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Often described as a model for chief executives, John F. Welch Jr. appears to have also created the model employment contract.
In Chapter 5, Rolf Färe, Shawna Grosskopf, Carl Pasurka, and Ronald Shadbegian model employment impacts under different regulatory approaches, comparing more rigid, traditional regulation with more flexible, market-based instruments.
Six criteria were used with this model: employment density, population density, feeder bus service, location on the alignment, location at a street intersection, and a minimum of ½ mile distance from the next station.
To model employment taxes that fund unemployment or retirement benefits, the earnings denoted w2 in the model could be reinterpreted as the income-term flow welfare of leisure or informal work (there should then be constant rather than decreasing returns, or perhaps rents could accrue directly to individuals).
In Keynes's model, employment and output are driven by aggregate demand, the sum of consumption and investment.
In the fully adjusted model, employment status, urban/rural dwelling, household income (and, for men only, education) remained significant determinants of supplementary insurance.
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In the present paper, we seek to evaluate the robustness of the results presented in ABC allowing for more flexible time trends, updating the sample period, and modeling employment changes as well as employment levels.
And last but not least, modelling employment protection itself is quite a complicated issue and it probably deserves a more sophisticated modelling than simply implementing firing costs, the approach we followed in the model at hand.
Modeling employment transitions around the first birth was complex due to the data limitations we encountered; namely, the lack of information on women's employment status within the first year after the first birth in Italy.
Therefore, we only included the following three demographic variables in our logistic regression models: employment status (employed vs. unemployed), ethnicity (urban origin vs. Bedouin origin), and age as continuous variable.
A predictive model of employment identified 4 factors associated with employment: education, community mobility, functional independence, and decreased medical complications.
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