moderndid.load_cai2016#

moderndid.load_cai2016() → DataFrame[source]#

Load the Cai (2016) agricultural insurance dataset.

This dataset contains household-level panel data from rural Jiangxi province in China (2000-2008), used to study the effects of weather-indexed crop insurance on household saving behavior. The People’s Insurance Company of China (PICC) introduced crop insurance for tobacco farmers in select counties in 2003, creating a triple difference-in-differences (DDD) design with three sources of variation: treatment region, household eligibility (tobacco vs non-tobacco farmers), and time (pre/post 2003).

The dataset includes all households with non-missing outcome and covariate values, forming an unbalanced panel of 3,659 households (32,391 observations). Most households are observed in all 9 years, but some have fewer observations.

Returns:
polars.DataFrame

A DataFrame with the following columns:

  • hhno: Household identifier

  • year: Year (2000-2008)

  • treatment: Treatment region indicator (1 if in treated county, 0 otherwise)

  • sector: Eligibility indicator (1 for tobacco farmers, 0 for non-tobacco)

  • checksaving_ratio: Flexible-term saving ratio (outcome variable)

  • savingtotal_rate: Total saving rate

  • hhsize: Household size

  • age: Age of head of household

  • educ_scale: Education level of head of household

  • county: County identifier (for clustering)

References

[1]

Cai, J. (2016). The impact of insurance provision on household production and financial decisions. American Economic Journal: Economic Policy, 8(2), 44-88.

[2]

Ortiz-Villavicencio, J. & Sant’Anna, P. H. C. (2025). Triple Differences with Multiple Periods. arXiv preprint arXiv:2505.09942.

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