"""RAND Health Insurance Experiment Data"""
from statsmodels.datasets import utils as du

__docformat__ = "restructuredtext"

COPYRIGHT = """This is in the public domain."""
TITLE = __doc__
SOURCE = """
The data was collected by the RAND corporation as part of the Health
Insurance Experiment (HIE).

http://www.rand.org/health/projects/hie.html

This data was used in::

    Cameron, A.C. amd Trivedi, P.K. 2005.  `Microeconometrics: Methods
        and Applications,` Cambridge: New York.

And was obtained from: <http://cameron.econ.ucdavis.edu/mmabook/mmadata.html>

See randhie/src for the original data and description.  The data included
here contains only a subset of the original data.  The data varies slightly
compared to that reported in Cameron and Trivedi.
"""

DESCRSHORT = """The RAND Co. Health Insurance Experiment Data"""

DESCRLONG = """"""

NOTE = """::

    Number of observations - 20,190
    Number of variables - 10
    Variable name definitions::

        mdvis   - Number of outpatient visits to an MD
        lncoins - ln(coinsurance + 1), 0 <= coninsurance <= 100
        idp     - 1 if individual deductible plan, 0 otherwise
        lpi     - ln(max(1, annual participation incentive payment))
        fmde    - 0 if idp = 1; ln(max(1, MDE/(0.01 coinsurance))) otherwise
        physlm  - 1 if the person has a physical limitation
        disea   - number of chronic diseases
        hlthg   - 1 if self-rated health is good
        hlthf   - 1 if self-rated health is fair
        hlthp   - 1 if self-rated health is poor
        (Omitted category is excellent self-rated health)
"""


def load():
    """
    Loads the RAND HIE data and returns a Dataset class.

    Returns
    -------
    Dataset
        See DATASET_PROPOSAL.txt for more information.

    Notes
    -----
    endog - response variable, mdvis
    exog - design
    """
    return load_pandas()


def load_pandas():
    """
    Loads the RAND HIE data and returns a Dataset class.

    Returns
    -------
    Dataset
        See DATASET_PROPOSAL.txt for more information.

    Notes
    -----
    endog - response variable, mdvis
    exog - design
    """
    return du.process_pandas(_get_data(), endog_idx=0)


def _get_data():
    return du.load_csv(__file__, "randhie.csv")
