Core Concepts
This research examines the temporal dynamics associated with attaining a 5% rise in purchasing power parity-adjusted GDP per capita across 33 American countries over a 120-month period, leveraging survival analysis and machine learning techniques to uncover the complex interplay of vulnerabilities, risks, and capabilities influencing economic convergence.
Abstract
This comprehensive study investigates the temporal dynamics of economic development across 33 countries in the Americas, focusing on the time required for each country to achieve a 5% increase in GDP per capita at purchasing power parity (PIBpcPPP) within a 120-month period.
The key highlights and insights are:
Survival Analysis Approach: The research adopts a nuanced survival analysis approach, incorporating both right-censored data (9 countries) and countries that reached the 5% GDP per capita target within the 120-month timeframe (24 countries). This allows for a thorough examination of the complex temporal dynamics involved in economic convergence.
Multidimensional Vulnerability Assessment: The study incorporates a comprehensive set of variables, including natural, commercial, financial, and endogenous risks, as well as inherent vulnerabilities, vulnerabilities in companies and households, and state and social cohesion capabilities. This multidimensional assessment provides valuable insights into the factors influencing the time required to reach the GDP per capita target.
Model Comparison: The research evaluates the performance of various machine learning survival models, including Cox, Kernel SVM, DeepSurv, Survival Random Forest, and MTLR, using the concordance index (C-index) as the key metric. The findings highlight the superior performance of the DeepSurv model in capturing non-linear interactions and effectively managing datasets with bidirectional censoring.
Economic Implications: The weight matrix analysis offers nuanced insights into the economic implications of risks, vulnerabilities, and capabilities. It suggests that a balanced approach to risk-taking, strategic vulnerability reduction, and investment in governmental and social capacities are crucial for countries to meet their GDP per capita objectives.
Policy Recommendations: The research emphasizes the need for individualized policy approaches that consider the complex dynamics at play, addressing vulnerabilities, leveraging strengths, and adapting strategies to the specific economic and social landscape of each country.
Overall, this study contributes to the literature on survival analysis in finance and economics, providing valuable insights into the temporal aspects of economic development and informing policymakers in their efforts to expedite and sustain economic growth across the Americas.
Stats
Vul_Inherent: 0.07718029 to 0.01124327
Vul_Companies: 0.0124 to 0.1109
Vul_Homes: -0.0676 to -0.0191
Social_Cohesion_Capabilities: -0.009647651
Quotes
"The weight matrix provides valuable insights, but strategic decision-making requires a nuanced understanding of the interplay between risks, vulnerabilities, capabilities, and the broader economic context."
"Countries aspiring to reach the GDP per capita target should approach their policies with a careful balance, addressing vulnerabilities, leveraging strengths, and adapting strategies to their specific economic and social landscape."