Debt sustainability measures a nation’s ability to manage debt while maintaining economic stability and supporting growth. It ensures borrowing remains a tool for progress rather
Debt is a critical economic tool enabling governments, businesses, and individuals to finance development, innovation, and stability. This guide explores the types, mechanics, and risks
Explore the fundamentals of government borrowing, including the mechanisms, benefits, and risks of public debt. Understand how borrowing supports development, manages crises, and shapes economic
Machine Learning in Econometrics enhances data analysis by addressing high-dimensional data, modeling nonlinear relationships, and improving predictions, while maintaining causal inference and theoretical rigor.
Quantile regression goes beyond mean-based analysis to uncover how relationships between variables vary across a distribution. Ideal for addressing heterogeneity, outliers, and skewed data, it
Structural breaks, caused by events like policy shifts or economic crises, disrupt time series analysis by altering relationships between variables. Addressing these breaks with methods
Bootstrap methods in econometrics provide robust, assumption-free statistical inference through resampling techniques. These methods excel in bias correction, confidence interval construction, and hypothesis testing, especially
Nonparametric and semiparametric methods provide flexible tools for analyzing complex economic data, capturing nonlinear patterns in income distribution, consumer behavior, and market trends.
Simultaneous Equations Models (SEMs) analyze interdependent relationships, capturing dynamics like supply-demand and macroeconomic feedback. Techniques like 2SLS and 3SLS ensure accurate estimates, supporting policy evaluation
Structural Equation Models (SEM) combine latent and observed variables to study complex relationships and causal pathways. By integrating regression, factor, and path analysis, SEM offers
