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EIA2014         ECONOMETRICS II
                 3 Credits

                 Pre-requisite   Passed EIA2013 Econometrics I

                 Learning        At the end of the course, students are able to:
                 Outcomes
                                 1.   Apply  econometric  techniques  that  are  appropriate  for  different  types  of  data
                                     structure.
                                 2.   Report the estimation results for statistical inference.
                                 3.   Perform diagnostic tests for the estimated model.
                                 4.   Solve problems of estimation.

                 Synopsis        This course introduces econometric techniques that are widely used in economics for cross
                                 section, time series and panel data. Emphasis is on application of  techniques that are
                                 appropriate for empirical studies. Estimation and inference for single- and multiple-equation
                                 systems  are  the  main  focus.  Techniques  for  both  quantitative  and  qualitative  data  are
                                 taught. Diagnostic tests are for detecting estimation problems and remedial measures are
                                 also covered in the course.

                 Medium of       English
                 Instruction

                 Assessment      Continuous Assessment   : 50%
                 Weightage       Final Examination             : 50%



                 EIA2017         STATISTICS II
                 3 Credits

                 Pre-requisite   Passed EIA1011 Statistics I

                 Learning        At the end of the course, students are able to:
                 Outcomes
                                 1.   Explain the basic concepts of inferential statistics.
                                 2.   Use the inferential statistics in different fields.
                                 3.   Demonstrate ability to assess the outcome of the inferential statistics.
                                 4.   Perform non-parametric tests.

                 Synopsis        The first part of the course introduces the continuous probability and sampling distributions
                                 which  form  the  basic  knowledge  of  statistical  inference.  The  second  part  focuses  on
                                 statistical inference such as estimation and hypothesis testing. The third part covers various
                                 non-parametric statistics.

                 Medium of       English
                 Instruction

                 Assessment      Continuous Assessment   : 40%
                 Weightage       Final Examination             : 60%
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