Module Expr Str Assign NameStore Str Assign NameStore Str Assign NameStore NameLoad Assign NameStore Str Assign NameStore Str Assign NameStore Str Assign NameStore Str ImportFrom alias alias alias ImportFrom alias identifier ImportFrom alias alias Assign NameStore BinOpMod Str TupleLoad Call NameLoad Call NameLoad NameLoad Str FunctionDef arguments args defaults body Expr Str Assign NameStore Call NameLoad Return Call AttributeLoad NameLoad attr NameLoad keyword Num keyword NameLoad decorator_list FunctionDef arguments args defaults body Expr Str ImportFrom alias Assign NameStore Call NameLoad NameLoad Return Call AttributeLoad NameLoad attr NameLoad keyword Num decorator_list FunctionDef arguments args defaults body With Call NameLoad NameLoad Str NameStore body Assign NameStore Call NameLoad NameLoad keyword Str keyword NameLoad keyword NameLoad Return NameLoad decorator_list
N/A N/A RAND Health Insurance Experiment Data N/A __docformat__ restructuredtext N/A COPYRIGHT This is in the public domain. N/A TITLE __doc__ N/A 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.
 N/A DESCRSHORT The RAND Co. Health Insurance Experiment Data N/A DESCRLONG N/A 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)
 numpy recfromtxt column_stack array statsmodels.datasets utils du os.path dirname abspath N/A PATH N/A %s/%s N/A N/A dirname N/A abspath __file__ randhie.csv load N/A N/A N/A N/A N/A 
    Loads the RAND HIE data and returns a Dataset class.

    ----------
    endog - response variable, mdvis
    exog - design

    Returns
    Load instance:
        a class of the data with array attrbutes 'endog' and 'exog'
     N/A data N/A _get_data N/A N/A N/A du process_recarray data endog_idx 0 dtype float N/A load_pandas N/A N/A N/A N/A N/A 
    Loads the RAND HIE data and returns a Dataset class.

    ----------
    endog - response variable, mdvis
    exog - design

    Returns
    Load instance:
        a class of the data with array attrbutes 'endog' and 'exog'
     pandas read_csv N/A data N/A read_csv PATH N/A N/A N/A du process_recarray_pandas data endog_idx 0 N/A _get_data N/A N/A N/A N/A N/A N/A open PATH rb f N/A N/A data N/A recfromtxt f delimiter , names True dtype float N/A data N/A