endogeneity

There are 1 repository under endogeneity topic.

TatevKaren / econometric-algorithms
Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.
econometrics stata hausman-test ols-regression event-study statistical-tests fixed-effect-model random-effects-model heckman-2-step test-statistics ols time-series-analysis endogeneity python r
Language:Stata 34
BendeguzBiksi / Master-Studies-Econometrics-I
Master Degree Coursework: Econometrics I
stata regression regression-analysis multiple-linear-regression hypothesis-testing coursework instrumental-variable capm elasticity demand supply endogeneity ols-regression ols estimation statistics econometrics data-analysis econometrics-graduate-course
Language:Stata 9
BendeguzBiksi / Master-Studies-Econometrics-II
Master Degree Coursework: Econometrics II
stata regression panel-data panel-analysis mergers ols-regression endogeneity instrumental-variable logit-model logit elasticity market-data marketdata cars-dataset demand supply estimation econometrics econometrics-graduate-course statistics
Language:Stata 3
Econometrics666 / Econometrics-group
This is for Econometrics and other Economics related materials
causality-analysis endogeneity discrete-choice gmm panel-data time-series microeconomics
2
cbw1243 / endoSwitch
Endogenous switching regression model
econometrics r treatment-effects causal-inference endogeneity
Language:R 1
salimwid / Causal_Inference_Train_Ticket_Price_2SLS_IV
[Python] Adopted 2SLS and Instrument Variable to solve the endogeneity problem in predicting train ticket price.
2sls instrument-variable linear-regression causal-inference causality endogeneity econometrics
Language:Jupyter Notebook 1
Sarthak-Mohapatra / Effect-of-Shall-Carry-Law-on-Violence-Rate-in-United-States
As part of this project, we have used Regression Analysis on top of a panel data on Guns in USA to determine the "Effect of Shall-Carry Law on Violence Rate and Incarceration Rate in United States".
exploratory-data-analysis hypothesis-testing heteroskedasticity endogeneity linear-regression panel-data fixed-effects random-effects-model rstudio visualization exploratory-data-visualizations pooled-model log-linear-model machine-learning-algorithms machine-learning
Language:R 1
Sunanda1 / BestBuyCaseAnalysis
Predicting Likelihood to Buy for First-Time Buyers
logistic-regression r endogeneity
1
trajceskijovan / Empirical-study-Causal-effect-and-causal-inference
COVID-19 mortality rate (Python). Original empirical study submitted for the Applied Predictive Modeling course during my second semester at HKBU - Master of Science in Data Analytics and Business Economics.
causal-inference empirical-research covid-19 regression hypothesis-testing t-statistic sargant-test confidence-intervals endogeneity instrumental-variable iv 2sls python statsmodels scipy econometrics
Language:Jupyter Notebook 1
ireneliu521 / BOPS-Strategy-Analysis_Project_R
Evaluate the Buy Online Pick-up in Store (BOPS) strategy with a real-world dataset
endogeneity heteroscedasticity interaction-effect logit marginal-effect multicollinearity osl probit r
0
nicholaspoggioli / code-fixed-effects-regression
Generate longitudinal data and demonstrate the bias caused by failed fixed effects assumptions.
stata fixed-effects regression endogeneity omitted-variable-bias
Language:Stata 0
YexuanShen / Project_ChildImpactOnWomenCareer_2021
Econometrics research project of children's impact on women's project using STATA coding.
big-data econometrics eda endogeneity instrumental-variable stata
0
Nikolay-Lysenko / presentations
This is a collection of miscellaneous studies on various topics such as medicine, economics, and computational experiments.
jupyter-notebooks geroprotectors endogeneity
Language:Jupyter Notebook
thomas-blessy / Endogeneity-Check-in-AR-Time-Series
The “AR-Returns-Predictor” project aims to predict stock returns using an autoregressive (AR) model. We follow a step-by-step process, starting from data collection to model evaluation
autoregressive-models endogeneity
Language:Jupyter Notebook