Jul 18, 2024  
2020-2021 Undergraduate Catalog 
2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

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ECON 424 - Introduction to Econometrics

Evaluation of economic models and forecasting of economic variables using multiple regression techniques and cross sectional data. Brief introduction to advanced techniques which may include IV, time series, logit and probit, or panel data methods. Formerly ECON 324, students my not receive credit for both.

Prerequisites: BUS 221 or MATH 211 or PSY 362 or SOC 363.

Credits: (5)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

  • Construct a linear econometric model that may be used to evaluate the validity of an economic model.
  • Enter data into regression software packages, and use that data to estimate linear econometric models.
  • Determine the statistical significance of variables in linear econometric estimations.
  • Forecast the value of dependent variables for given values of independent variables.
  • Test and correct for heteroskedasticity.
  • Identify functional form misspecification, including omitted variable bias, and correct for misspecification with additional variables, proxy variables, and instrumental variables.

Learner Outcomes Approval Date:

Anticipated Course Offering Terms and Locations:
Fall Locations: Ellensburg

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