I am preparing a publish-ready research paper that answers a provocative question: “Will private jets and yachts ever become as common in India as cars are today?” To make the argument credible, I need a researcher who can combine rigorous economic modelling with clear, journal-style writing. Scope of work You will examine key trends—income distribution, luxury market growth, transportation infrastructure, GDP per capita shifts and the Gini coefficient—then translate those numbers into a probability forecast. Source material must draw on the Hurun India Rich List, The India Wealth Report, leading industry reports, SIAM vehicle data, and macro-indicators from World Bank and IMF databases. Feel free to enrich the study with additional peer-reviewed or proprietary data as long as every figure can be traced back to a verifiable source. What I expect as deliverables • A 6,000–8,000-word paper in Google Docs (APA or Harvard style), fully referenced and ready for journal or high-authority web publication. • An Excel or CSV annex containing the cleaned datasets, plus the code (R, Python, Stata or similar) used for probability modelling so results are reproducible. • Executive summary (≈500 words) highlighting methodology, headline probabilities and policy or market implications. Acceptance criteria 1. All cited statistics match their original sources (Hurun, IMF, etc.) when spot-checked. 2. The probability model explicitly states assumptions, variables and sensitivity tests. 3. Writing is publishable without major grammatical edits and passes plagiarism checks (>95 % original). I will be available for quick clarifications on scope or data access and can turn around feedback within 24 hours. If you are confident working with wealth distribution data, luxury consumption metrics and infrastructure forecasts, I look forward to reading your proposal and timeline.