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Exact(27)
Equation (1) also includes z i, the vector of control variables.
Then, X is the vector of control variables and β is the corresponding vector of coefficients.
Control i denotes a vector of control variables, and γ are their coefficients.
X it is a vector of control variables that affect performance (e.g., firm size, firm profitability, divestiture mode, etc.…) and Y it is a vector of control variables that affect the divestiture decision (e.g., management turnover, weak prior performance, etc.…).
The goal of this study is to find the best vector of control variables, so that the power loss decreasing can be realized.
The propensity function is modeled as a function of a vector of control variables, X if, including whether the individual is the oldest sibling and their sex.
Similar(33)
where Y is a vector of controls, Q is a vector of instruments, and ε2 is a stochastic error term.
The vector of controls, v igmt , includes city, region-year, and age group fixed effects as well as other demographic variables.
where Y is a vector of controls, Q is a vector of instruments, ζ1j,ζ2j,ζ3j are random intercepts that control for unobservable mother – specific characteristics, ϵ1i j,ϵ2i j,ϵ3i j are infant – specific stochastic error terms.
The vector of controls include a series of 5-year age dummies, a dummy for if the individual is white, a dummy for if the individual is married, and the number of children an individual has.
where P e r i o d is a dummy for the last two years where we observe each child (Period 2), Treat is a treatment dummy and X is a vector of controls as discussed above.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com