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I will run cross sectional regression analysis in stata, r, or eviews
Data Analyst
Hi! I'm a Statistics and Economic Forecasting student at Babeș-Bolyai University with strong skills in data analysis, financial analysis and econometrics. I am using R Studio, Excel and EViews to turn...
Informazioni su questo servizio
Do you have a dataset with many observations at a single point in time customers, companies, survey respondents, products and need to understand what factors actually explain an outcome?
I'm a Statistics and Economic Forecasting graduate (Babeș-Bolyai University) specializing in applied econometrics. I work with cross-sectional data in Stata, R, or EViews, whether your outcome is a continuous number (OLS regression) or a yes/no outcome (logit/probit models).
What I can help with:
OLS regression with clear coefficient interpretation
Logit/Probit models for binary outcomes (e.g. purchase vs. no purchase, default vs. no default)
Multicollinearity (VIF) and heteroscedasticity diagnostics
Model fit and significance testing
Clear, non-technical interpretation you'll understand what actually drives your outcome, not just get a coefficient table
Not sure if OLS or logit/probit fits your data? Send me a sample and what you're trying to explain I'll recommend the right approach before you order.
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FAQ
What's the difference between OLS and logit/probit?
OLS is used when your outcome is a continuous number. Logit/probit are used when your outcome is binary (e.g. yes/no, success/failure) — they estimate the probability of the outcome rather than its exact value.
How do I know which model fits my data?
Send me a sample before ordering — I'll look at your outcome variable and recommend the right model.
Will I understand the results if I'm not a statistics expert?
Yes — every delivery includes a plain-language interpretation of what the results mean for your data.
Can you handle survey or customer data, not just financial data?
Yes, cross-sectional methods apply to any dataset with many observations at one point in time — customer, survey, or company data all work.
