dsh-econ-tools

Econometric research often faces the tedious challenge of the entire workflow, from model selection to result reporting. dsh-econ-tools aims to solve this pain point by integrating six core tools to transform the complex research process into standardized auxiliary steps. Whether you are just starting to conceive a research question or need to handle complex data cleaning, this plugin provides one-stop support from method recommendation to empirical analysis.

In terms of core capabilities, the plugin covers the full lifecycle of research: it can not only intelligently recommend appropriate econometric models based on research goals but also includes powerful data preprocessing functions to handle missing values and outliers. By supporting models such as OLS, 2SLS, and panel data, and automatically generating code templates for Python, R, and Stata, it greatly reduces the barrier to empirical analysis. Additionally, it can automatically generate robustness check schemes and bilingual result reports, ensuring the reliability of research conclusions.

This plugin is perfect for economists, academic students, and professionals who need to quickly conduct quantitative analysis. It not only assists beginners in clarifying research ideas but also provides rigorous robustness check suggestions for experienced scholars. By automating tedious coding and formatting tasks, it allows researchers to focus more on core hypotheses and theoretical derivation, significantly improving research efficiency.