In Nova Scotia, Manitoba, Saskatchewan, and Alberta, the increases in tuition fees were situated somewhere in between the two extremes of Ontario on the one end of the spectrum, and Quebec and British Columbia on the other. [...] However, quantity may have increased since supply and/or demand in the market for professional programs may have increased over the period (e.g., pressure may have mounted to increase the 3. This period corresponds to the data available in this study (described in the methods and data sections) and lies within the vertical lines. [...] The linear probability model was chosen in the end since the coefficients are interpreted as marginal probability effects, which in this case are invariant to the vector of explanatory variables (unlike the case in non-linear models). [...] The identification of the relationship between tuition fee increases in professional programs and socio-economic background is drawn from the substantial level of provincial variation in tuition increases observed in the late 1990s, as shown in Charts A1 to A7 in the appendix. [...] The sample means of the variables used in the analysis to follow are shown in Table 1. All samples to follow exclude cases with missing information on any of the variables appearing in this table, which accounted for less than 3% of the original samples.