I can help you conduct econometric analysis using R and write report

Why Hire Me?

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With 7+ years of experience in applied data analytics, I specialize in econometric modeling using R. From lm() and plm to forecast and tseries, I use the right combination of packages to execute regression, panel, and time-series models. I deliver plagiarism-free reports in APA, Harvard, or IEEE format with detailed interpretations and actionable insights.

Key Strengths:

• Econometric expertise tailored to both academic research and business questions

• Deep experience with R libraries like lmtest, plm, forecast, ggplot2, and tseries

• End-to-end project coverage: data cleaning, modeling, diagnostics, reporting

• Clear output with robust checks for heteroskedasticity, autocorrelation, and multicollinearity

• Fully formatted reports with R Markdown integration for reproducibility

What I Need to Start Your Work

To deliver precise and useful econometric analysis using R, I will require the following:

• Project Overview

  • Objectives and questions your econometric analysis is expected to address

  • Intended purpose (e.g., thesis, policy recommendation, investment insight)

• Dataset & Description

  • File in .csv, .xlsx, or .RData format

  • Summary of variables, data source, and preprocessing details (if any)

• Model Preferences

  • Type of models to apply (e.g., OLS, fixed/random effects, ARIMA, GARCH)

  • Any specific packages or functions to use (e.g., plm, urca, dynlm)

• Report Requirements

  • Word count, report structure, formatting style (APA/Harvard/IEEE)

  • Charts, tables, and narrative expectations for final output

• Timelines & Communication

  • Delivery deadline and key milestones

  • Preferred mode and frequency of communication for updates