Research Package | Some Perspective: India's Political Economy 2004-2026

Research Package Overview

This comprehensive research package contains all materials from the study "Narratives, Numbers, and Democratic Accountability: A Political Economy Assessment of India, 2004–2026". 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) Dataset (Excel) Dataset (CSV) Code Repository

Research Documents

Main Paper

Full Research Paper

Full working paper: the measurement problem, construction of the three indices, results across 2004–2026, external validation against an independent synthetic-control study, and a full statement of limitations. Every figure is verified against the open dataset.

~15k words 43 pages 9 tables CC BY 4.0

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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 (2004–2026).

Excel format 1,200+ data points

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Code

Replication Code

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

R/Python Documented

View on GitHub Download Python

Indices

SSI, FCI, DQI Data

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

3 indices Annual data

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# 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

Open the walkthrough

Academic

Conference Presentation

Extended academic presentation with detailed methodology and robustness checks.

25 slides ⏱️ 30 min

Open the walkthrough

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. (2026). Some Perspective: India’s Political Economy, 2004–2026. Retrieved from https://someperspective.info

BibTeX

@techreport{someperspective2026,
  title={Some Perspective: India's Political Economy, 2004--2026},
  author={Raman, Varna Sri},
  year={2026},
  institution={Independent Research},
  url={https://someperspective.info}
}

Data Citation

Raman, V. S. (2026). Some Perspective: India Political Economy Dataset, 2004–2026 [Data set]. Retrieved from https://someperspective.info/data.json

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