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Data Ana­lyt­ics in Eco­nom­ic Con­sult­ing: Prac­tic­al Ap­plic­a­tions and Tools

About the course

What you will learn

  • Understand the basics of Supervised Machine Learning
  • Evaluate the principles behind maximum likelihood estimation.
  • Identify average treatment effects using instrumental variables, control function approach, regression-discontinuity-design, matching, propensity score matching, difference-in-differences, event study and duration (survival) analysis.
  • Analyze data using STATA and R (econometric software packages widely used within the economic consulting industry).
  • Demonstrate the ability to be analytical with data and perform independent advanced analyses, where the student can apply methods to a wide range of problems related to functions in the economic consulting industry and relate the results to a broader context.
  • Analyze problems suitable for functions in an Economic Consulting context, such as those related to the evaluation of both public and private programs and business interventions that typically involve the identification of causal effects.