We also add other control variables: age, squared age, educational level, marital status, binary indicators of the head of household and of whether the individual (or her/his spouse) is in charge of household chores, labor status of the spouse, per capita family income, family size, number of members by age and gender, region fixed effects, and time fixed effects (quarters).
The selection equation to obtain Heckman's two-step consistent estimates includes the following control variables: age; squared age; educational level; marital status; binary indicators of the head of household, if she lives in poor, informal households with children, and of whether the woman (or her spouse) is in charge of household chores; region fixed effects; and time fixed effects (quarters).
We also add other control variables: age, squared age, educational level, marital status, the activity sector in which she is employed, binary indicators of the head of household and of whether the woman is in charge of household chores, labor status of her spouse, per capita family income, family size, number of members by age and gender, region fixed effects, and time fixed effects (quarters).
Summary scores and binary indicators of the clinical diagnoses were created to allow comparison of the six risk adjustment approaches in predicting the two outcomes, in-hospital mortality and six-month mortality.
Based on responses to the two questions we construct binary indicators of the most recent illness, primary care clinic visit, and informal care visit for the following recall periods: past month, and past year.
First we utilize the logistic regression model to distinguish the most important symptoms of influenza infection by fitting a logistic regression model to the binary influenza infection outcome in the sample, using binary indicators of the influenza-like symptoms as predictors.
To characterize provider supply, we included the binary indicator of whether the state allowed nurse practitioners to practice independently and/or prescribe medicine as a state-level policy variable, following Traczynski and Udalova [24]b.
Smoking status was self-reported and recoded as a binary indicator of whether the participant was a smoker at the time of the interview.
The 'disproportional reporting' variable is a binary indicator of whether the combination is disproportionally reported, either on the full dataset or a subset thereof.
