The variable GENDER is a binary variable equal to one for "female" admissions.
The "OWNERSHIP" variable is a binary variable equal to one if the hospital is a for-profit hospital.
Where Neonatal is a binary variable equal to 1 if the child died in the neonate stage and zero otherwise.
A binary variable equal to 1 if machine (m) is located at location (l) in time period (t); 0 otherwise.
Therefore, we estimated our basic model using the variable Died in Hospital, which is a binary variable equal to one if the individual died in the hospital.
Binary Variables: (alpha _{m,l,t}) A binary variable equal to 1 if machine (m) is located at location (l) in time period (t); 0 otherwise.
The second one is an approximation of whether the respondent is disability insured, which is a binary variable equals to one if the respondent had positive earnings during at least 5 of the last 10 years.
We also use a general health question from these topical modules ("Would you say the person's health in general is excellent, very good, good, fair or poor?") to construct a binary variable equals to one if the respondent's health is fair or poor.
We used the following features: (2) 1 ) ∑ i ∈ h-region h (i ), 2 ) ∑ i ∈ n-region p (i ), 3 ) ∑ i ∈ n-region n (i ), 4 ) ∑ i ∈ n-region n (i ) and 5) ∑ i ∈ c-region o (i ) where p(i), n(i) and o(i) are 0-1 binary variables equal to 1 when the ith residue is positively {K, R, H} or negatively {D, E} charged, or one of {A, G, S}, respectively.
The input vector γ(t+1) in (13) reflects the current network-wide perceivability, i.e., its elements represent the local probabilities of getting target-originated measurements (in the case of no clutter, γ i (t) is a binary random variable, equal to one when the target is observed, and to zero otherwise [2]).
The dependent binary variable equals 1 if the individual initially inactive experiences a transition to an active labor status.
