I can help you conduct econometric analysis and write report
- 4.8
- (5)
Project Details
Why Hire Me?
I bring over 7 years of applied experience in econometric analysis across academic and industry settings. I use software like Stata, R, or EViews to conduct robust modeling—whether it's linear regression, probit/logit, panel data, or time-series. My reports follow APA, Harvard, or IEEE formats and explain statistical results with clarity, ensuring the output is suitable for academic submission, policy review, or business strategy.
Key Strengths:
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Sound understanding of theory-driven and data-driven modeling
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Familiarity with diagnostic checks, robustness tests, and interpretation for non-specialists
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Experience working with diverse datasets from economics, business, health, and social sciences
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Commitment to data privacy and timely delivery
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Plagiarism-free, formatted reporting suitable for thesis, journal, or policy documents
What I Need to Start Your Work
To begin your econometric analysis project, I will require:
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Project Overview
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Clear statement of research question or business problem
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Objectives for the analysis (e.g., testing hypotheses, forecasting, causal inference)
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Dataset & Description
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File in
.csv
,.dta
,.xlsx
, or.sav
format -
Variable definitions and any prior processing steps (cleaning, coding, etc.)
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Expected Econometric Techniques
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Models you expect to use (e.g., OLS, Fixed Effects, Logit/Probit, ARIMA)
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Any control variables or interaction terms to be included
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Report Guidelines
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Preferred referencing format (APA, Harvard, etc.)
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Required structure, word count, or university/business-specific formatting
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Timeline and Communication
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Final deadline and update frequency
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Preferred method of communication (e.g., email, Zoom)
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Other Requirements
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Specific plots or tables you need (e.g., regression tables, residual plots)
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Whether you need raw code, syntax, or an appendix of commands used
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Portfolio

Impact of Education Level and Income on Household Savings: An Econometric Approach Using Linear Regression
This project investigates the relationship between income, education level, and household savings behavior using linear regression in Stata. It provides clear insights into how demographic and financial factors jointly influence savings, helping policymakers and banks identify target segments for savings schemes.

Evaluating the Relationship Between Online Learning Hours and Exam Performance: A Multiple Linear Regression Study
The primary goal of this project was to assess whether students' academic performance (final exam scores) could be predicted using their weekly online learning hours, previous GPA, and participation in discussion forums.

Modeling Employee Performance Using Interaction Effects: A Multiple Linear Regression Application
The goal was to analyze how job satisfaction, number of training hours, and their interaction influence employee performance scores. The client a mid-sized HR consulting firm wanted to demonstrate to their enterprise clients how combining variables leads to more accurate performance predictions.
Process

Customer Reviews
5 reviews for this Gig ★★★★★ 4.8
he covered both technical details and simple explanation. I don’t have stats background but still could follow most of the report easily
my time series data was a mess but he cleaned and modeled it using ARIMA. final report was clear and ready to submit. small delay but quality was worth it
I asked for logit and probit models and he sent clean code in R with full APA formatted report. very satisfied with how readable the interpretations were
the regression part was strong and results were well written. would've liked a few more charts but overall great for my final thesis
he handled my panel data project in Stata perfectly. explained heteroskedasticity test also which I had no clue about. helped me meet the deadline