In Defense of Logit – Part 1
In a recent guest blog, Paul von Hippel extended his earlier argument that there are many situations in which a linear...
Mar 28, 2017
When Can You Fit a Linear Probability Model? More Often Than You Think
In July 2015 I pointed out some advantages of the linear probability model over the logistic model. The linear model is...
Mar 08, 2017
Causal Mediation Analysis
On April 21-22, 2017, I will be offering a seminar on causal mediation analysis in Philadelphia with Statistical Horizons. The course...
Mar 06, 2017
Teaching Stata in Bangladesh
When Paul Allison asked me if I wanted to teach a course in Bangladesh, my first reaction was confusion. Other than...
Sep 18, 2015
Linear vs. Logistic Probability Models: Which is Better, and When?
In his April 1 post, Paul Allison pointed out several attractive properties of the logistic regression model. But he neglected to consider...
Jul 05, 2015
Don’t Put Lagged Dependent Variables in Mixed Models
When estimating regression models for longitudinal panel data, many researchers include a lagged value of the dependent variable as a predictor....
Jun 02, 2015
Maximum Likelihood is Better than Multiple Imputation: Part II
In my July 2012 post, I argued that maximum likelihood (ML) has several advantages over multiple imputation (MI) for handling missing data:...
May 05, 2015
What’s So Special About Logit?
For the analysis of binary data, logistic regression dominates all other methods in both the social and biomedical sciences. It wasn’t...
Apr 01, 2015
Imputation by Predictive Mean Matching: Promise & Peril
Predictive mean matching (PMM) is an attractive way to do multiple imputation for missing data, especially for imputing quantitative variables that...
Mar 05, 2015
Getting the Lags Right
In my November and December posts, I extolled the virtues of SEM for estimating dynamic panel models. By combining fixed effects...
Feb 10, 2015
More on Causal Inference With Panel Data
This is a follow-up to last month’s post, in which I considered the use of panel data to answer questions about...
Nov 25, 2014
Using Panel Data to Infer Causal Direction: ML vs. Arellano-Bond
Does x cause y or does y cause x? Virtually everyone agrees that cross-sectional data are of no use in answering...
Nov 03, 2014