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ETS3410: Applied econometrics

6 points, SCA Band 3, 0.125 EFTSL

Undergraduate – Unit

Refer to the specific census and withdrawal datesfor the semester(s) in which this unit is offered.

Faculty

Business and Economics

Offered

South Africa

  • First semester 2018 (On-campus)

Prerequisites

ETS2410 or equivalent.

Prohibitions

ETW3410, ETC3410

Synopsis

This unit presents econometric models and techniques that are widely used in modern applied econometrics. Emphasis is placed on models that address the special problems that arise when analysing microeconomic data, that is, data at the level of individual consumers, households and firms. The topics covered include modelling discrete dependent variables, modelling data sets that have both a cross-section and a time-series dimension and conducting inference in models in which the dependent variable is jointly determined with one or more of the regressors. The models taught in this unit are widely used in empirical work in economics, finance and marketing.

Outcomes

The learning goals associated with this unit are to:

  1. conduct statistical inference in statistical models with a binary dependent variable (LOGIT and PROBIT models)
  2. conduct statistical inference in statistical models with a limited dependent variable (TOBIT and Censored Regression models)
  3. conduct statistical inference in statistical models with one or more endogenous explanatory variables
  4. conduct statistical inference in a system of simultaneous equations
  5. conduct statistical inference on data that has a time series dimension.

Assessment

Within semester assessment: 40% + Examination: 60%

Workload requirements

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

Chief examiner(s)

Mr Rakesh Bhurtun

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