get_motherhood_event_study_data

get_motherhood_event_study_data(
    n_per_country=280,
    start_year=2000,
    end_year=2020,
    seed=2026,
)

Generate a fertility-timing panel for motherhood-penalty event studies.

The DGP encodes: - stronger post-birth penalties in DACH than in Scandinavia - endogenous fertility timing: slower career trajectories lead to earlier births - nontrivial share of never-treated units

Parameters

Name	Type	Description	Default
n_per_country	int	Number of units per country.	280
start_year	int	First year in the panel.	2000
end_year	int	Last year in the panel (inclusive).	2020
seed	int	Random seed for reproducibility.	2026

Returns

Name	Type	Description
	pd.DataFrame	Columns: unit, country, region, year, g, treat, rel_year, log_earnings

Examples

import pyfixest as pf

data = pf.get_motherhood_event_study_data()
data.head()

	unit	country	region	year	g	treat	rel_year	log_earnings
0	1	DE	DACH	2000	2006	0	-6	9.871932
1	1	DE	DACH	2001	2006	0	-5	9.799586
2	1	DE	DACH	2002	2006	0	-4	9.826801
3	1	DE	DACH	2003	2006	0	-3	9.897912
4	1	DE	DACH	2004	2006	0	-2	9.837200

g is the year of first birth and rel_year the event time.