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drawing

difference-in-differences estimation and inference for Python

For the following use cases

  • Balanced panels, unbalanced panels & repeated cross-section
  • Two + Multiple time periods
  • Fixed + Staggered treatment timing
  • Binary + Multi-Valued treatment
  • Heterogeneous treatment effects & triple difference

see the Documentation for more details.

NOTE: Please note that in v0.2.0 the .plot() methods have been temporarily removed as well the TWFE class. They will be added back to this library in a future release. Please refer to the Release Notes for a list of changes.

Installing

The latest release can be installed using pip

pip install differences

requires Python >= 3.9

Quick Start

ATTgt

the ATTgt class implements the estimation procedures suggested by Callaway and Sant'Anna (2021) , Sant'Anna and Zhao (2020) and the multi-valued treatment case discussed in Callaway, Goodman-Bacon & Sant'Anna (2021)

from differences import ATTgt, simulate_data

df = simulate_data()

att_gt = ATTgt(data=df, cohort_name='cohort')

att_gt.fit(formula='y')

att_gt.aggregate('event')

differences ATTgt benefited from

  • Callaway & Sant'Anna's did
  • Sant'Anna and Zhao's DRDID