated 3 months ago
• dhopp1 / nowcasting_benchmark
  Accompaniment to nowcasting benchmark paper, illustrating how to estimate each of the methods examined in either R or Python.
  ☆45Updated last year
• gusamarante / dsgepy
  Calibrate, estimate and analyze linearized DSGE models.
  ☆34Updated last month
• andi-jo / ML_projection_toolbox
  Simple wrapper for machine learning models in the context of lead-lag projection modelling.
  ☆25Updated 6 years ago
• AndreaPasqualini / numerical_methods_macroeconomics
  A repository for TA sessions of a Quantitative Macroeconomics PhD course at Bocconi University. Some non-related but neighboring material…
  ☆36Updated 4 years ago
• QuantEcon / lecture-python-advanced.myst
  Advanced Quantitative Economics with Python
  ☆29Updated last month
• eurostat / econowcast
  Experimental tools (R) for Big Data econometrics nowcasting and early estimates
  ☆32Updated 4 years ago
• irudnyts / estudy2
  An Implementation of Parametric and Nonparametric Event Study
  ☆14Updated 5 months ago
• wilsonfreitas / oplib
  Option Volatility and Pricing Models.
  ☆12Updated 2 months ago
• john-friedman / txt2dataset
  Convert unstructured text into structured datasets
  ☆13Updated 3 months ago
• arpitrage / Dividend_Strip
  Contains data and documentation for paper: "Valuing Private Equity Investments Strip by Strip" with Arpit Gupta and Stijn Van Nieuwerburg…
  ☆22Updated 3 years ago
• jonathantelliott / electricity-investment
  code to replicate "Investment, Emissions, and Reliability in Electricity Markets," by Jonathan Elliott
  ☆11Updated last year