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Ivan S.

Business, Languages, Math

Philadelphia, PA (19103)

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5 miles
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I have worked at Johns Hopkins University and Temple University as a Teacher Assistant at the Departments of Finance. Also, I have several years of experience in teaching languages, statistics, business and math related subjects. I currently study towards PhD in Finance.

In addition to math, and business related subjects which are my main focus, I have fluent knowledge and experience tutoring and teaching languages: English, Russian, and Polish. I have taken and done test-preparation tutoring for the GMAT, GRE, TOEFL and my students have significantly improved the scores on exams.

Subjects I tutor:
1. Math: Algebra, Calculus, Discrete Math, Linear Algebra, Statistics, Econometrics;
2. Languages: English, Polish, Russian;
3. Finance related: Corporate Finance, International Finance, Financial Modeling, Fixed Income, Financial Accounting, Investment Portfolio Management, Microeconomics, Macroeconomics, Game Theory, Derivative Securities, Math for Economists.
4. Test preparation: TOEFL, GRE, GMAT.
5. Computer Related: SAS programming, STATA programming etc.

I have worked with children, adult learners and returning students. I am certified to teach at an American University.

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Ivan’s subjects

Actuarial Science, Calculus, Econometrics, Probability, Statistics
English, TOEFL
Polish, Russian, TOEFL
Accounting, Finance, GMAT, GRE
Accounting, Calculus, English, Statistics
Test Preparation:
Corporate Training:
Accounting, Finance, GMAT, Polish, Russian, Statistics


I have taken:
- 2 Econometrics classes at bachelor's level, - 2 at Master's level at Johns Hopkins University
- 3 at PhD level at Temple University

More details about the topics covered in Econometrics classes:

a. Structural and econometric models
b. Correlation vs. causation
c. Random sampling vs. experimental data
a. Asymptotic Theory
b. Linear Algebra
c. Conditional expectations
d. Analogy principle
Classic OLS Regression - I
a. Properties of the OLS estimator
b. Geometric interpretation of the OLS estimator
c. Difference-in-difference estimator
Classic OLS Regression - II
a. Endogeneity of regressors and other violations of the OLS assumptions
b. Generated regressors
Instrumental Variables (IV)
a. Two-stage least squares (2SLS) estimator
b. Properties of the 2SLS estimator
c. Validity of instruments
Simultaneous Equations Models
a. Identification in linear systems
b. Estimation of linear systems by 2SLS and 3SLS
c. Forbidden regressions
Panel Data Models - I
a. Random effects methods
b. Fixed effects methods
Panel Data Models – II
a. First differencing methods
b. Standard errors of panel data estimators
Maximum Likelihood Estimators (ML)
a. Conditional MLE, FIML, LIML
b. Properties of ML estimators
c. Hypothesis testing: Wald tests, LM tests, likelihood ratio tests
Generalized Method of Moments (GMM)
a. Properties of the GMM estimator
b. OLS, GLS, IV, ML as GMM estimators
Discrete Response Models
a. Index models: probit and logit, their estimation and reporting results
b. Binary response models with endogenous explanatory variables
c. Binary response models for panel data
Censored Regressions, Sample Selection, and Attrition
a. Tobit model
b. Mills ratio and Heckman procedure
c. Correcting for sample selection and attrition
Time Series Analysis
a. Stationary random processes
b. Autoregressive processes, moving average processes
c. Estimation of random processes
d. Forecasting

Econometrics III
Advanced topics and some reviewed papers:
a. Brief review: instruments, panel data analysis
b. Non-linear methods and models in Econometrics
c. Parametric vs. non-parametric methods
d. Cross-sectional vs. time-series analysis
Discrete Response Models:
a. Discrete response models: reminder
b. Binary response models with endogenous explanatory variables
Paper for discussion: Evans, W. N. and R. M. Schwab (1995) Finishing high school and starting college: Do
Catholic schools make a difference? Quarterly Journal of Economics 110, 941 – 974.
a. Tobit model: estimation and reporting the results
b. Specification issues in Tobit models
c. Censoring in panel data
Paper for discussion:
Cornick, J., T. L. Cox, and B. W. Gould (1994) Fluid milk purchases: A multivariate Tobit analysis. American Journal of Agricultural Economics 76, 74 – 82.
Sample Selection and Attrition
a. Truncated regressions
b. Heckman procedure
c. Correcting for sample selection and attrition
Treatment Evaluation
a. Treatment effects framework
b. Matching and propensity score
Paper for discussion:
Angrist, J. D. (1998) Estimating the labor market impact of voluntary military service using
social security data on military applicants. Econometrica 66, 249 – 288.
Count Data Models
a. Poisson regression models
b. Estimation and interpretation of coefficients
c. Alternative count regression models
Paper for discussion:
Chirinko, R. S. (1982) An empirical investigation of the returns to job search. American Economic Review 72, 498 – 501.
Duration Analysis
a. Hazard functions and covariates
b. Analysis of grouped duration data
c. Specification issues
Paper for discussion:
Costa, D. L. and M. E. Kahn (2003) Cowards and heroes: Group loyalty in the American
Civil War. Quarterly Journal of Economics 118, 519 – 548.
Generalized Method of Moments (GMM) - I
a. GMM estimator: definitions and properties
b. Optimal weighting matrixes
Generalized Method of Moments (GMM) - II
a. OLS, GLS, IV, ML as GMM estimators
b. GMM and systems of equations, 3SLS estimator
c. GMM and structural models
Paper for discussion:
Hansen, L. P. and K. J. Singleton (1982) Generalized instrumental variables estimation of
nonlinear rational expectations models. Econometrica 50, 1269 – 1286.

Semi-parametric and Non-parametric Estimation
a. Partially linear regression
b. Kernel density methods
c. Simulation-based methods

Bootstrap Methods
a. Standard error estimation
b. Bias reduction using bootstrap
c. Bootstrap modifications and extensions
Time Series Analysis I:
a. Stationary random processes
b. Autoregressive processes, moving average processes
c. Estimation of random processes
d. Forecasting
Time Series Analysis II: ARCH-type Processes
b. Estimation of ARCH-type processes
c. ARCH-type processes and financial time series
Time Series Analysis III: Advanced Topics
a. Cointegration and unit roots
b. Granger causality


I studied for three years at a Polish University (Warsaw University and Maria Curie Sklodowska University). I have a certificate of a teacher of Polish and my level is close to a native speaker.


I am a native Russian Speaker. I used to work at a Language School and taught Russian and Business Russian to foreigners before I started my PhD.


I have been actively using STATA for financial economics research. I have taken Econometrics I, Econometrics II, Econometrics III and Financial Econometrics class where I used STATA for my homework and projects. STATA is a very powerful statistical tool. It is most popular with academics in social science fields and I can help students master STATA and its applications.

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Best Russian Tutor in All of Philly — Ivan is experienced, well prepared, speaks great English and is very dependable. He is the best Russian tutor in Philly. ...

— Allan from Philadelphia, PA on 4/9/12

Hourly fee

Standard Hourly Fee: $105.00

Cancellation: 24 hours notice required

My rate is negotiable for each student.

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Ivan will travel within 5 miles of Philadelphia, PA 19103.

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