Enhance Analysis in Chapter 4
Budget: $10 – $30 USD
need to make these changes in Chapter 4.
1. Clearly distinguish and report results model-wise (OLS, Fixed Effects, Random Effects, Quantile Regression). Avoid mixing interpretations and explicitly state where a variable is significant or insignificant in each model.
2. Improve hypothesis testing by linking p-value, sign, and theory together. A statistically significant result with an opposite sign should be reported as “significant but hypothesis not supported,” not ignored or generalized.
3. Strengthen interpretation of regression results by explaining economic meaning of coefficients (why positive/negative, especially unexpected results like negative green innovation) and support them with theory and literature.
4. Provide stronger justification in methodology for sampling choice, variable selection, and use of panel quantile regression, including why this method is more appropriate than standard regression for this study
1. Clearly distinguish and report results model-wise (OLS, Fixed Effects, Random Effects, Quantile Regression). Avoid mixing interpretations and explicitly state where a variable is significant or insignificant in each model.
2. Improve hypothesis testing by linking p-value, sign, and theory together. A statistically significant result with an opposite sign should be reported as “significant but hypothesis not supported,” not ignored or generalized.
3. Strengthen interpretation of regression results by explaining economic meaning of coefficients (why positive/negative, especially unexpected results like negative green innovation) and support them with theory and literature.
4. Provide stronger justification in methodology for sampling choice, variable selection, and use of panel quantile regression, including why this method is more appropriate than standard regression for this study