Analyzing Economic Convergence Across the Americas: A Survival Analysis
  Approach to GDP per Capita Trajectories
Diego Vallarino
By integrating survival analysis, machine learning algorithms, and economic
interpretation, this research examines the temporal dynamics associated with
attaining a 5 percent rise in purchasing power parity-adjusted GDP per capita
over a period of 120 months (2013-2022). A comparative investigation reveals
that DeepSurv is proficient at capturing non-linear interactions, although
standard models exhibit comparable performance under certain circumstances. The
weight matrix evaluates the economic ramifications of vulnerabilities, risks,
and capacities. In order to meet the GDPpc objective, the findings emphasize
the need of a balanced approach to risk-taking, strategic vulnerability
reduction, and investment in governmental capacities and social cohesiveness.
Policy guidelines promote individualized approaches that take into account the
complex dynamics at play while making decisions.