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Econometrics

The aims of the course is to (i) introduce students to techniques for performing statistical analysis on quantitative data focusing on the estimation of the regression model (ii) help students solve problems commonly encountered in estimating statistical models like the regression model, and (iii) teach students to interpret the estimates from such models and (iv) enable students to be able to perform quantitative analysis using secondary data.

  • Major Elective for Business Administration & Management Information Systems majors
  • Non-Major Elective for Computer Science & Engineering majors
  • Prerequisites: Micro-economics or Macro-Economics or Principles of Economics; and Statistics and Quantitative Methods (Multi Variable Calculus can replace Quant Methods as a pre-requisite for this class)
Offered: Typically offered in Semester 1
Course Type: Lecture
  • Credit Hours: 4
  • Ashesi Credit Units: 1
  • Hours per week classroom: 3
  • Hours per week discussion: 1

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