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from datetime import datetime, timedelta import subprocess def main(): timestamp = datetime.now().isoformat() print 'Hello, World! It is currently %s.' % timestamp def reschedule(**kwargs): when = datetime.now() + timedelta(**kwargs) timestamp = when.

Running Matlab (interactively no GUI) I’m looking into this issue. One thing I’ve noticed is that starting Matlab takes a long time on the grid. When I start Matlab with the following command:

This post was last updated on 2021-10-26. If you think Python 2.6.6 or R 3.0.2 sound old, I have good news for you. The Conda package manager makes it easy to install the latest and greatest Python and R packages in your home directory.

In empirical studies, data sets with a lot of zeros are often hard to model. There are various models to deal with it: zero-inflated Poisson model, Negative Binomial (NB)model, hurdle model, etc.

This post is inspired by diffuse prior Lewbel’s 2012 paper proposed an estimator based on heteroscedasticity to address the problem of endogeneity without an instrument. This problem has been an issue for many (maybe most) empirical researchers with observational data.