Our analysis starts out with a simple cross-tabulation of the TLF and working hour variables (Table 5).
Not surprisingly, this finding is supported by simple correlations between the TLF and working hour variables (Table 6).
The actual (only available from 2004 onwards) and contracted hour variables were obtained from the following survey questions: "How many hours per week do you actually work on average?" and "How many hours do you work according to your contract?
We also winsorised the working hour variables to the 1st and 99th percentile, limiting the range to 3 to 60 h per week, to rule out that outliers may be driving our results.
This consists of a startup cost, (c_i^S), which is incurred whenever generator i is switched on from an offline state, a no-load cost, (c_i^N), which is incurred each hour that generator i is online (regardless of its generation level), and a variable cost, (c_i^V cdot )), which gives the per-hour variable cost as a function of energy produced.
Contracted hours were used as the basis for the preferred hours variable, to which X hours were added or subtracted depending on whether respondents indicated that they wanted to work more or fewer hours.
The preferred hours variable was derived from the following question: "Are you satisfied with the current number of contract hours or would you like to work more or fewer hours?
In addition to these measures, a number of new variables were derived from administrative data: an enrollment hours variable was created consisting of 5 categories: 1 30 h, 31 60 h, 61 120 h, 121 400 h, and 400+ h; a three category qualification level variable indicating certificate I/II, certificate III/IV, and Diploma or higher, and a variable containing the age of individual respondents.
We regress the three working hours variables as well as the two indicators for TLF, flexi-time, and telehomework, on the same set of control variables (see Section 3) and calculate correlations between the residuals from these regressions.
