You will get an empirical analysis using STATA, EVIEWS, R, SPSS, AMOS, JAMOVI, and GRETL
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Project details
Statistical and Econometric Techniques:
Descriptive and Exploratory Analysis: Descriptive Statistics, Trend Analysis and Visualization, Hypothesis Testing, Non-parametric Tests, Normality Tests, Correlation Analysis
Advanced Statistical Models: Discriminant Analysis, Tobit Regression, Factor Analysis, PCA, MCA/JCA, Cluster Analysis, Logistic Regression
Event Studies: three market models, CAR and BHAR
Risk Analysis: VaR and CVaR, Monte Carlo Simulations
Structural Models: SEM, Path Analysis, Mediation and Moderation Analysis
Time Series Analysis: Stationarity Testing, ARIMA and SARIMA Models, ARCH/GARCH, Cointegration Analysis, Forecasting and Scenario Analysis, Seasonal Decomposition of Time Series, Frequency Domain Analysis
Cross-sectional and Panel Data Analysis: Pooled OLS, Fixed Effects, and Random Effects Models, LM tests, and Hausman tests, Dynamic Panel Models
Regression Techniques: OLS, FGLS, and DOLS, Quantile Regression, Ridge and Lasso Regression, ARDL and NARDL, 2SLS, IV, Probit and Logit, Poisson and Negative Binomial Regression
Multivariate Time Series: VAR and VECM, Impulse Response Functions and Variance Decomposition, SVAR, FAVAR, Granger Causality Testing
Descriptive and Exploratory Analysis: Descriptive Statistics, Trend Analysis and Visualization, Hypothesis Testing, Non-parametric Tests, Normality Tests, Correlation Analysis
Advanced Statistical Models: Discriminant Analysis, Tobit Regression, Factor Analysis, PCA, MCA/JCA, Cluster Analysis, Logistic Regression
Event Studies: three market models, CAR and BHAR
Risk Analysis: VaR and CVaR, Monte Carlo Simulations
Structural Models: SEM, Path Analysis, Mediation and Moderation Analysis
Time Series Analysis: Stationarity Testing, ARIMA and SARIMA Models, ARCH/GARCH, Cointegration Analysis, Forecasting and Scenario Analysis, Seasonal Decomposition of Time Series, Frequency Domain Analysis
Cross-sectional and Panel Data Analysis: Pooled OLS, Fixed Effects, and Random Effects Models, LM tests, and Hausman tests, Dynamic Panel Models
Regression Techniques: OLS, FGLS, and DOLS, Quantile Regression, Ridge and Lasso Regression, ARDL and NARDL, 2SLS, IV, Probit and Logit, Poisson and Negative Binomial Regression
Multivariate Time Series: VAR and VECM, Impulse Response Functions and Variance Decomposition, SVAR, FAVAR, Granger Causality Testing
Data Tool
StataWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 2 days
- Number of Revisions 5
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$70Frequently asked questions
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MM
Marshall M.
Jun 25, 2026
Data Modeling Consulting
John booked a call within 5 minutes of reaching out. We spoke for 30 minutes and he was very helpful! I look forward to working again soon. Thank you, John!
RM
Ricardo M.
Jun 15, 2026
ricardo martinez
John Olowoyo not only is a great R Studio instructor but is the greatest at explaining complex econometric and statistical terms. I had the pleasure of working with him as my coach on R and multilevel regressions in preparation for my academic work. We would bounce ideas each other and discuss nuances on methodological choices that made learning pretty efficient. I would work with John again, and would recommend him for works either professional or academic level. He is a true quantitative professional!!!
JB
John B.
Jun 10, 2026
Data analysis
John is highly professional. He delivered high-quality work within a short time and was available to provide additional support after completion of the work
MT
Melchizedek Israel T.
May 22, 2026
Term Paper - Consumer Behaviour and Marketing Decision Models
MT
Manuel T.
Mar 4, 2026
Economic Impact Report
A pleasure working with this talented consultant.
About John
Economist, Researcher, and Data Analyst
100%
Job Success
Lagos, Nigeria - 1:26 am local time
I provide comprehensive research support across all stages of a project, including introduction, literature review (conceptual review, theoretical review, and empirical review), methodology and data collection, data analysis, discussion of findings, conclusion, and recommendations.
With 4 peer-reviewed publications available on my Google Scholar profile, I bring strong expertise in quantitative research, econometric modelling, survey analysis, and academic writing. I support students, researchers, businesses, and organizations in building solid research frameworks, defensible methodologies, and clear, evidence-based interpretations.
For every analysis project, I can also provide the relevant codes, syntax, or do-files to help you replicate the results and understand the analytical process.
Let’s connect. Your project deserves clarity, precision, and data-driven guidance.
Steps for completing your project
After purchasing the project, send requirements so John can start the project.
Delivery time starts when John receives requirements from you.
John works on your project following the steps below.
Revisions may occur after the delivery date.
Analysis
Running the test and put the result in a structured table
Interpretation
After running the analysis, I will interpret the results to be used for the discussion of the result