The article explores different models and strategies for conducting Granger causality tests to determine causal relationships between variables in economics research. By analyzing three models and four test strategies, the researchers aim to find robust procedures for accurately identifying causality. Key findings include the importance of selecting the right variables, lag order, and cointegration space dimensions for a more reliable Granger causality test.