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Name: Allister Hodge
Type: User
Company: Eastern Caribbean Central Bank
Bio: Economist with interest in data science and programming.
Location: St Kitts and Nevis
Name: Allister Hodge
Type: User
Company: Eastern Caribbean Central Bank
Bio: Economist with interest in data science and programming.
Location: St Kitts and Nevis
R Code of Gravity model analysis performed in the JCGS's paper.
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 the disagreement between opposers and supporters of Brexit about the relevance of distance on bi-lateral trade. In this project I will apply a simplified gravity model to estimate the importance of the Gravity-Model variables, e.g. distance using various econometric techniques on statistical programme R and use Excel to clean my data.
R codes to "An Advanced Guide to Trade Policy Analysis: The Structural Gravity Model"
Replication of 'An Advanced Guide To Trade Policy Analysis'
ARTNeT Advanced Workshop on Analysing Trade and Trade Policy with the Structural Gravity Model
Perform Global Vector Autoregression Estimation and Inference
Set of R functions for high-dimensional econometrics
:exclamation: This is a read-only mirror of the CRAN R package repository. hdiVAR — Statistical Inference for Noisy Vector Autoregression
:exclamation: This is a read-only mirror of the CRAN R package repository. HDTSA — High Dimensional Time Series Analysis Tools. Homepage: https://github.com/Linc2021/HDTSA Report bugs for this package: https://github.com/Linc2021/HDTSA/issues
Built panel regression model analyzing the variables effecting Healthcare-Expenses and Quality of 26 OECD countries from 2010-16
Fit Hidden Markov Models using Template Model Builder: flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.
Multidimensional Assessment of Home Mortgage Approval Rate in Washington State
Maps made from the Johns Hopkins Coronavirus Data
Ripple Effects in Swedish Housing Markets. Granger Causality. Engle Granger Cointegration. Vector Autoregressive (VAR) Models.
By highlighting the most famous World Bank Group’s twin goals which is Fighting against Poverty and improving the shared prosperity; had been tried to classifying all countries by their characteristic in poverty indicators published by "world bank"(2019), in the favor of allocating source efficiency throw them. In particular, two well-known and commonly used clustering methods "k-means" and "hierarchical agglomerative", and also Principal Components Analysis had been applied in all 226 countries poverty indicators data. According this paper analysis, countries clustered almost along their social and economic behavior. Countries with the best social indicator were in the second cluster. Countries with the highest variables of "Maternal mortality ratio", "Mortality rate under5" and lowest variable of "Primary completion rate" were in the first cluster. Countries with the highest of economic variable are in the 3th cluster. Countries with the highest of "Incidence of HIV", "Incidence of tuberculosis", "Mortality caused by road traffic injury" and lowest variable of "Contributing family workers for male and female", highest of "GDP per person employed", "Percentage share of income or consumption" are in the 3th cluster.
HOX Housing Index. Pseuto-out-of-sample Forecasting. Diebold-Mariano Forecast Optimality. SARIMA/ARIMA Model Specifications. Box-Jenkin Approach.
Code to convert comtrade data from one HS year to another
Bundles functions that allow the creation of graphics in a style that is consistent with the corporate design of the Institute for Comprehensive Analysis of the Economy (ICAE) at the Johannes Kepler University Linz.
Reproducible data downloads from the ICPSR data archive
WEO IMF Data Anlaysis Toolkit
An R package for IMF data api
:exclamation: This is a read-only mirror of the CRAN R package repository. imfr — Download Data from the International Monetary Fund's Data API. Homepage: https://CRAN.R-project.org/package=imfr Report bugs for this package: https://github.com/christophergandrud/imfr/issues
Replication code for Halpern, Koren and Szeidl, "Imported Inputs and Productivity." American Economic Review.
Inequality in life expactancy
This repository conduct an empirical research on how stock bubbles are affected by changes in inflation and output. The abstract of the research is as follows.
Comparison of different measurements of inflation and risk-free interest rate
Multivariate regression of inflation on unemployment and short-term interest rates. Tests for heteroskedasticity and corrects with HAC estimator. Data set can be found at https://drive.google.com/file/d/1ljW1RylwDdhIVB0wvU9YyHDS6QWlhMhB/view?usp=sharing.
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.