174 Open source projects that are alternatives of or similar to Nowcasting

A Julia package to solve DSGE models

A Matlab Toolkit for Macroeconomic Models using Value Function Iteration

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

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

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

Research by Carlos Góes

Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery

A curated collection of links for economists

Stock market forecasting using the ARIMA model.

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Agent-based computational Finance

Journal-style regression tables

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📚 Books everyone should read!

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

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).

Making Patent Citations Uncool Again

Acclimate - an agent-based model for economic loss propagation

Quantitative Economics with Python

Sequential Monte Carlo algorithm for approximation of posterior distributions.

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

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

Books worth spreading

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.

Applied Econometrics Library for Python

Python based Wikidata framework for easy dataframe extraction

🔃 Cybernetics Reading Club

A Julia interface for retrieving data from the Bureau of Economic Analysis (BEA).

GCAM -- The Global Change Analysis Model

WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series

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.

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

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

Agent-based model of the UK housing market.

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

Python package to compute economic complexity and associated variables

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

Das Nowcasting erstellt eine Schätzung des Verlaufs der Anzahl von bereits erfolgten SARS-CoV-2-Erkrankungsfällen in Deutschland unter Berücksichtigung des Diagnose-, Melde- und Übermittlungsverzugs.

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

a payment application intended for deployment by the united states treasury

Sharing Updatable Models (SUM) on Blockchain

A Python library for anomaly detection

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

Automated Time Series Forecasting

course on the basics of scientific computing for economists

Python Interface to econdb.com API

​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…

Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.

Microeconometric estimation in Julia

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

Download financial reports from SEC's EDGAR. Extract clean textual data from specific item sections and bootstrap your financial NLP research. Software from the research paper published in ECONLP 2021.

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

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

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

Singular Spectrum Analysis for time series forecasting in Python

PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.