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The choice of a QAS can be measured by a binary variable (private or public standard).
Public holidays and notable celebratory events (such as Burns Night and St Andrews Day) were also represented by a binary variable.
The trend is being measured by a binary variable which takes the value of 0 (if reduction), 1 (stabilization), or 2 if increase versus the previous year.
The innovation output (inserv) is also measured by a binary variable taking the value 1 if the firm has innovated during the last 3 years and the value 0 otherwise.
Following Cusmano et al. (2009), we define outsourcing (exter) by a binary variable showing whether a firm has delegated a given task to a specialist outside the firm between 2005 and 2007.
Each drug was represented by a binary variable encoding its presence/absence in a TCE.
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We model this dependence structure by applying a binary variable (0 = reject the null hypothesis; 1 = accept the null hypothesis).
Hence, we first estimated a SPF with pooled data by including a binary variable, Off_farm, as a regressor, which indicates whether the household participates or not in off-farm activities, and two separate SPF models, one for households participating in off-farm activities and the other for non- participants.
To evaluate the total impact of these adaptation options on household food security calorie intake, we created a new data set by driving a binary variable equal to 1 if households adopted either of the adaptation options and 0 if households did not adopt any of the adaptation options.
To solve the problem, by defining a binary variable x t, the problem (4) can be restated as: begin{aligned} FT^{RT} & = left[ {left( {lambda_{t}^{RT} (omega )Delta P_{t} (omega )(1 - x_{t} (omega ))} right)} right. & quad left. { + left( {lambda_{t}^{RT} (omega )Delta P_{t} (omega )x_{t} (omega )} right)} right] end{aligned} (5) begin{aligned} & {text{s}}.
Sex was generated by simulating a binary variable whose probability depended on the other 4 variables.
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