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STA 413 Econometrics

HND2 levelSciences39 topics

STA 413 covers 39 topics. StudyPath paces them into daily study sessions that finish before your exam date, with practice questions and worked answers for each one.

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Course outline

The topics this course covers, in teaching order.

  1. Introduction to econometrics
  2. Economic data quality and measurement
  3. Production, consumption and investment functions
  4. Economic model construction
  5. Price elasticity of demand and sales
  6. Maximum likelihood estimation in economic models
  7. Applications of economic models
  8. Regression models for economic variables
  9. Hypothesis testing in econometric models
  10. Correlation analysis in economics
  11. Hypothesis testing in regression
  12. Correlation coefficients
  13. Partial and multiple correlation
  14. Analysis of variance in economics
  15. Homoscedasticity and heteroscedasticity
  16. Multicollinearity
  17. Autocorrelation and serial correlation
  18. Residuals and autocorrelation parameters
  19. Measurement errors in variables
  20. Dummy variables
  21. Simultaneous equation models
  22. Two-stage least squares (2SLS)
  23. Lagged variables
  24. Distributed lag models
  25. Sources of medical statistics
  26. Health and vital statistics
  27. Uses, forms and nature of medical data
  28. Birth and death registration processes
  29. Registration certificates and international comparisons
  30. C.I.D. principles and historical development
  31. Vital and health statistical indices
  32. Standardization of rates
  33. Clinical trials and ethical issues
  34. Placebo treatment and trial design
  35. Cross-over designs and morbidity surveys
  36. Retrospective, prospective and cohort studies
  37. Case-control, double-blind and follow-up studies
  38. Sequential clinical trials and common fallacies
  39. Basic epidemiology

A sample from this course

One topic, as StudyPath teaches it.

Introduction to econometrics

Introduction to econometrics covers the purpose of econometrics, the distinction between theory and empirical work, and the basic steps of an empirical analysis. Mastery of these concepts is essential because they form the foundation for all subsequent econometric modelling and for interpreting results in exams such as NUC CCMAS, NBTE, and NCCE.

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