97 Open source projects that are alternatives of or similar to housing-model

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

Agent-based simulation model for COVID-19 spread in society and patient outcomes

A repository containing code examples around MATSim

Agent Based Fire Evacuation Model built using Project Mesa

AgentPy is an open-source framework for the development and analysis of agent-based models in Python.

A Python-based interpreter for the agent-oriented programming language JASON

Agent-based computational Finance

Agent-based modeling in JavaScript in the browser or on the server.

​The Economic Simulation Library provides an extensive collection of tools to develop, test, analyse and calibrate economic and financial agent-based models. The library is designed to take advantage of different computer architectures. In order to facilitate rapid iteration during model development the library can use parallel computation. Econ…

General-purpose discrete-event multiagent simulation library for agent-based modelling and simulation

An agent-based epidemiology simulation framework built in Rust

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Journal-style regression tables

A Julia package to solve DSGE models

Dichotomy Tests provides interesting tests that show you how inclined you are toward certain philosophical, psychological or political views. Each test tries to discover your preferred beliefs and will attempt to accurately position you along numerous dichotomic axes.

Online research made easy

📚 Books everyone should read!

The QuantGov Library

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

A curated collection of links for economists

Quickly adjust U.S. dollars for inflation using the Consumer Price Index (CPI)

Python package for the simulation and estimation of generalized Roy model

Economics and Pricing in R

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

course on data science for economists

[archived]

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Given a job title and job description, the algorithm assigns a standard occupational classification (SOC) code to the job.

Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)

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

Quickly assemble data from the Panel Study of Income Dynamics (PSID)

Articles/ Journals and Videos related to Economics📈 and Data Science 📊

Python Interface to econdb.com API

R Code Examples Multi-dimensional/Panel Data

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.

Applied Econometrics Library for Python

"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

LightJason - AgentSpeak(L++) for Java

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Fortune 500 company lists since 1955 in CSV format, mostly parsed using Beautiful Soup

For 'Economics Development II' PhD seminar at CUNY Graduate Center. (older site) Generates docs at:

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

Course on Dynamic Stochastic General Equilibrium (DSGE): Models, Solution, Estimation (graduate level)

🔃 Cybernetics Reading Club

design, solve and estimate discrete dynamic programs.

Sharing Updatable Models (SUM) on Blockchain

2018-2019 Quantitative Macroeconomics, UAB

Data Analysis Studies on Value Investing

Microeconometric estimation in Julia

Research by Carlos Góes

Acclimate - an agent-based model for economic loss propagation

Lecture source for "Quantitative Economics with Julia"

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

Software to look for interrelationships between constants and find formulas for number sequences

A Matlab Toolkit for Macroeconomic Models using Value Function Iteration

Nowcasting

GCAM -- The Global Change Analysis Model