Elementary Econometrics Assignment Homework Help

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The team has helped a number of students in Elementary Econometrics pursuing education through regular and online universities, institutes or online Tutoring in the following topics:

• Applied Regression Analysis
• Asymptotic theory
• Autocorrelation and multicollinearity
• Binary Response Models
• Central limit theorems
• Classical linear regression model
• Coefficient of Determination
• Confidence Intervals in Multiple Regression
• Criteria for good estimators
• Detecting Multicollinearity
• Distribution functions
• Dummy explanatory variables
• Dynamic demand models
• Elementary probability theory
• Equation econometric model
• Estimate parameters in regressions equations
• Estimation of structural simultaneous equations
• Estimation of the reduced form of the simultaneous equations
• Experiments and Quasi-Experiments
• heteroskedastic or auto-correlated
• Hypothesis Testing using Matrix Algebra
• Identification problem of structural simultaneous equation models
• Independence of random variables
• inference to the multiple linear regression model
• Interdependent and recursive simultaneous equation models
• Joint distributions conditional distributions
• least-squares method of estimation to the context of the simple linear regression model
• Limited Dependent Variables
• Linear Regression with Single and Multiple regressors
• Logit and Probit Models
• Neyman pearson lemma
• Nonlinear Regression and Specification Analysis.
• Nonstationarity and autocorrelation.
• Omitted Variables and Irrelevant Variables
• Regression with Dummy Variables
• Relationship between two random variables
• Specification, interpretation and testing of the econometric models
• Test hypotheses and forecast in the context of the linear regression model
• t-Tests, p-Values and F-Tests
• Two stage least squares method
• use estimated regression models for prediction
• Violation of the exogeneity assumption

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