Research Package: India's Political Economy Assessment 2014-2025

Research Package Overview

This comprehensive research package contains all materials from the study "Narratives, Numbers, and Democratic Accountability: A Political Economy Assessment of India, 2014-2025". All resources are open access and designed for researchers, policy makers, journalists, and citizens.

Full Research Paper

Novel Indices

Years of Data

States Analyzed

100+

Data Sources

15+

Resources

Quick Download Options

Download the complete research package or select individual components

📦 Complete Package (ZIP) 📄 Research Paper (PDF) 📊 Dataset (Excel) 💻 Code Repository

Research Documents

Main Paper

Full Research Paper

Complete academic paper with methodology, findings, and comprehensive analysis of India's political economy (2014-2025).

📄 95 pages 📊 45 figures 📑 12 tables

Summary

Executive Summary

8-page concise overview of key findings, indices, and policy implications for quick reference.

📄 8 pages ⏱️ 10 min read

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Technical

Methodology Paper

Detailed technical documentation of index construction, data sources, and analytical methods.

📄 25 pages 🔬 Technical detail

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Appendix

Technical Appendix

Supplementary materials including robustness checks, alternative specifications, and detailed calculations.

📄 40 pages 📈 Additional analysis

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Data & Code

Dataset

Master Dataset

Complete dataset with all economic indicators, indices, and state-level data (2014-2025).

📊 Excel format 📈 1,200+ data points

Code

Replication Code

Complete R and Python code for replicating all analyses, figures, and index calculations.

💻 R/Python 📝 Documented

View on GitHub

Indices

SSI, FCI, DQI Data

Detailed calculations and components for the three novel indices introduced in the paper.

📊 3 indices 📅 Annual data

# Sample Code: Calculate Statistical Suppression Index (SSI)
import pandas as pd
import numpy as np

def calculate_ssi(data):
    """Calculate Statistical Suppression Index from components"""
    components = ['surveys_withheld', 'delays', 'revisions', 'resignations']
    z_scores = (data[components] - data[components].mean()) / data[components].std()
    ssi = z_scores.mean(axis=1)
    return (ssi - ssi.min()) / (ssi.max() - ssi.min()) * 10

# Load data and calculate
data = pd.read_csv('india_stats.csv')
data['SSI'] = calculate_ssi(data)
print(f"SSI increased from {data['SSI'].iloc[0]:.1f} to {data['SSI'].iloc[-1]:.1f}")
            

Presentations

Interactive

Research Presentation

12-slide interactive presentation covering key findings, paradoxes, and policy implications.

🎯 12 slides ⏱️ 15 min

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Academic

Conference Presentation

Extended academic presentation with detailed methodology and robustness checks.

🎯 25 slides ⏱️ 30 min

Workshop

Data Workshop

Interactive workshop materials for hands-on data analysis and index calculation.

💻 Jupyter notebooks 📊 Sample data

Access Materials

Guides & Policy Briefs

Policy

Policy Brief

Actionable policy recommendations for restoring growth with accountability.

🎯 15 reforms 📅 Implementation timeline

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Public

Citizen Guide

Accessible explanation with examples and visualizations for general public understanding.

👥 Public audience 📊 Simple examples

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Media

Media Kit

Press-ready materials with key findings, infographics, and quotable insights.

📰 Press ready 📊 Infographics

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How to Cite

Academic Citation (APA)

Raman, V. S. (2025). Narratives, Numbers, and Democratic Accountability: A Political Economy Assessment of India, 2014-2025. Retrieved from https://someperspective.info

BibTeX

@article{raman2025india,
  title={Narratives, Numbers, and Democratic Accountability: A Political Economy Assessment of India, 2014-2025},
  author={Raman, Varna Sri},
  year={2025},
  month={September},
  url={https://someperspective.info}
}

Data Citation

Raman, V. S. (2025). India Political Economy Dataset 2014-2025 [Data set]. Retrieved from https://someperspective.info/data

License

All materials are released under the MIT License. You are free to use, copy, modify, and distribute with attribution. For commercial use or reproduction in academic journals, please contact the author.

Contact: research@someperspective.info