## Recently Published

##### Linear Regression

These note discuss how to perform Linear Regression analysis in R including log transformations, dummy variables, and fixed effects.

##### Causal Inference with Linear Models

These notes describe how to perform
- Difference in Differences
- Instrumental Variables
- Regression Discontinuity
In R

##### Limited Dependent Variables

In these notes, we discuss how to estimate the following models
- Probit/Logit
- Multinomial Logit
- Conditional Logit
- Mixed Logit
- Berry 1994

##### Propensity Score Matching

These notes illustrate how to perform propensity score matching in R

##### Count Models

In these notes, we will discuss several types of count models
- Ordered Probit/Logit
- Poisson Model
- Negative Binomial
- Hurdle Model
- Zero Inflated Poisson Model

##### Censoring and Truncated Data

These notes described how to handle censored and truncated data in linear regression. We describe how to run a Tobit Model, a truncated regression, and a Heckman Sample Selection model.

##### Intro to Survival Analysis in R

These notes provide an introduction to survival analysis models including Kaplan Meier model, Cox regression, Weibull, and exponential models.

##### "Fixed Effect Poisson Model in STATA and R"

This document shows you how to calculate cluster robust standard errors in R for the the Fixed Effect Poisson Model. but this method will work with any maximum likelihood based estimation procedure. This particular presentation is useful for those individuals transitioning from STATA to R.

##### Citations

This webpage contains summary results from the public released Louisville Police Department Citation records

##### Dummy_Logs_Interactions

These notes provide an example on using Dummy variables, interactions, and log transformations to run a regression on earnings.

##### Multiple_Regression_Example

These slides provide a simple example of how to estimate simple linear regression and multiple regression in R.

##### Chi Square and F Tests

A short description of the Chi Square and F Tests.

##### Intro_to_econometrics

These are the introductory slides for the first day of class