Estimate two way fixed effect labor models
Project description
pytwoway
Two way fixed effect models for labor in python
Full documentation can be found here.
Quick start:
To install from pip:
pip install pytwoway
To run using command line interface:
pytw --my-config config.txt --akm --cre
Example config.txt:
data = file.csv
filetype = csv
col_dict = "{'fid': 'your_firmid_col', 'wid': 'your_workerid_col', 'year': 'your_year_col', 'comp': 'your_compensation_col'}"
To run in Python:
- If you have data
from pytwoway import twfe_network as tn
# Create twfe object
tw_net = tn.TwoWay(data, formatting, col_dict)
# Prepare data for FE estimator
tw_net.prep_fe()
# Fit FE estimator
tw_net.fit_fe(user_fe)
# Prepare data for CRE estimator
tw_net.prep_cre(user_cluster)
# Run the CRE estimator
tw_net.run_cre(user_cre)
- If you want to simulate data
from pytwoway import sim_twfe_network as sn
# Create simulated twfe object
stw_net = sn.SimTwoWay(sim_params)
# Generate data
sim_data = stw_net.sim_network()
- If you want to run Monte Carlo on simulated data
from pytwoway import sim_twfe_network as sn
# Create simulated Monte Carlo object
smc_net = sn.TwoWayMonteCarlo(sim_params)
# Run Monte Carlo
smc_net.twfe_monte_carlo(N, ncore, akm_params, cre_params, cluster_params)
# Plot results
smc_net.plot_monte_carlo()
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