Primary Outcomes (explanation)
We will define interest in reskilling by using respondents' answers to the different discrete-choice scenarios they see.
First, we will compute two main variables of interest in reskilling: (i) the share of scenarios in which a respondent picked a training course in a shortage occupation as first choice, and (ii) whether they ever picked a training course in a shortage occupation as first choice in any of the given scenarios. As the choice scenarios are split into two sets - one of 5 choice scenarios (which vary the occupation targeted by the training) and one of 3 choice scenarios (which keep the targeted occupation) - we will define these reskilling variables by pooling together all the choices, as well as separately for the two sets of scenarios.
Second, we will also consider an alternative outcome encompassing “interest in trainings” more broadly. This measure will be defined as: (i) the share of scenarios in which a respondent picked any training course, and (ii) the respondent having ever picked any training course as first choice in any of the given scenarios. However, Given the hypothetical nature of our experiment, we expect fewer people to pick the no training option compared to reality, and thus training interest to be biased upward. We will therefore pay particular attention to estimates pertaining to interest in reskilling, and consider interest in training as rather exploratory.
Third, in our discrete choice model pertaining to training characteristics (for the set of 5 scenarios), we will quantify the increase in marginal utility and the willingness to pay for reskilling by considering as the "reskilling" option the training course which targets a respondent's (less preferred) shortage occupation.
Finally, in our discrete choice model pertaining to job-related characteristics (for the set of 3 scenarios), we will fix the occupation to the second-preferred, and estimate the willingness-to-pay for a set of job-related characteristics. The estimates will be benchmarked against our WTP measures for reskilling found in the previous paragraph.