Topic: econometric-analysis Goto Github
Some thing interesting about econometric-analysis
Some thing interesting about econometric-analysis
econometric-analysis,Project for the Econometrics class using R Markdown
User: 14ivanperez
econometric-analysis,En este repositorio encontrar谩 el desarrollo de un proyecto para realizar la predicci贸n del euro y el d贸lar respecto al peso colombiano y el bitcoin con respecto al d贸lar estadunidense, mediante la aplicaci贸n de series temporales y redes neuronales
User: 2012-cevp
econometric-analysis,Utilized various econometric models to study the influence of different variables has on the happiness of people around the world.
User: alecng27
Home Page: https://alecng27.github.io/Happiness_Economics_Research/
econometric-analysis,The index calculates the average annual purchasing power of all EU Member States by using the average net income of a worker from a given country and its price level index relative to the other member states. Aditionally, an interactive dashboard has been developed using Microsoft Power Bi.
User: alejandro-sanchez-gomez
econometric-analysis,Files to reproduce my Ph.D. thesis, entitled "Carry trade effects in developed and developing countries: the cases of Switzerland and Brazil". This thesis was defended on February 15, 2022 at the Univ. Grenoble Alpes (UGA). I finished the Ph.D. programme in Economis in the Centre for Research in Economics in Grenoble (CREG), which is linked to the Doctoral School in Economics (ED SE).
User: bttomio
econometric-analysis,2SLS IV regression with Python
User: calosor
econometric-analysis,estimating the impact of monetary policy shocks to sectoral activity in Indonesia (based on a paper wrote by Ibrahim (2005))
User: farouqisme
econometric-analysis,Pokro膷il谩 ekonometrie 2
User: formanektomas
econometric-analysis,
User: freddyacuna
econometric-analysis,An Econometric Analysis of North Carolina Crime Data from 1987
User: gregtozzi
econometric-analysis,Data about 5,634 married women (out of which 3,286 are reported being in the labor force) is taken from the Wooldridge Current Population Survey (CPS91) Database for Wage/Income analysis. There are 24 variables that give information about married women, their husbands, their demographics, if they belong to any unions, or are a part of labor forces, whether they have kids, etc. This data is used to get an estimate of the standard wages equation of women using the Ordinary Least Square (OLS) method a.k.a. Linear Regression. The education level, years of experience, race, ethnicity are the independent variables (predictors) that drive the behavior of the dependent variable - income.
User: hetashah27
econometric-analysis,This repository contains the assignment of Macro-Econometric Forecasting by IMFx.
User: jaishreejoshita
econometric-analysis,
User: jolly-io
econometric-analysis,Stardew Valley earnings by different crop type calculator
User: kowalskiexe
econometric-analysis,Analysis of income inequality and pollution (water and air) in India.
User: mew-two-github
econometric-analysis,Data and Methodology for Zonal DiD Estimation of School Shooting Impact on Labor Dynamics Research
User: mnahhas444
Home Page: https://www.linkedin.com/in/michael-v-nahhas/
econometric-analysis,Data and Methodology for Synthetic Control and DiD Estimation of Gun Law Mortality Research
User: mnahhas444
Home Page: https://www.linkedin.com/in/michael-v-nahhas/
econometric-analysis,Coding projects I have worked on, in R and Python. Predominantly includes utilizing code to recreate the Black Sholes Model, Greek Option calculator, Stochastic Process and Brownian Motion and other data science applications for finance. Python was also used primarily for machine learning applications in finance, using various functions from sklearn, random forests, among others to perform predictive analysis on data such as forecasting bitcoin prices, predicting loan default probability, and building neural networks with TensorFlow. R project involves importing datasets from excel as well as using R functions to relabel and tweak datasets that were initially incompatible. R was predominantly used to perform econometric analysis of data as well as basic statistical functions like finding P value and T value.
User: neilyejjey1999
econometric-analysis,Proyecto sobre la volatilidad de las criptomonedas con Econometr铆a.
User: oscar-sbuen
econometric-analysis,Aplicaci贸n de la Metodolog铆a Box-Jenkins que pretende mostrar una herramienta estad铆stica de an谩lisis univariante para la predicci贸n de una empresa que cotice en un mercado continuo y el precio objetivo de la compa帽铆a, es decir, su acci贸n.
User: percastremarco
econometric-analysis,An谩lise da s茅rie hist贸rica Dados Hist贸ricos Petrobras A莽玫es Ordin谩rias - PETR3_SA 2020-10-07 00:00:00 at茅 2023-10-06 00:00:00
User: rafaelll92
econometric-analysis,Notebooks for a short course on urban econometrics, also covering causal inference methods such as experiments, matching, difference in difference, instrumental variables, etc.
User: rpasquini
econometric-analysis,Econometrics Reports | Spring 2023
User: ruoheng-du
econometric-analysis,Our group intended to do a state-wise analysis over the course of 6 years (2010-2015) to analyze the performance of Indian states and Union Territories post the implementation of the Right to Education Act of 2009, which came into force in 2010. The variables with respect to which we鈥檒l be checking the performance of the states are- 1) No. of schools in every state 2) No. of teachers in every state 3) School Enrollment
User: vanisha-bardar
econometric-analysis,Mobile App Solution for Portfolio Analytics and Investment Management
User: vinnitschenko
Home Page: https://statmetrics.org
econometric-analysis,Reposit贸rio com algumas fun莽玫es de econometria em Python
User: vnery5
econometric-analysis,Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).
User: xxl4tomxu98
econometric-analysis,An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages like R statistical programming language with R Studio could also be used.
User: xxl4tomxu98
econometric-analysis,Contains R scripts and markdowns documenting my learning journey on econometrics and portfolio optimization. Looking to include machine learning in the future.
User: zheng-liang
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