Release v3.0.1

CHANGELOG.md

@@ -7,6 +7,21 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [3.0.1] - 2026-04-07
+
+### Added
+- **`aggregate_survey()`** — new function in `diff_diff.prep` that bridges individual-level survey microdata to geographic-period panels for DiD estimation. Computes design-based cell means and precision weights using domain estimation (Lumley 2004), with SRS fallback for small cells. Returns a panel DataFrame and pre-configured `SurveyDesign` for second-stage estimation. Supports both TSL and replicate-weight variance.
+- **Python 3.14 support** — upgraded PyO3 from 0.22 to 0.28, updated CI and publish workflow matrices, bumped Rust MSRV to 1.84 for faer 0.24 compatibility.
+
+### Changed
+- Updated README Python support matrix to include 3.14
+
+### Fixed
+- Fix domain estimation zero-padding for correct design-based cell variance
+- Fix SRS fallback weight normalization for scale invariance across replicate designs
+- Validate numeric dtype for outcomes/covariates before aggregation (nullable dtype support)
+- Validate grouping columns for NaN values
+
 ## [3.0.0] - 2026-04-07
 
 v3.0 completes the survey support roadmap: all 16 estimators (15 inference-level +
@@ -1197,6 +1212,8 @@ for the full feature history leading to this release.
   - `to_dict()` and `to_dataframe()` export methods
   - `is_significant` and `significance_stars` properties
 
+[3.0.1]: https://github.com/igerber/diff-diff/compare/v3.0.0...v3.0.1
+[3.0.0]: https://github.com/igerber/diff-diff/compare/v2.9.1...v3.0.0
 [2.9.1]: https://github.com/igerber/diff-diff/compare/v2.9.0...v2.9.1
 [2.9.0]: https://github.com/igerber/diff-diff/compare/v2.8.4...v2.9.0
 [2.8.4]: https://github.com/igerber/diff-diff/compare/v2.8.3...v2.8.4

diff_diff/__init__.py

@@ -215,7 +215,7 @@
 EDiD = EfficientDiD
 ETWFE = WooldridgeDiD
 
-__version__ = "3.0.0"
+__version__ = "3.0.1"
 __all__ = [
     # Estimators
     "DifferenceInDifferences",

docs/llms-full.txt

@@ -2,7 +2,7 @@
 
 > A Python library for Difference-in-Differences causal inference analysis. Provides sklearn-like estimators with statsmodels-style output for econometric analysis.
 
-- Version: 3.0.0
+- Version: 3.0.1
 - Repository: https://github.com/igerber/diff-diff
 - License: MIT
 - Dependencies: numpy, pandas, scipy (no statsmodels dependency)

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "maturin"
 
 [project]
 name = "diff-diff"
-version = "3.0.0"
+version = "3.0.1"
 description = "Difference-in-Differences causal inference with sklearn-like API. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies, parallel trends."
 readme = "README.md"
 license = "MIT"

rust/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "diff_diff_rust"
-version = "3.0.0"
+version = "3.0.1"
 edition = "2021"
 rust-version = "1.84"
 description = "Rust backend for diff-diff DiD library"