Monte Carlo Simulation comparing the performance of various estimators for panel data with binary dependent variable models

Illustrate CR models with individual heterogeneity (multistate, random-effect, finite-mixture)

Cluster-specific logistic regression models for whether an NBA team will make the playoffs given the current statistics of that team. Specifically uses population averaged models (PA) based on generalized estimating equations (GEE); Also, uses cluster-specific (each team) random effects models

Project for the 2021/22 Advanced Econometrics class at the Faculty of Economic Sciences, University of Warsaw. In this project we build FE and RE panel data models to assess the relationship between firm performance and CEO gender.

Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model

Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies

Connecting the Sustainable Development Goals with climate change and the energy transition

Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage

Fit band-recovery models with temporal random effects

Pitch Adjusted Swipe Rate Above Average (pSRAA)

Evidence synthesis of proportions

Stata and R programs to automatically quasi-demean regressors following FGLS-RE or MLE-RE regression

Demonstration of alternatives to lme4

An R package for I-prior regression

a meta-analysis on the effect of intravenous magnesium on myocardial infarction

Raw files for a document providing an overview of mixed models from varying perspectives.

The main aim of this code is to measure the co-movements along 9 different currencies.

An R package for extracting results from mixed models that are easy to use and viable for presentation.

Functions for using mgcv for mixed models. 📈