Replication Data for: Macroeconomic Shocks and Long-Term Wealth Accumulation in Developing Economies

Description

Contains balanced panel data (N = 780, 30 developing economies, 2000–2025), STATA/R code structures, and technical documentation for replication.

Steps to reproduce

Step 1: Data Acquisition & Preprocessing Collect raw annual panel data covering 30 developing economies from 2000 to 2025 (N=780) from the World Bank World Development Indicators (WDI), IMF International Financial Statistics (IFS), International Telecommunication Union (ITU), and international conflict repositories. Construct balanced panel series ensuring alignment of dependent variables (Adjusted Net Savings), core shock metrics (conflict intensity, inflation, political instability), and resilience buffers (digital transformation, female labor force participation). Step 2: Descriptive & Exploratory Data Analysis Generate summary statistics (mean, standard deviation, minimum, maximum) and correlation matrices to verify preliminary structural links and check for multicollinearity among regressors. Compile documentation and export datasets into universal formats (.xlsx and .csv) to maintain full transparency for peer review. Step 3: Baseline & Dynamic Econometric Estimation Execute Two-Way Fixed Effects (TWFE) regression models to control for unobserved cross-sectional heterogeneity and common time shocks across developing economies. Implement System Generalized Method of Moments (System GMM) estimators to address potential endogeneity, dynamic persistence, and reverse causality in the wealth accumulation process. Step 4: Long-Run Cointegration & Spatial Analysis Apply Fully Modified OLS (FM-OLS) and Dynamic OLS (DOLS) estimators to confirm cointegrating relationships and long-run elasticity coefficients. Formulate an inverse-distance spatial weight matrix (W) and estimate a Spatial Durbin Model (SDM) to capture cross-border spatial spillover effects of conflict and digital resilience buffers.

Institutions

• Jinan University

  Guangdong, Guangzhou

Categories

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