(3) All equations also control for age, age square, marital status, disability, visible minority status, primary earner status, spoken language (only English, only French, bilingual, others), regional fixed effects for 10 provinces, location of study fixed effects at 10 categories, field of study fixed effects at 1375 categories, and occupation fixed effects at 520 categories.
All specifications include controls for age, age square, marital status, disability, visible minority status, primary earner status, spoken language, regional fixed effects for 10 provinces, location of study fixed effects, and industry fixed effects for 21 categories.
(3) All equations also control for marital status, disability, visible minority status, primary earner status, spoken language (only English, only French, bilingual, others), regional fixed effects for 10 provinces, field of study fixed effects at 1375 categories, and occupation fixed effects at 520 categories.
Halpern algorithm is efficient to study fixed points of nonexpansive mappings.
The Mann iterative algorithm is efficient to study fixed point problems of nonlinear operators.
We apply the KKM technique to study fixed point theory, minimax inequality and coincidence theorem.
The purpose of this paper is to study fixed point theorems of α-nonexpansive mappings of CAT ( 0 ) spaces.
In this paper we continue to study fixed point results in topological vector space valued cone metric spaces.
Mann iteration, introduced by Mann [15], is an efficient tool to study fixed point problems of asymptotical nonexpansive mappings.
