No abstract

In the last 40 years, the country has turned to developing the primary and tertiary sectors with a tax policy heavily taxing goods outside the basic basket and generalizing others. On the other hand, Government implemented support programs for vulnerable sectors. The imbalance between what the government receives and grants created greater poverty, affecting mainly households in the first three income deciles. This work shows this imbalance in different scenarios using an optimization model.

Medical costs are calculated for renal failure for all age groups of Mexican people and sex in range of 2012-2050. Probabilities of entrance or disease detection, permanence or in treatment and departure or death are calculated for each age group and sex. The maximum probabilities for each case are 5.36% (60-64), 6.25% (0-4) and 0.48% (85+) for male. Analogously, for female are 5.56% (60-64), 5.24% (0-4) and 0.32% (85+), respectively. The treatment medical costs are not similarly between men and women. The maximum number of people in treatment is between (0-4) and (20-24, male. 25-29, female) years old. The number of patients varies between 5 and 19 years of age, from 30 years of age decreases the number of patients up to age 69 years. After that it increase again.