diffindiff: A Python library for convenient difference-in-differences analyses

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

Read full text
Authors: Thomas Wieland
DOI: 10.5281/zenodo.18656820
Cited by: 0

Abstract

What's new (v2.2.7) Functions diddata.DiffData.define_treatment() for constructing a new treatment from a column in the dataframe Bugfixes: didtools.treatment_times() and didtools.is_multiple_treatment_period() now also identify continuous treatments correctly Fixed problematic type conversion in didtools.fit_metrics()

Fields of Study & Subjects

Advanced Causal Inference Techniques Computational Physics and Python Applications Spatial and Panel Data Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 February 2026
Language
EN