Displaying 1 to 19 from 19 results

Mind-Expanding-Books - :books: Books that will blow your mind

  •    Python

Curated list of mind expanding books. To the extent possible under law, Vishnu Ks has waived all copyright and related or neighboring rights to this work.

ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments

  •    Python

This repo contains an implementation of Foundation, a framework for flexible, modular, and composable environments that model socio-economic behaviors and dynamics in a society with both agents and governments. The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies, Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher.

fecon235 - Computational tools for financial economics

  •    Jupyter

This is a free open source project for software tools in financial economics. We develop code for research notebooks which are executable scripts capable of statistical computations, as well as, collection of raw data in real-time. This serves to verify theoretical ideas and practical methods interactively. Economic and financial data, both historical and the most current.


  •    Julia

This Julia-language implementation mirrors the MATLAB code included in the Liberty Street Economics blog post The FRBNY DSGE Model Forecast. For the latest documentation on the code, click on the docs|latest button above. Documentation for the most recent model version is available here.

EconData - R package containing a host of datasets useful for economic research

  •    R

R package containing a host of datasets useful for economic research. Complete with raw data and cleaning functions.

bls - A Python library for the Bureau of Labor Statistics API

  •    Python

A Python library for the Bureau of Labor Statistics API. Use the function get_series() to retrieve data. get_series() has four arguments: a series id or sequence of series ids, a start year, an end year, and an optional API key.

econ5170 - Econ5170@CUHK: Computational Methods in Economics (2018 Spring)

  •    Jupyter

Naijia Guo and Zhentao Shi co-teach Econ5170. Zhentao covers the following topics. This README file will be updated as the course progresses. Code scripts will be provided.

pyBEA - Python package for downloading data from the Bureau of Economic Analysis (BEA) data API.

  •    Python

Python package for accessing data from the U.S. Bureau of Economic Analysis (BEA) API. The pyBEA package allows users to extract relevant data from the BEA data API into a Pandas DataFrame for further analysis. at a terminal prompt.

computational-economy - An agent-based computational economy with macroeconomic equilibria from microeconomic behaviors

  •    Java

This is an agent-based computational economics simulator, which is constituted by agent types household, factory, trader, credit bank, central bank and state. The simulator implements a model akin to the Arrow-Debreu model, which adheres to neoclassical microeconomic theory, based on polypoly markets perpetuated by agent market participants. The micro-economic agent behaviors induce complex oscillation patterns attracted to macroeconomic equilibria due to the economic feedback cycles of the system. 💫 Star if you like this work.

gcam-core - GCAM -- The Global Change Assessment Model

  •    C++

The Joint Global Change Research Institute (JGCRI) is the home and primary development institution for GCAM, an integrated assessment tool for exploring consequences and responses to global change. Climate change is a global issue that impacts all regions of the world and all sectors of the global economy. Thus, any responses to the threat of climate change, such as policies or international agreements to limit greenhouse gas emissions, can have wide ranging consequences throughout the energy system as well as on land use and land cover. Integrated assessment models endeavor to represent all world regions and all sectors of the economy in an economic framework in order to explore interactions between sectors and understand the potential ramifications of climate mitigation actions. GCAM has been developed at PNNL for over 20 years and is now a freely available community model and documented online (See below). The team at JGCRI is comprised of economists, engineers, energy experts, forest ecologists, agricultural scientists, and climate system scientists who develop the model and apply it to a range of science and policy questions and work closely with Earth system and ecosystem modelers to integrate the human decision components of GCAM into their analyses.

EconPDEs.jl - PDE solver for economics models

  •    Julia

This package proposes a new, fast, and robust algorithm to solve these ODEs / PDEs. I discuss in details this algorithm here. It is based on finite difference schemes, upwinding, and non linear time steps. The function pdesolve takes three arguments: (i) a function encoding the ode / pde (ii) a state grid corresponding to a discretized version of the state space (iii) an initial guess for the array(s) to solve for.

FixedEffectModels.jl - Linear and IV models with high dimensional categorical variables

  •    Julia

This package estimates linear models with high dimensional categorical variables and/or instrumental variables. Its objective is similar to the Stata command reghdfe and the R function felm. The package is usually much faster than these two options. The package implements a novel algorithm, which combines projection methods with the conjugate gradient descent.

gnosis-exchange - Allows trading of any token pair with an on-chain market maker

  •    Javascript

Allows trading of any token pair with an on-chain market maker. Exchange rates serve as price oracle.

economics-book - :orange_book: Economics Textbook (Openstax)

  •    HTML

This book is also hosted for free on cnx.org as part of openstaxcollege.org. You can read the book by going to the link at the top of this repository page.

RegressionTables.jl - Journal-style regression tables

  •    Julia

This package provides publication-quality regression tables for use with FixedEffectModels.jl and GLM.jl. In its objective it is similar to (and heavily inspired by) the Stata command esttab and the R package stargazer.

0xDeCA10B - Decentralized & Collaborative AI on Blockchain

  •    Python

Decentralized & Collaborative AI on Blockchain is a framework to host and train publicly available machine learning models. Ideally, using a model to get a prediction is free. Adding data consists of validation by three steps as described below. We can also use algorithms that do not require all models parameters to be updated (e.g. Perceptron). We hope to inspire more research in efficient ways to update more complex models.

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