seqHMM (version 2.1.0)

leaves: Synthetic data on fathers' parental leaves in Finland

Description

Synthetic data on fathers' parental leaves in Finland

Format

A data.table with 9281 rows and 9 variables

Details

The leaves data is a synthetic version of the Finnish fathers' leave-taking data used in Helske et al. (2024) and Helske (2025). The data consists of variables

• workplace: Workplace ID.

• father: father ID within workplace. More accurately, this is the birth of a child, i.e. same father can have multiple entries in data, but each entry has separate ID.

• year: Year when the child was born.

• leave: Factor of leave-taking of the father.

• Occupation: Factor of skill level of the father's occupation

• reform2013: Factor indicating whether the father was eligible for the leave under the 2013 reform.

• same_occupation: Logical value, TRUE if father had same occupation as the previous father.

• lag_reform2013: Factor indicating whether the previous father was eligible for the reform.

• lag_occupation: Factor indiciting the occupation of previous father.

References

Helske S, Helske J, Chapman SN, Kotimäki S, Salin M, and Tikka S (2024). Heterogeneous workplace peer effects in fathers’ parental leave uptake in Finland. doi: 10.31235/osf.io/p3chf Helske J (2025). Feedback-augmented Non-homogeneous Hidden Markov Models for Longitudinal Causal Inference. ArXiv preprint. doi:10.48550/arXiv.2503.16014

Examples

data("leaves")
head(leaves)
# convert to stslist
leaves_sequences <- data_to_stslist(
  leaves, id = "workplace", time = "father", responses = "leave",
  seqdef_args = list(cpal = c("tomato", "navyblue", "goldenrod"))
)
stacked_sequence_plot(leaves_sequences)