How can you address a high standard error for a coefficient in a regression model?

Strategies to reduce standard errors include: increasing the sample size (if feasible), addressing multicollinearity (e.g., through variable selection, combining variables, or using regularization techniques), improving the measurement of variables, and carefully considering the inclusion of predictor variables based on theory and prior research.