How to apply dynamic panel bootstrap-corrected fixed-effects (xtbcfe) and heterogeneous dynamics (panelhetero)

Area of Science:

• Econometrics
• Environmental Science
• Health Economics

Background:

• Panel data analysis faces challenges like missing values, cross-sectional dependence, and omitted variable bias, often leading to model misspecification.
• Existing methods may not adequately address the complexities of panel data, affecting the consistency and robustness of empirical findings.
• Sophisticated estimation techniques are needed to overcome these limitations and ensure reliable results.

Purpose of the Study:

• To introduce and demonstrate the application of novel panel data estimation techniques: the panel bootstrap-corrected fixed-effects estimator (xtbcfe) and heterogeneous dynamics (panelhetero).
• To provide a step-by-step guide for applying xtbcfe and panelhetero, addressing their complexity.
• To investigate heterogeneous effects using empirical CDF, moments, and kernel density estimation.

Main Methods:

• Development and application of the panel bootstrap-corrected fixed-effects estimator (xtbcfe).
• Implementation of the heterogeneous dynamics estimator (panelhetero).
• Utilizing empirical CDF, moments, and kernel density estimation for investigating heterogeneous effects.

Main Results:

• The xtbcfe and panelhetero algorithms offer robust and consistent panel estimation, accommodating user modifications.
• Procedures for data imputation and transforming negative variables for various data types are presented.
• The study successfully applies xtbcfe and panelhetero to estimate the global impact of air pollution on mortality, disability-adjusted life years, and welfare costs.

Conclusions:

• The novel xtbcfe and panelhetero algorithms provide advanced tools for panel data analysis across social, environmental, and economic sciences.
• These methods effectively address omitted-variable bias, convergence issues, cross-section dependence, and heterogeneous effects.
• The application to air pollution and health outcomes demonstrates the practical utility of these advanced econometric techniques.