📊 dsh-econ-tools — Econometrics Research Assistant

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A DeepSeek Harness plugin providing 6 ready-to-use econometrics tools covering the full research workflow: method selection, data preparation, model specification, empirical analysis, robustness checks, and result reporting.

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Feature Overview

Tool	Function	Use Case
🎯 econ_method_guide	Method Guide — Recommend appropriate econometric models based on research question and data type	Research design stage, unsure which model to use
🧹 econ_data_prep	Data Preparation — Missing value handling, outlier detection, variable transformation, categorical encoding, with Python code snippets	Cleaning raw data before analysis
⚙️ econ_model_spec	Model Specification & Variable Selection — Theory-driven, data-driven, hybrid, and ML-based (LASSO/Ridge/ElasticNet) strategies, with diagnostic checklists	Selecting core variables and controls
🔬 econ_run_analysis	Empirical Analysis — Supports OLS, IV/2SLS, Logit, Probit, panel FE, DID, RDD; auto-generates Python/R/Stata code templates with interpretation guidance	Running regressions, interpreting results
🛡️ econ_robustness	Robustness Checks — Omitted variables, measurement error, sample selection, model specification, outliers, parallel trends, placebo tests — 7 dimensions	Verifying whether core findings are reliable
📝 econ_report	Result Reporting — Generate descriptive statistics tables, baseline regression tables, and robustness check summaries in Markdown / LaTeX / HTML, bilingual (CN/EN)	Writing papers, formatting result tables

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Quick Start

Installation

Option 1: From GitHub (Recommended)

Install directly via the dsh CLI:

dsh plugin --profile web add github:Chaos-Hyper/dsh-econ-tools

Option 2: Local File Installation

If you already have the source directory, install by path:

dsh plugin --profile web add /path/to/dsh-econ-tools

Or manually add it to the web profile dependencies (edit ~/.dsh/profiles/web/package.json):

"dependencies": {
    "dsh-econ-tools": "link:/path/to/dsh-econ-tools"
}

Then add "dsh-econ-tools" to the dsh.profile.bundles array, and run:

cd ~/.dsh/profiles/web
pnpm install

Restart DSH for the changes to take effect.

Usage

The Agent will automatically call the appropriate tool based on your research needs. For example:

"I want to study the impact of education on income using cross-sectional data. What model should I use?" → Agent calls econ_method_guide, recommending OLS, IV methods, etc.

"Run robustness checks for potential omitted variable bias." → Agent calls econ_robustness, providing Oster stability test and other solutions.

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Tool Details

1. econ_method_guide

Parameters:

• research_goal: Research goal (causal inference / prediction / policy evaluation)
• dependent_type: Dependent variable type (continuous / binary / panel)
• data_structure: Data structure (cross-section / time series / panel)
• endogeneity_concern: Whether endogeneity is a concern (optional)

Sample output:

{
  "recommended_models": ["OLS", "DID"],
  "methodology_notes": ["Run model diagnostics", "Use robust standard errors"],
  "next_tools": ["econ_data_prep", "econ_model_spec", "econ_run_analysis"]
}

2. econ_data_prep

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