Econometrics is the study of economics by utilizing time series based statistical methods to provide analysis of current economic behavior and develop models to forecast future economic activity. Econometrics uses statistical modeling to trend economic variables of interest, which can then be used to make important economic decisions. Important topics include autoregressive moving models, linear and non-linear regression, and time series modeling.

We provide comprehensive Econometrics tutoring for students including the following Econometrics topics:

• Adaptive Expectations Model
• ARIMA
• ARMA
• Autocorrelation
• Autoregressive Moving Average
• Binary Choice Models
• Box-Cox Tests
• Chi-Square Test
• Chow Test
• Cochrane-Orcutt Procedure
• Cointegration
• Covariance and Correlation
• Cyclical Fluctuations
• Dummy Variables
• Durbin Watson
• Dynamic Models
• Economic Volatility
• Explanatory Variables
• First Order Difference Equations
• Frisch-Waugh Method
• Gauss-Markov Theorem
• Goodness of Fit
• Heteroscedasticity
• Indirect Least Squares
• Koyck Transformations
• Least Squares Estimates
• Least Squares Regression
• Logarithmic Transformations
• Logit Analysis
• Moving Average Process
• Multicollinearity
• Multiple Regression Analysis
• Nonlinear Regression
• Nonstationarity Time Series
• Partial Adjustment Model
• Probit Analysis
• Proxy Variables
• Seasonality Economic Time Series
• Simple Linear Regression
• Simulation Models
• Spearman Rank Correlation Test
• Static Models
• Stationarity Time Models
• Stochastic Regression
• Structural Equations
• Time Series Modeling
• Transformation of Variables
• Two Stage Least Squares
• Weighted Least Squares Regression