Gender wage gap and education: a stochastic frontier approach

As illustrated in Table 2, financial inclusion indicators vary to a great extent across the coun- tries in the sample, while women are less likely to have an account with

(1) specification of the econometric model of the stochastic frontier, (2) selection of the inputs and outputs to use in the analysis, and (3) a determination about how

Table 2 Some differences between currents critical of neoliberal education and the radical and inclusive approach CriteriaCritical educationRadical and inclusive

These are Australia, Austria, Belgium, Denmark, Finland, Germany, Greece, Latvia, Liechtenstein, Luxembourg, New Zealand, Norway, Portugal, Switzerland and Scotland in

The evidence that in our case of the Kuramoto model [Equation (5)] the GD-RBM method allows for a more efficient control computation, in particular for large oscillator networks,

This better credit performance of companies run by women, coincident with their lower probability of obtaining a credit (10% in the first year, 8% one year later, and no difference

By levels of educational attainment, differences in returns also account for most of the gender wage gap in the sub-sample of individuals who achieve a level up to secondary

Model 1 includes the common set of variables plus those related to individual characteristics and will correspond to a standard specification of a wage equation in the analysis