From Raw Data to Defensible Results
Your research hinges on rigorous empirical analysis. We partner with you to design a sound methodology, execute complex statistical models, and interpret the results, ensuring your data tells a clear and powerful story.
Is Your Empirical Strategy Built on Solid Ground?
You have a compelling research question and a dataset full of potential. But bridging the two is a maze of critical decisions. Choosing the wrong model or misinterpreting your output can undermine your entire thesis or research paper.
Researchers often get stuck here:
Model Selection Paralysis: OLS? Fixed Effects? DiD? The number of potential models is overwhelming, and the assumptions for each are complex.
The Data Dragon: Real-world data is messy. You’re spending 80% of your time cleaning, merging, and wrestling with missing values instead of doing the actual analysis.
The “Black Box” Output: Your software produces tables filled with coefficients, standard errors, and p-values, but what do they actually mean for your research question?
The Fear of Scrutiny: You’re worried your supervisor, committee, or a journal reviewer will find a fatal flaw in your empirical approach.
Your analysis is the engine of your research. It needs to be flawless.
Achieve Rigor, Clarity, and Confidence in Your Findings
We act as your dedicated quantitative specialists, bringing PhD-level expertise to your project. We ensure your empirical work is not just correct, but robust, transparent, and compellingly presented.
Methodological Rigor: We start with your hypothesis to design the ideal empirical strategy, ensuring the model fits the data and answers your question correctly.
Flawless Execution & Transparency: We conduct the analysis, providing you with the fully commented code (Stata, R, Python, SPSS). You see every step we took, ensuring full transparency and reproducibility.
Interpretation as a Story: We translate complex statistical output into a clear, narrative-driven interpretation. We help you write the results chapter, explaining not just what you found, but why it matters.
Robustness as a Standard: We don’t just run one model. We perform essential diagnostic and robustness checks to ensure your findings are not a statistical fluke.
Our Expertise Covers the Landscape of Empirical Research
We have deep, practical experience in the techniques required for cutting-edge academic research.
Our Core Analysis Package Includes:
Data Cleaning & Preparation Script: A fully commented script to prepare your raw data for analysis.
Main Analysis Script: The script executing the primary models and robustness checks.
Output Log File: The raw, unedited output from the statistical software for your records.
Formatted Results Tables: Publication-quality tables (e.g., for Word or LaTeX) presenting the main findings.
Results Interpretation Report: A written report (typically 5-15 pages) explaining the methodology, the results in each table, and the overall conclusion.
Econometric Models We Master:
Cross-Sectional: OLS with Robust SE, WLS, Instrumental Variables (2SLS, GMM), Quantile Regression, Propensity Score Matching (PSM).
Panel Data: Pooled OLS, Fixed Effects (FE), Random Effects (RE), Hausman Tests, Dynamic Panel (Arellano-Bond), Difference-in-Differences (DiD).
Time Series: ARIMA/SARIMA, VAR/VECM, ARCH/GARCH, Causality Tests.
Limited Dependent Variables: Logit/Probit/Multinomial, Tobit, Heckman Selection Models, Poisson/Negative Binomial.
Advanced Methods: Regression Discontinuity Design (RDD), Survival Analysis, Structural Equation Modeling (SEM).