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Allister Hodge's Projects

gravity-model-trade-vs-imports icon gravity-model-trade-vs-imports

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.

gvarx icon gvarx

Perform Global Vector Autoregression Estimation and Inference

hdivar icon hdivar

:exclamation: This is a read-only mirror of the CRAN R package repository. hdiVAR — Statistical Inference for Noisy Vector Autoregression

hdtsa-1 icon hdtsa-1

: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

hmmtmb icon hmmtmb

Fit Hidden Markov Models using Template Model Builder: flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.

housing-market-ripple-effects icon housing-market-ripple-effects

Ripple Effects in Swedish Housing Markets. Granger Causality. Engle Granger Cointegration. Vector Autoregressive (VAR) Models.

how-to-clustering-country-in-favor-of-poverty-issue icon how-to-clustering-country-in-favor-of-poverty-issue

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-forecasting icon hox--housing-forecasting

HOX Housing Index. Pseuto-out-of-sample Forecasting. Diebold-Mariano Forecast Optimality. SARIMA/ARIMA Model Specifications. Box-Jenkin Approach.

hsconversion icon hsconversion

Code to convert comtrade data from one HS year to another

icaedesign icon icaedesign

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.

icpsrdata icon icpsrdata

Reproducible data downloads from the ICPSR data archive

imfr icon imfr

: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

inflation-and-output-and-bubbles icon inflation-and-output-and-bubbles

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.

inflation_intrate icon inflation_intrate

Comparison of different measurements of inflation and risk-free interest rate

inflationmodel icon inflationmodel

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.

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