search

bdecon / econ_data

Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.
75 stars 38 forks source link

micro: example of calculating standard errors from CPS microdata #141

Open bdecon opened 5 years ago

bdecon commented 5 years ago

Write up an example of calculating standard errors when making a common calculation from the CPS. For example, what is the unemployment rate and what is 95% CI for that rate?

bdecon commented 5 years ago

Should be based on CPS design to the extent possible. For example, take into account the area a person lives in and the size of that area.

bdecon commented 5 years ago

http://hamelg.blogspot.com/2015/11/python-for-data-analysis-part-23-point.html

https://www.methodsconsultants.com/tutorial/variance-estimation-for-complex-surveys/

https://stats.stackexchange.com/questions/315336/stratified-random-sampling-when-strata-overlap

https://stackoverflow.com/questions/36997619/sklearn-stratified-sampling-based-on-a-column/36998108

https://newonlinecourses.science.psu.edu/stat506/node/27/

https://stackoverflow.com/questions/2413522/weighted-standard-deviation-in-numpy

Some links above--will need to think about this. Start small, including weights, and then, later, try to work on implementations that take into account the various strata.