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EIA2012         MATHEMATICAL ECONOMICS
                 3 Credits

                 Pre-requisite   Passed EIA1012 Mathematics

                 Learning        At the end of the course, students are able to:
                 Outcomes
                                 1.   Recognize mathematical logics and tools for formal economic analysis.
                                 2.   Present economic theory using mathematical equations and/or models.
                                 3.   Apply appropriate mathematical techniques to solve economic problems.

                 Synopsis        This  course introduces  students to  the  mathematical  tools  and  concepts  that  are  most
                                 frequently  used  in  economic  models  of  the  firm  and  consumer  behavior.  The  course
                                 focuses  on  mathematical  representations  of  optimizing  individuals  in  a  wide  variety  of
                                 "choice settings." The models can be used to analyze decision making in any setting in
                                 which  individuals  have  reasonably  clear  goals  (objective  functions)  and  confront
                                 reasonably clear constraints. The methods developed can be used to analyze traditional
                                 economic decisions by firms and consumers.

                 Medium of       English
                 Instruction

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




                 EIA2013         ECONOMETRICS I
                 3 Credits

                 Pre-requisite   Passed EIA2017 Statistics II

                 Learning        At the end of the course, students are able to:
                 Outcomes
                                 1.   Explain the econometric concepts based on linear regression.
                                 2.   Apply  regression  analysis  and  related  techniques  for  quantifying  economic
                                     relationships.
                                 3.   Report the results of estimation and hypothesis testing.
                                 4.   Perform diagnostic tests of the assumptions of classical linear regression model.

                 Synopsis        This course introduces the concepts and use of basic econometrics technique to enforce
                                 intuitive understanding about regression analysis for estimation, prediction and inference.
                                 Topics covered are simple regression, parameter estimation, confidence intervals,
                                 hypothesis testing, model fit and diagnostics; multiple regression (including dummy
                                 variables and quantitative dependent variable), independent variables selection and
                                 model selection; functional forms; and classical assumption problems.

                 Medium of       English
                 Instruction

                 Assessment      Continuous assessment  :  50%
                 Weightage       Final examination            :  50%
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