Data Analysis
STATA Data Analysis in India
STATA is a comprehensive, integrated statistical software platform widely used in Economics, Finance, Public Health, Epidemiology, Political Science, Sociology, and Social Policy research. Its strength lies in advanced econometric modelling, panel data analysis, time series analysis, and survival analysis — capabilities that go beyond what SPSS typically offers, and that are increasingly required in research targeting high-impact academic journals.
For PhD scholars and researchers working with large-scale secondary datasets, longitudinal data, financial time series, or experimental data, STATA provides the analytical depth and methodological flexibility to produce rigorous, publication-worthy results. But its command-line interface and the complexity of its advanced procedures make it one of the more demanding research tools for scholars without formal econometrics training.
At E-Clearby Research Consulting Pvt. Ltd., we provide expert STATA data analysis services for PhD scholars, researchers, and faculty members across India. Our consultants manage the full analytical workflow, from data preparation and model selection through to output interpretation and results write-up, enabling you to leverage STATA's capabilities without the steep learning curve.
Get Expert Guidance
Start your journey to a successful PhD today.
What Our STATA Data Analysis Service Includes
Our STATA engagement covers the full range of statistical and econometric analysis procedures:
Data Import and Cleaning
We import your dataset — from Excel, CSV, SPSS, or other formats — into STATA, handle missing data, remove duplicates, recode variables, and generate new variables as required by your analysis plan.
Descriptive Statistics and Data Visualisation
We produce summary statistics, frequency tables, cross-tabulations, histograms, scatter plots, and box plots, using STATA's tabstat, summarize, and twoway commands, to characterise your dataset before inferential analysis.
Standard Regression Analysis
OLS simple and multiple linear regression, robust regression, and heteroscedasticity-corrected standard errors using STATA's reg, robust, and regress commands.
Panel Data Analysis
Fixed effects, random effects, and Hausman test-based selection between models for longitudinal and panel datasets, using STATA's xtreg, xtfe, and xtre commands. Essential for economic, financial, and social policy research using multi-year datasets.
Time Series Analysis
ARIMA, ARMA, VAR (Vector Autoregression), VECM, Granger causality testing, and unit root tests (ADF, KPSS, Phillips-Perron) for time-based economic and financial data.
Logistic and Probit Regression
Binary and multinomial logistic regression and probit models for categorical outcome variables in health, policy, and social science research.
Survival Analysis
Kaplan-Meier estimators, Cox proportional hazards regression, and accelerated failure time models for time-to-event data in clinical, health, and social research.
Instrumental Variable (IV) and Two-Stage Least Squares (2SLS)
For studies where endogeneity is a concern and instrumental variables are required to obtain unbiased estimates.
Difference-in-Differences (DiD) Analysis
For quasi-experimental research evaluating the causal effect of a policy or intervention using pre-post comparisons between treatment and control groups.
Do-File and Log-File Delivery
All STATA analysis is conducted using do-files, which we deliver alongside the analysis log, ensuring full transparency, reproducibility, and auditability of every step.
Specialized Modules
Sub-Services
Module 01
Panel Data Analysis in STATA
Panel data analysis is essential for economic, social policy, and finance research using datasets that track individuals, firms, or countries over multiple time periods. We select between fixed and random effects models using the Hausman test, conduct appropriate specification tests, and interpret the results in the context of your research objectives, with a focus on producing outputs that meet the standards of economics and policy journals.
Module 02
Time Series and Econometric Analysis in STATA
For research involving macroeconomic data, financial time series, or other sequential data, we conduct unit root testing, cointegration analysis (Johansen, Engle-Granger), ARIMA and VAR modelling, and Granger causality testing in STATA. All analyses are accompanied by diagnostic tests for autocorrelation, heteroscedasticity, and structural breaks.
Module 03
Regression Modelling and Hypothesis Testing in STATA
For PhD and Masters researchers using STATA for primary or secondary survey data, we conduct OLS and robust regression, test all regression assumptions, correct for heteroscedasticity and multicollinearity where present, and produce a clean, well-structured results chapter with full written interpretation.
Module 04
Survival Analysis and Event Data Analysis in STATA
For health science, clinical research, and social science studies examining time-to-event outcomes, we conduct Kaplan-Meier survival curves, log-rank tests, and Cox proportional hazards regression in STATA, with appropriate assumption checks (proportional hazards assumption) and clearly reported hazard ratios with confidence intervals.
Module 05
STATA Do-File Development and Analysis Documentation
For researchers who want to build their own understanding of the STATA workflow, or who need a reproducible, fully documented analysis script for thesis submission or peer review, we develop structured do-files with inline comments explaining every command, and deliver log files that document the complete analytical process.
STATA vs. SPSS: Choosing the Right Statistical Tool for Your Research
See how our professional academic advisory compares to generic online alternatives.
| Feature | Generic Online Services | E-Clearby Research Consulting |
|---|---|---|
| Interface | Menu-driven with syntax option | Command-line (do-file) with menus |
| Primary Strengths | Survey data analysis, social sciences, management | Econometrics, panel data, time series, survival analysis |
| Panel Data Handling | Limited | Excellent, fixed/random effects, robust SE |
| Time Series Analysis | Basic | Advanced, ARIMA, VAR, VECM, unit root tests |
| Survival Analysis | Basic | Full Kaplan-Meier, Cox regression, AFT models |
| Reproducibility | Syntax files | Do-files, highly reproducible and journal-standard |
| Common Disciplines | Management, Education, Health Sciences, Social Sciences | Economics, Finance, Epidemiology, Public Policy, Political Science |
| Learning Curve | Moderate | Steeper, especially for command-based procedures |
Frequently Asked Questions
Get Rigorous, Reproducible STATA Analysis That Stands Up to Journal and Examiner Scrutiny
STATA's power is in its depth, but that depth requires technical expertise to use correctly. Our STATA consultants will execute your analysis accurately, deliver fully documented do-files, and write up your results in the format your thesis or target journal demands.
Get STATA Data Analysis Support →