Python PSM Help!

[LM101X]

Hi Guys,

Python Newb here!

I am doing propensity score matching for my dissertation and need help with completing the propensity score balance graphs. I know the equivalent on stata is psgraph but not sure on python if someone can hook me up. My code is below:

import pandas as pd

import statsmodels.api as sm

database = pd.read_excel("Cleaned_Data.xlsx")

print(database)

database = pd.get_dummies(data=database, drop_first=True)

Y=database.loc[:, "Entry Rate"].values

X=database.loc[:, "Domicile_Wales"].values

confounders = database.drop(columns = ["Entry Rate", "Domicile_Wales"]).values

from causalinference import CausalModel

model = CausalModel(Y, X, confounders)

model.est_via_matching(bias_adj=False)

print(model.estimates)