Our models will take the following form to model each measure in month i: o u t c o m e i = β 0 + β 1 · t i m e 1 + β 2 · p o l i c y i + β 3 · p o l i c y i · t i m e i + ε i Where time represents the month in study time (i.e. 1, 2, 3...) and policy is an indicator variable indicating if the policy is in effect at that observation point.
Association between each haplotype and the five milk production traits was performed based on the model y ij = μ + s i + bh ij + e ij, where s i is the fixed effect of sire i, b is the regression coefficient, hij is an indicator variable with a value 0, 1 or 2 to indicate the copy number of the haplotype carried by the individual.
Classified Boards is an indicator variable for board classification.
CAP is an indicator variable that equals one if the company is capitalizing R&D costs.
Qualitative matching is incorporated into the model with indicator variables, i.e., some is an indicator variable for respondents in a "somewhat related" job, while close is an indicator variable for respondents in a "closely related" job.
I ϕ is an indicator variable which takes the value one if the predicate ϕ is true and zero otherwise.
ROE is an indicator variable that equals one when ROE is used as a performance measure, and zero otherwise.
In model (1), DEBTFINANCING is an indicator variable that equals one when firms choose debt financing and zero when net equity is issued.
ROE is an indicator variable that equals one when ROE is explicitly mentioned as a performance measure in performance-vested option plans, and zero otherwise.
Info ighrt is an indicator variable of being medically informed (female physicians and female relatives of physicians, or high socioeconomic status women).
The dependent variable is an indicator variable capturing the likelihood of a male birth; hence a Logit or Probit model of discrete choice is appropriate.
