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Name: sanguovbobo
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Name: sanguovbobo
Type: User
Gravity Modeling Environment by USITC
GPT RStudio addins that enable GPT assisted coding, writing & analysis
Graduate Empirical Industrial Organization
R package that provides estimation methods for Gravity Models
Estimates parameters of EK(2002) or Waugh(2010) via STATA and computes bilateral trade flows via simmulation
In this jupyter notebook was provided a new approach of building a gravity trade model. Linear models, KNN, Bagging and Boosting were used.
One of the most widely used empirical models to estimate trade flows is the Gravity Model that is based on Newton’s “Law of Universal Gravitation”. This model predicts that the trade flows between two countries will be positively affected by their respective sizes, but negatively by distance. This model has recently come into the spotlight due to t
Data Analysis on world GDP data of 2016 to show the Gravitational Model for the UK.
Trade models
A play with some web scraping in R and an excuse to explore gravity trade models
Global Value Chain tools
Analyzing data to model (using the logistic function and its variants) the growth of two industrial organizations, IBM and Hewlett-Packard in MATLAB.
International Trade Network Analysis in R. This package can clean and transform international trade data from WITS (http://wits.worldbank.org/) into a international trade network and undertake descriptive analysis
Reproducibility repository for paper with title: The World Trade Web: A Deep Learning Approach to Link Weight Prediction by Miguel Lozano. Abstract: Building on the Gravity Model of Trade, this paper uses a deep neural network with the purpose of link weight prediction in the world trade web (WTW), this is, predicting the magnitude of the trade interactions between countries. The inputs for prediction are characteristics of the interacting countries like trade openness and freedom, as well as their bilateral relationship traits, which include variables like distance between them and booleans such as whether they are in the same continent, share borders, language, ethnicity, trade agreements, legal system, among others. The results of using deep learning are favorable, improving performance obtained by multiple regression by as much as 8%
Dynamic stochastic models of long run economic growth implemented in MATLAB
A Chinese edition of the Not So Short Introduction to LaTeX2ε
study
The DSGE model with endogenous growth created by Tom Holden and Shifu Jiang as part of the MONROE project.
嵩天Python语言程序设计
Source code for 'Numerical Python Second Edition' by Robert Johansson
Data cleaning, manipulation, and visualization for U.S. and China reliance over time on foreign countries for computer electronics and electrical equipment inputs
Panel_thresh_endogeneous/panel_thresh_endogenous.m extends the MATLAB proccedure IVTAR.M written by Bruce E. Hansen as described in Kremer, Bick and Nautz "Inflation and Growth: New Evidence From a Dynamic Panel Threshold Analysis" (Empirical Economics,44(2), April 2013, 861-878) to estimate a Dynamic Panel Threshold Model.
Code and algorithms for "Equilibrium Technology Diffusion, Trade, and Growth"
This is the course homepage of Advanced Macroeconomics II of Jinan University in Fall, 2021.
Computations of probabaility revealed comparative advantage (pRCA), defined as probability of holding RCA >1 the following year, gibven current level of RCA, country and product export market size.
Computational economics in Python
python 语言程序设计基础(第二版) 嵩天 礼欣 黄天羽 著 书上代码
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.